Audio

Xiaomi MiMo-V2.6-Pro is Xiaomi MiMo's September 21, 2026 flagship open-weights MoE (1.02T total / 42B active), succeeding proprietary MiMo-V2.5-Pro. First-party HF checkpoint XiaomiMiMo/MiMo-V2.6-Pro-RL (MIT; ungated; 1M context) is the released Pro RL weights; product/API id is mimo-v2.6-pro. HF README: native omnimodal + long-horizon agents; You Only RL Once mixed RL across coding/agents/visual/cybersecurity. Official product page (mimo.mi.com) and @XiaomiMiMo announce open-sourcing of Pro and Flash with tech report. Overseas API pricing matches V2.5-Pro: $0.0036 cache-hit / $0.435 cache-miss input and $0.87 output per 1M tokens (pay-as-you-go). Artificial Analysis reports Intelligence Index 46 as a top open-weight score. Sparse MoE MiMoV2ForCausalLM; 70 layers (60 SWA / 10 GA); 384 routed experts / 8 activated per token; hybrid SWA+GA backbone; native omnimodal (text/image/video/audio); 681M MiMo ViT vision encoder; MTP blocks.

$0.435 in / $0.870 out / 1M tokens

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Seedance 1.5 Pro is ByteDance Seed's joint audio-video generation model for text- and image-driven video with synchronized sound. Its Volcengine route remains live while scheduled for retirement.

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Seedance 2.0 Mini is the separately addressable compact Volcengine surface for ByteDance's multimodal joint audio-video generation family.

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Seedance 2.0 Fast is the separately addressable speed-optimized Volcengine surface for ByteDance's multimodal joint audio-video generation family.

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Cosmos 3 Nano is NVIDIA's 16B-parameter omnimodel optimized for efficient inference on workstation-grade hardware (NVIDIA RTX PRO 6000). Architecture: dual-tower Mixture-of-Transformers with an 8B autoregressive Reasoner and an 8B diffusion-based Generator. The Reasoner supports up to 256K tokens of context for vision-language reasoning; the Generator produces video up to 720p at variable frame rates (default 189 frames). Natively handles text, image, video, audio (48kHz stereo), and robot action trajectories across 10+ robot embodiments including Franka Panda, UR, Google robot, and UMI. BF16 precision only. Available as open weights on Hugging Face and via the Cosmos 3 Reasoner NIM (NIM_MODEL_SIZE=nano). Intended for real-time robotics inference and edge-adjacent deployment. Robot action input/output is preserved in this description because the model schema does not have a dedicated action modality field.

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Cosmos 3 Super is NVIDIA's flagship 64B-parameter omnimodel for physical AI, designed for large-scale synthetic data generation and high-fidelity simulation on NVIDIA Hopper and Blackwell datacenter GPUs. Architecture: dual-tower Mixture-of-Transformers with a 32B autoregressive Reasoner and a 32B diffusion-based Generator. Supports 256K token reasoning context, 720p video generation at variable frame rates, and 10+ robot embodiment action domains. Ranked #1 among open models on Physics-IQ, PAI-Bench, R-Bench, RoboLab, RoboArena, VANTAGE-Bench, TAR, and Artificial Analysis image/video leaderboards (Computex 2026). Training data: 1.3B data points across 393 datasets (2024-2026). Inference performance (vLLM-Omni): ~55s for 50-step video on 8xH200. Available as open weights on Hugging Face and via Cosmos 3 Reasoner NIM (NIM_MODEL_SIZE=super). Robot action input/output is preserved in this description because the model schema does not have a dedicated action modality field.

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Seedance 2.0 is ByteDance Seed's flagship joint audio-video generation model. It accepts text, image, audio and video references and generates controllable, synchronized audiovisual output.

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Cosmos 3 Super Image2Video is a 64B-parameter fine-tuned variant of Cosmos 3 Super specialized for temporally coherent image-to-video generation. Takes a single image (jpg/png/webp at 256p-720p) plus an optional text prompt (up to 4096 tokens) and outputs MP4 video with 5-400 frames (default 189) at up to 720p, with optional muxed AAC stereo audio at 48kHz. Ranked #1 on Artificial Analysis image-to-video leaderboard (open models). Available via Hugging Face Diffusers and vLLM-Omni.

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Nemotron 3 VoiceChat is NVIDIA AI's Nemotron 3 model with multimodal text and image input. It was released 2026-03-16.

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GPT-4o Audio Preview (12-17) is OpenAI's GPT-4o Audio model. It offers a 128K-token context window.

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GPT-4o model with integrated audio I/O capabilities for multimodal interactions.

