LLM Reference

GPT Realtime 2

Released
2026-05-07
Last refreshed
2026-05-16
Status
Researched 41d ago
ProprietaryCommercial use: conditionalMultimodalRAGAgentsLong contextVisionJSON / Tool use

GPT Realtime 2 is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 131k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Released
2026-05-07
Context
131k
Architecture
Decoder Only
Knowledge cutoff
2024-09
Specialization
realtime-voice
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Training
Pretrained
Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website
Pricing
Output / 1M
$64.00
Input / 1M
$32.00

Cheapest of 1 route · OpenAI API · cache read $0.400

About

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.

GPT Realtime 2 is a proprietary model. The structured metadata tracks a 131k-token context window, multimodal input, audio, reasoning, function calling, and tool use. This page tracks provider routes through OpenAI API, with the cheapest tracked route listed at $32 input and $64 output per 1M tokens. Headline tracked benchmarks include Big Bench Audio 