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Cosmos 3 Edge is NVIDIA's announced preview size variant for real-time edge inference in the Cosmos 3 family. It is intended for lower-compute physical AI workloads than Cosmos 3 Nano. NVIDIA has not disclosed parameters, context window, license terms, public weights, or API access as of 2026-06-01; the released Cosmos 3 rows cover Nano, Super, Text2Image, Image2Video, and Nano Policy DROID.

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Gemini 3 Flash is Google's speed-optimized Gemini 3 model, available in public preview via the Gemini API and Vertex AI. It supports text, image, audio, and video inputs with a 1M token context window and is priced at $0.50 per 1M input tokens and $3.00 per 1M output tokens.

$0.500 in / $3.00 out / 1M tokens

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IBM Granite 4.0 1B Speech is a multilingual ASR (Automatic Speech Recognition) and AST (Automatic Speech Translation) model. Supports English, French, German, Spanish, Portuguese, and Japanese with higher English ASR accuracy and faster inference via speculative decoding. Features keyword biasing for names and acronyms.

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Gemini 3.5 Flash is Google DeepMind's generally available Flash model for sustained frontier-level performance on agentic and coding tasks. It supports multimodal inputs, native thinking, tool and function calling, structured outputs, code execution, search grounding, batch processing, and long contexts up to 1M tokens.

$1.50 in / $9.00 out / 1M tokens

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Audio model for inputs/outputs via Chat Completions API. Replaces deprecated gpt-4o-audio-preview-2024-12-17.

$2.50 in / $10.00 out / 1M tokens

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GPT Audio Mini is OpenAI's GPT Audio model with multimodal text and image input. It offers a 125K-token context window.

$0.600 in / $2.40 out / 1M tokens

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OpenAI: GPT-4o Audio available via OpenRouter. Pricing: $2.5/1M input, $10/1M output.

$2.50 in / $10.00 out / 1M tokens

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Whisper 1 is OpenAI's general-purpose speech recognition API model, based on Whisper large-v2, released March 2023. Supports multilingual transcription across 50+ languages, speech translation into English, and language identification. Priced at $0.006/min of audio (flat per-minute rate). Exposed via /v1/audio/transcriptions and /v1/audio/translations. For new applications, gpt-4o-transcribe offers better accuracy. API ID: whisper-1.

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MAI-Transcribe-1.5 is Microsoft AI's second-generation speech-to-text transcription model. It supports 43 languages, domain-specific terminology recognition, and Microsoft-reported five-times-faster transcription than competing models while maintaining state-of-the-art accuracy. Streaming support was announced as coming soon at launch.

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MAI-Voice-2 is Microsoft AI's second-generation text-to-speech and voice synthesis model. It supports natural speech generation across 15+ languages, voice adaptation from short audio samples, a broader emotional range, and built-in safeguards against misuse. Microsoft announced a Flash variant as coming soon, but that unreleased variant is intentionally excluded from this seed integration.

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StepAudio 2.5 ASR is StepFun's automatic speech recognition model. At 4B parameters, it introduces Multi-Token Prediction (MTP) technology to parallelly predict multiple tokens per decoding step, enabling transcription of 5 minutes of audio in approximately 1 second. Achieves 400% higher throughput and 60% lower latency compared to prior StepFun ASR systems while maintaining state-of-the-art accuracy. Supports Chinese and English; accepts PCM, OGG, MP3, and WAV formats. Available via the StepFun API (model: stepaudio-2.5-asr). Part of the unified StepAudio 2.5 architecture described in arXiv:2605.23463.

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TTS-1 is OpenAI's text-to-speech model optimized for real-time, low-latency applications, released at DevDay November 2023. Accepts text input up to 4,096 characters and outputs audio in MP3, OPUS, AAC, FLAC, WAV, or PCM. Offers 6 preset voices (alloy, echo, fable, onyx, nova, shimmer). Lower output quality than TTS-1 HD but faster. Priced at $15.00/1M characters. API ID: tts-1.

$15.00 in / - out / 1M tokens

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Eleven Multilingual v2 is ElevenLabs' stable production TTS model, optimized for long-form content in 29 languages with emotionally rich synthesis. Maximum input: 10,000 characters per request. The default high-quality model prior to Eleven v3 GA. Priced at $0.10/1K characters ($100/1M chars). API ID: eleven_multilingual_v2.

$100.00 in / - out / 1M tokens

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TTS-1 HD is OpenAI's high-quality text-to-speech model, optimized for audio quality over speed, released at DevDay November 2023. Uses the same 6 preset voices as TTS-1 but produces noticeably better audio fidelity at twice the per-character cost. Accepts text up to 4,096 characters. Priced at $30.00/1M characters. API ID: tts-1-hd.

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GPT-4o Mini TTS is OpenAI's instructable text-to-speech model built on GPT-4o mini, released March 20, 2025. Supports natural language instructions to control tone, style, pacing, and emotion (instructable TTS) — the model follows conversational prompts to adjust delivery rather than relying on static voice presets. OpenAI's recommended cost-efficient TTS for production. Input: text tokens + instructions at $0.60/1M tokens. Output: audio tokens at $12.00/1M tokens. Accepts up to 2,000 input tokens. API ID: gpt-4o-mini-tts.

$0.600 in / - out / 1M tokens

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Eleven Flash v2.5 is ElevenLabs' ultra-low-latency TTS model for real-time applications and voice agents, released December 18, 2024. Achieves ~75ms latency with 32 languages (adds Hungarian, Norwegian, Vietnamese over Flash v2). Maximum input: 40,000 characters per request. Priced at $0.05/1K characters ($50/1M chars) — 50% cheaper than Multilingual v2. API ID: eleven_flash_v2_5.

$50.00 in / - out / 1M tokens

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StepAudio 2.5 Realtime is StepFun's end-to-end real-time conversational voice model. It handles speech input and produces speech output through a single unified architecture with no intermediate ASR/TTS pipeline steps. Key capabilities include persona-consistent roleplay via dedicated RLHF training on million-scale persona data, paralinguistic comprehension (detecting and responding to tone, emotion, and speaking rate), and low-latency dialogue. Supports Chinese and English. Available via WebSocket API (step-2.5-realtime). Analogous in function to OpenAI's GPT Realtime models.

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Scribe v2 Realtime is ElevenLabs' streaming speech-to-text model for voice agents, released November 2025. Delivers ~150ms latency with WebSocket streaming across 90+ languages. Supports Voice Activity Detection (VAD), manual commit control, and the same language coverage as Scribe v2. Priced at $0.39/hr of audio. API ID: scribe_v2_realtime.

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GPT-4o Mini Transcribe is OpenAI's cost-efficient speech-to-text model based on GPT-4o mini, released March 20, 2025. Offers substantially better accuracy than Whisper at roughly half the price of gpt-4o-transcribe. Supports batch, Realtime transcription, and Assistants endpoints. Input: $1.25/1M audio tokens. Output: $5.00/1M text tokens. Practical: ~$0.003/min. API ID: gpt-4o-mini-transcribe.

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Nova-2 is Deepgram's previous-generation flagship speech-to-text model, released September 2023. Delivers ~36% WER improvement over Whisper Large across tested domains (8.4% median WER), with improved entity recognition, punctuation, and capitalization. Supports 36+ languages and 10 domain-specific variants (general, meeting, phonecall, voicemail, finance, conversationalai, video, medical, drivethru, automotive). Batch: $0.0043/min; streaming: $0.0077/min. API ID: nova-2.

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GPT-4o Transcribe Diarize is OpenAI's automatic speech recognition model with integrated speaker diarization, released October 18, 2025. Identifies and labels who is speaking at each moment in multi-speaker audio, producing a diarized_json response with speaker labels and segment timestamps. Optionally accepts 2–10 second reference audio clips for up to 4 known speakers. Requires chunking for audio >30 seconds. Same pricing as gpt-4o-transcribe: $2.50/1M audio tokens in, $10.00/1M text tokens out. API ID: gpt-4o-transcribe-diarize.

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StepAudio 2.5 TTS is StepFun's contextual text-to-speech model with fine-grained expressive control. Unlike tag-based TTS systems, it accepts plain natural language instructions to control emotion, pacing, pauses, and delivery. Supports zero-shot voice cloning with full timbre and emotion control. Priced at $0.85 per 10,000 characters (input text). Supports Chinese and English. Available via StepFun API (model: step-audio-2.5-tts). Part of the unified StepAudio 2.5 architecture described in arXiv:2605.23463.

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Eleven v3 is ElevenLabs' most expressive text-to-speech model, generally available February 2, 2026 (API preview from June 8, 2025). Supports dramatic delivery, emotional nuance, multi-speaker dialogue, and 70+ languages. Maximum input: 5,000 characters per request. Preferred over Multilingual v2 with 72% preference rate in testing. Priced at $0.10/1K characters ($100/1M chars). API ID: eleven_v3.

$100.00 in / - out / 1M tokens

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Scribe v2 is ElevenLabs' current state-of-the-art batch speech-to-text model, released January 12, 2026. Improvements over v1 for long-form audio, extended silences, and tone changes. Supports 90+ languages, word-level timestamps, 32-speaker diarization, 56 entity types, and keyterm prompting (up to 1,000 terms). Base pricing: $0.22/hr; entity detection add-on: $0.07/hr; keyterm prompting add-on: $0.05/hr. API ID: scribe_v2.

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Qwen3 Omni 30B A3B is Alibaba's natively end-to-end omnimodal MoE model from the Qwen3 generation, capable of processing text, audio, images, and video while generating real-time streaming text and speech responses. Achieves SOTA on 22 of 36 audio/video benchmarks and open-source SOTA on 32 of 36. Available in Instruct and Thinking (reasoning) variants. Released September 22, 2025.

$0.250 in / $0.970 out / 1M tokens

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Aura-2 is Deepgram's enterprise-grade text-to-speech model, released April 2025. Delivers sub-200ms time-to-first-byte (TTFB) with domain-specific pronunciation for drug names, legal terms, alphanumeric identifiers, dates, and currency. Outperformed ElevenLabs, Cartesia, OpenAI, Azure, Google, and PlayHT in enterprise voice preference testing. Offers 43+ English voices and multilingual support (Spanish, Dutch, French, German, Italian, Japanese). Priced at $0.030/1K characters ($30/1M chars). Available as cloud, VPC, and on-premises. API ID format: aura-2-[voice]-[lang] (e.g. aura-2-thalia-en).

$30.00 in / - out / 1M tokens

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GPT-4o Transcribe is OpenAI's flagship speech-to-text model based on GPT-4o, released March 20, 2025. Delivers substantially better word error rates than Whisper — especially for accented speech, background noise, and variable speaking rates. Supports batch, streaming (Realtime API), and Assistants endpoints. Input: $2.50/1M audio tokens. Output: $10.00/1M text tokens. Practical: ~$0.006/min. API ID: gpt-4o-transcribe.

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Nova-3 is Deepgram's current-generation speech-to-text model, released February 12, 2025. Achieves 6.84% median WER streaming and 5.26% batch — a ~54% improvement over competitors. Supports real-time multilingual transcription across 31 languages with self-serve keyterm prompting (up to 100 terms) and real-time redaction (up to 50 entity types). Also includes nova-3-medical specialization. Streaming: $0.0048/min (mono), $0.0058/min (multilingual); pre-recorded: $0.0077/min (mono). API ID: nova-3.

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Instruction-tuned version of Gemma 4 12B. Open weight (Apache 2.0), 12B parameters, encoder-free multimodal (text, image, audio). Optimized for chat and instruction-following. Runs on a 16GB laptop.

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Google DeepMind's 12B open-weight multimodal model (Apache 2.0), designed to run on a 16GB laptop. First medium-sized model with native audio ingestion alongside text and image. Unified encoder-free decoder-only architecture. Supports 140+ languages. MMLU Pro: 77.2%.

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Flux is Deepgram's conversational automatic speech recognition (CSR) model, released October 15, 2025. Built specifically for voice agents: integrates turn detection natively into the ASR model, eliminating the need for a separate VAD/endpointing layer. Achieves end-of-turn detection within 1.5s (p95) and reduces interruptions ~30% and latency 200–600ms versus traditional pipelines. Emits voice-agent events: StartOfTurn, EndOfTurn, EagerEndOfTurn, TurnResumed. English: $0.0065/min; Multilingual (10 languages, GA April 2026): $0.0078/min. API ID: flux-general-en / flux-general-multi.

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Cohere's state-of-the-art automatic speech recognition (ASR) model. Transcribe is a 2B parameter Conformer-based encoder-decoder model trained from scratch for high-fidelity transcription across 14 languages: English, French, German, Italian, Spanish, Portuguese, Greek, Dutch, Polish, Chinese (Mandarin), Japanese, Korean, Vietnamese, and Arabic. Can process 525 minutes of audio per minute. Achieves 5.42 WER on Hugging Face Open ASR leaderboard.

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Inkling is Thinking Machines Lab's Apache-2.0 open-weight general-purpose multimodal model. It accepts text, image, and audio inputs and generates text with a 1M-token context window. Compare it for Coding, RAG, Agents, Long context, Vision, and JSON / Tool use.

$1.00 in / $4.05 out / 1M tokens

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Lyria 3 Clip is Google DeepMind's Lyria model focused on audio understanding and generation. It was released 2025-01-01.

Free in / Free out / 1M tokens

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Lyria 3 Pro is Google DeepMind's Lyria model focused on audio understanding and generation. It was released 2025-01-01.

Free in / Free out / 1M tokens

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Gemini 3.8 Flash is Google DeepMind's generally available most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows, released September 2, 2026. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for thinking (low/medium/high; minimal is not supported), function calling, tool use, structured outputs, code execution, prompt caching, search grounding, URL context, computer use (preview), and batch, flex, and priority consumption. Official model ID: gemini-3.8-flash. Sibling of live gemini-3.7-flash under a new family gemini-3.8. Compare it for Coding, Agents, Long context, Vision, and JSON / Tool use.

$0.750 in / $3.75 out / 1M tokens

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Gemini 3.5 Transcribe is Google DeepMind's speech-to-text model for audio files. Use gemini-3.5-transcribe for pre-recorded recordings when speaker diarization and word-level timestamps matter; use its documented gemini-3.5-transcribe-live access endpoint through the Live API for continuous, bidirectional streaming transcription. The model accepts audio and text within a 96K-token context and returns text with up to 32K output tokens.

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Gemini 3.7 Flash is Google DeepMind's generally available multimodal workhorse model for coding and agents, released August 13, 2026. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for thinking (low/medium/high; minimal is not supported), function calling, tool use, structured outputs, code execution, prompt caching, and batch processing. Official model ID: gemini-3.7-flash. Compare it for Coding, Agents, Long context, Vision, and JSON / Tool use.

$0.750 in / $3.75 out / 1M tokens

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Gemini 3.5 Flash-Lite is Google DeepMind's generally available multimodal model in the Gemini 3.5 family. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for code execution, prompt caching, and batch processing. Compare it for Coding, Agents, Long context, Vision, and JSON / Tool use. In Google AI Studio, select Gemini 3.5 Flash-Lite when lower token cost and high throughput are the priority; select Gemini 3.6 Flash when higher capability matters more.

$0.300 in / $2.50 out / 1M tokens

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Gemini 3.6 Flash is Google DeepMind's generally available multimodal model. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for code execution, prompt caching, and batch processing. Compare it for Coding, Agents, Long context, Vision, and JSON / Tool use. In Google AI Studio, select Gemini 3.6 Flash when higher capability is the priority; select Gemini 3.5 Flash-Lite when lower token cost and high throughput matter more.

$0.750 in / $3.75 out / 1M tokens

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Grok Imagine Video 1.5 Preview is the stable LLMReference route for xAI's image-to-video model. The canonical API model ID is grok-imagine-video-1.5; xAI documents grok-imagine-video-1.5-preview and grok-imagine-video-1.5-2026-05-30 as active aliases. The API charges $0.01 per image input and $0.08/second (480p), $0.14/second (720p), or $0.25/second (1080p) for video output.

Pricing not tracked / 1M tokens

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Mistral Voxtral Small 24B 2507 is MistralAI's Voxtral model. It was released 2025-07-01.

$0.100 in / $0.300 out / 1M tokens

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Qwen3.8-LiveTranslate is Alibaba Qwen's next-generation real-time simultaneous interpretation model, announced via @Alibaba_Qwen on 2026-09-19 (tip links blog id qwen3.8-livetranslate and QwenCloud). Tip: Interleave architecture; improves faithfulness/fluency/conciseness; reduces average lagging (LAAL) from 2.8s to 2.3s across 60 languages; real-time speaker diarization with more stable voice cloning; synchronized bilingual display; long-context disambiguation via conversation history. First-party QwenCloud card Qwen3.8-LiveTranslate-Flash-Realtime (API id qwen3.8-livetranslate-flash-realtime): real-time version of Qwen3.8-LiveTranslate-Flash; multilingual simultaneous audio and video interpretation; understand 60 languages / speak 29; WebSocket realtime endpoint wss://maas.qwencloudapi.com/api-ws/v1/realtime?model=qwen3.8-livetranslate-flash-realtime. QwenCloud limits: Max Input 49K / Max Output 4K / Context 53K; TPM 100K; RPM 10. International pricing (Per 1M tokens): Input Audio $7.5; Input Image $0.55; Output Text $20; Output Audio $30. No public HF weights. Proprietary hosted. Distinct from live qwen3.8-omni-flash. Compare it for Audio, Multimodal, and realtime translation.

$7.50 in / $20.00 out / 1M tokens

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Grok Voice Transcribe 2.0 (API id grok-voice-transcribe-2.0) is xAI's latest speech-to-text / ASR model, announced September 18, 2026 on x.ai/news. Specialized transcription API, not a chat LLM. First-party: twice as accurate as Grok Voice Transcribe 1.0 at the same price; ranks first for accuracy among 32 streaming models on the public Artificial Analysis leaderboard (first-party ranking claim); multilingual (dozens of languages, auto language detect, mid-recording language switch); batch and streaming STT; word-level timestamps with confidence; speaker diarization at no extra cost; multichannel up to 8 channels; key-term biasing (up to 100 terms); text formatting for numbers/dates/currencies/phones/emails. Default model when model is omitted on the Speech-to-Text API; pin grok-voice-transcribe-1.0 to stay on the prior version during deprecation. Pricing identical to 1.0: batch $0.10/hour of audio, streaming $0.20/hour (diarization/timestamps/key terms included). Hosted on xAI API (POST /v1/stt and streaming WebSocket). No first-party downloadable weights. Distinct from live grok-voice-think-fast-1.0. Compare it for Speech recognition.

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Qwen3.8-Omni-Flash is Alibaba Qwen's first omni-modal model built around agentic capabilities, announced 2026-09-18 (MCP-verified @Alibaba_Qwen tip 2100785962414702599 + first-party QwenCloud / Model Studio Qwen-Omni docs). Native text, image, audio, and video input with text-only output (do not set audio modalities). 1M-token context; QwenCloud lists max input 991K / max output 131K (thinking: max input 983K / max output 131K / max reasoning 262K). Tip + QwenCloud: audio-video understanding with reasoning and tool use for agentic workflows (vlog auto-edit, short-video translate, movie recaps); two-/four-channel spatial audio; DashScope + OpenAI-compatible protocols; companion open-source Qwen-MM-Plugins (Qwen-Live Harness coming soon). Tip comparative claims only (approaching Gemini 3.8 Flash A/V; +19.5 avg agent pts on WildClawBench-MM & UniClawBench; 51.8% fewer tokens on OmniVideoBench; ~89% lower video input cost vs Qwen3.5-Omni-Plus) — no absolute named-bench scores seeded. API model id qwen3.8-omni-flash. No public HF weights found this pass (HF search empty for Qwen3.8-Omni-Flash). Proprietary hosted. INSERT under live family qwen3.8 (ATTACH). Compare it for Multimodal / Agents / Long context / Audio / Video.

$0.150 in / $0.470 out / 1M tokens

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Gemini 3.8 Live (API model code gemini-3.8-live) is Google DeepMind's low-latency native speech-to-speech / Live API model for real-time voice agents and dialogue, announced September 15, 2026 (blog publish ~17:00 UTC). First-party AI.dev model page: inputs text/images/audio/video; outputs text and audio; input limit 131,072 tokens; output limit 65,536; Live API supported; function calling supported; interleaved reasoning (Thinking) supported; search grounding supported; structured outputs / caching / code execution / batch not supported. Stable id gemini-3.8-live. DeepMind model card Gemini 3.8 Audio (Live, Live Extended Thinking) dated 15 September 2026; based on Gemini 3 Pro; 128K context described on card; 97 languages on product blog. Pricing (Gemini Developer API paid tier, shared with Extended Thinking): text input $0.75/1M; audio input $3.00/1M or $0.005/min; text output $4.50/1M (incl. thinking); audio output $12.00/1M or $0.018/min. ATTACH under existing live family gemini-3.8 (do not create a new family; do not overwrite gemini-3.8-flash / gemini-3.8-flash-cyber). Distinct from gemini-3.1-flash-live-preview and Gemini 3.5 Transcribe (already live). Compare it for Audio, Agents, and Multimodal.

$0.750 in / $4.50 out / 1M tokens

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Gemini 3.8 Live Extended Thinking (API model code gemini-3.8-live-extended-thinking) is Google DeepMind's high-reasoning Live API audio-to-audio model for complex multi-step voice interactions, announced with Gemini 3.8 Live on September 15, 2026 (~17:00 UTC). First-party AI.dev: inputs text/images/audio/video; outputs text and audio; 131,072 input / 65,536 output tokens; Live API supported; Thinking supported; function calling async-only; search grounding supported; structured outputs / caching / code execution / batch not supported. Product blog positions it for deeper background reasoning while streaming continuous audio; ranks #1 on Artificial Analysis Speech-to-Speech leaderboard per Google blog claim. Shared DeepMind Gemini 3.8 Audio model card (15 Sep 2026). Same Gemini Developer API paid pricing schedule as gemini-3.8-live: text $0.75/$4.50 per 1M; audio $3.00/$12.00 per 1M or $0.005/$0.018 per minute. ATTACH under existing live family gemini-3.8. Compare it for Audio, Agents, Reasoning, and Multimodal.

$0.750 in / $4.50 out / 1M tokens

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Lyria 3.5 Clip Preview is Google DeepMind's public-preview 30-second music generation model, released in the Gemini API on September 3, 2026. Official model ID lyria-3.5-clip-preview. It accepts text and image input and returns 44.1 kHz stereo audio (MP3) plus lyrics text, with a 131,072-token input limit. First-party positions Clip for short clips, loops, and rapid experimentation. Paid Gemini Developer API list price is $0.04 per song; Free Tier is not available. Preview models may change before becoming stable and have more restrictive rate limits. Caching, function calling, thinking, structured outputs, Live API, Batch, Flex, and Priority are not supported. Sibling of live lyria-3-clip-preview under existing family lyria. Compare it for Audio.

Pricing not tracked / 1M tokens

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Lyria 3.5 Pro Preview is Google DeepMind's public-preview full-song music generation model, released in the Gemini API on September 3, 2026. Official model ID lyria-3.5-pro-preview. It accepts text and image input and returns 44.1 kHz stereo audio (MP3) plus lyrics text, with a 131,072-token input limit. First-party positions Pro for full-length songs with verses, choruses, and bridges (DeepMind hub: up to 3 minutes; prompt-controllable duration). Paid Gemini Developer API list price is $0.08 per song; Free Tier is not available. Preview models may change before becoming stable and have more restrictive rate limits. Caching, function calling, thinking, structured outputs, Live API, Batch, Flex, and Priority are not supported. Sibling of live lyria-3-pro-preview under existing family lyria. Compare it for Audio.

Pricing not tracked / 1M tokens

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MAI-Transcribe-2 (Azure Speech enhancedMode.model id MAI-Transcribe-2) is Microsoft AI's third-generation speech-to-text / ASR model, announced September 3, 2026. Specialized transcription API, not a chat LLM. First-party: 60 languages; speaker diarization; word-level timestamps; keyword biasing; verbatim/clean transcription styles; code switching; automatic language identification; noise-robust real-world audio. Microsoft reports first place on FLEURS across 60 languages at 5.2% average WER, Artificial Analysis accuracy-latency Pareto leadership, and second place on the Artificial Analysis WER leaderboard. Available to demo via Microsoft Foundry, MAI Playground, and Open Router; Azure Speech docs mark MAI-Transcribe as public preview. Compare it for Speech recognition.

Pricing not tracked / 1M tokens

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Gemini Omni 1.1 Flash is Google DeepMind's generally available video generation and editing model, released August 27, 2026. It provides fast conversational video generation and editing through the Gemini API and Interactions API, with scene extension, interpolation, resolution upscaling, and support for video references. It accepts text, image, and video input and outputs video with native audio at 360p, 720p, 1080p, or 4K (3s–10s at 24 FPS). Official model ID: gemini-omni-1.1-flash. Compare it for Video generation.

$1.50 in / $17.50 out / 1M tokens

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Sonic 3.6 is Cartesia's proprietary text-to-speech model on the Cartesia API. It is a one-way audio-output (TTS) model; weights are not publicly released.

Pricing not tracked / 1M tokens

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Ink 2 is Cartesia's proprietary speech-to-text model on the Cartesia API. It is a one-way audio-input (STT) model; weights are not publicly released.

Pricing not tracked / 1M tokens

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GPT-Live 1 is a full-duplex voice model for real-time conversations. It can listen and speak at the same time, and delegate reasoning and tool use to a backend agent. API access became generally available September 10, 2026.

Pricing not tracked / 1M tokens

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Higgs Audio v3 TTS is Boson AI's 4B-parameter text-to-speech model released June 4, 2026. It supports 102 languages (85 at production quality with WER/CER <5%), zero-shot voice cloning, and inline control tokens for emotion (21 types), style (singing/shouting/whispering), sound effects, and prosody. Audio output is 24kHz MP3 or PCM. Open weights available under a non-commercial license; hosted API is in free public preview.

Pricing not tracked / 1M tokens

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GPT Realtime 2 is OpenAI's second-generation real-time voice model, released May 7, 2026. It is a GPT-5-class speech-to-speech model for voice agents with five reasoning intensity levels, parallel tool calls, spoken preambles, and recovery behavior on failed tasks. The model supports audio and text interaction through the Realtime API with a 128K token context window. Audio token pricing is $32 per 1M input tokens, $0.40 per 1M cached input tokens, and $64 per 1M output tokens.

$32.00 in / $64.00 out / 1M tokens

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GPT Realtime Translate is OpenAI's live speech-to-speech translation model, released May 7, 2026. It translates spoken input from 70+ languages into 13 output languages in real time without requiring speakers to pause or complete full sentences. The model is exposed through the /v1/realtime/translations endpoint and is priced per minute at $0.034 rather than per token.

Pricing not tracked / 1M tokens

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GPT Realtime Whisper is OpenAI's streaming speech-to-text model, released May 7, 2026. It transcribes spoken audio live as a speaker talks rather than waiting for utterance completion, making it suitable for live captions, meeting notes, classroom transcripts, and real-time agent pipelines. The model is exposed through /v1/realtime/transcription_sessions and is priced per minute at $0.017 rather than per token.

Pricing not tracked / 1M tokens

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NVIDIA Nemotron 3 Nano Omni is an open-weight 30B hybrid MoE multimodal model (3B active parameters) that natively accepts text, image, video, and audio inputs in a single inference loop. Built on a hybrid Mamba-Transformer architecture with 23 Mamba-2 layers, 23 MoE layers (128 experts, 6+1 active), and 6 GQA layers, plus Conv3D video layers and Efficient Video Sampling (EVS). Delivers up to 9x higher throughput than comparable omni models. Supports a 256K context window and a 16,384 reasoning budget. Open weights, datasets, and training recipes released under a permissive license.

Free in / Free out / 1M tokens

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Xiaomi's MiMo home page lists Xiaomi MiMo-V2.5-TTS-Series as part of the V2.5 series brand-new release, with Token Plan availability, high-quality TTS voices, style-instruction following, voice design, and voice cloning. Precise parameter count, context/window limits, and per-token or per-character pricing were not disclosed in the accessible official page, so those fields are left null rather than inferred.

Pricing not tracked / 1M tokens

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Maximum-comprehensiveness version of Google's Deep Research agent, built on Gemini 3.1 Pro and released April 21, 2026. Spends more compute than the standard preview to consult more sources, refine reports, and capture nuanced details. Designed for accuracy-critical long-form investigations synthesizing information from hundreds of sources. Supports MCP servers, File Search, and multi-step planning. Context: 1M tokens; max output: 65,536 tokens. Runs at Gemini 3.1 Pro rates ($2.00/$12.00 per MTok). API ID: deep-research-max-preview-04-2026.

$2.00 in / $12.00 out / 1M tokens

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Google's agentic deep research model built on Gemini 3.1 Pro, released April 21, 2026. Designed for speed and efficiency in autonomous multi-step research: ingests text, images, PDFs, audio, and video to produce comprehensive cited reports from public web sources and private workspace data. Supports collaborative planning, visualization, MCP servers, and File Search. Context window: 1M tokens; max output: 65,536 tokens. Runs at Gemini 3.1 Pro rates ($2.00/$12.00 per MTok). API ID: deep-research-preview-04-2026.

$2.00 in / $12.00 out / 1M tokens

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Google's cost-efficient expressive text-to-speech model, released April 15, 2026. Supports 70+ languages, native multi-speaker dialogue, and 200+ audio style tags for precise delivery control. SynthID watermarking included. Achieves Elo 1,211 on the Artificial Analysis TTS leaderboard. Priced at $1.00/M input tokens and $20.00/M audio output tokens. API ID: gemini-3.1-flash-tts-preview.

$1.00 in / - out / 1M tokens

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MOSS-Audio 4B Instruct is the instruction-following 4.6B variant of MOSI AI and OpenMOSS Team's open-weight audio understanding model. It combines a MOSS-Audio encoder with a Qwen3-4B language backbone for speech, environmental sound, music, captioning, time-aware question answering, timestamped ASR, and audio-grounded reasoning.

Pricing not tracked / 1M tokens

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MOSS-Audio 4B Thinking is the reasoning-tuned 4.6B variant of MOSI AI and OpenMOSS Team's open-weight audio understanding model. It uses the MOSS-Audio encoder and Qwen3-4B backbone, adding chain-of-thought-oriented post-training for stronger complex audio reasoning while retaining speech, sound, music, timestamp, captioning, and QA coverage.

Pricing not tracked / 1M tokens

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MOSS-Audio 8B Instruct is the instruction-following 8.6B variant of MOSI AI and OpenMOSS Team's open-weight audio understanding model. It pairs the MOSS-Audio encoder with a Qwen3-8B language backbone and is positioned for stronger open-source speech, sound, music, audio captioning, ASR, timestamp, and QA workloads.

Pricing not tracked / 1M tokens

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MOSS-Audio 8B Thinking is the reasoning-tuned 8.6B variant of MOSI AI and OpenMOSS Team's open-weight audio understanding model. It uses the MOSS-Audio encoder and Qwen3-8B backbone, with Thinking post-training for complex audio reasoning over speech, environmental sound, music, timestamps, captions, and question answering.

Pricing not tracked / 1M tokens

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Microsoft AI speech-to-text model supporting top 25 languages. 2.5x faster batch transcription than Azure Fast. Optimized for real-world noisy environments.

$0.360 in / - out / 1M tokens

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Microsoft AI voice generation with emotional nuance and speaker identity preservation. Generates 60 seconds of audio in 1 second. Supports custom voice creation from brief audio samples.

$22.00 in / - out / 1M tokens

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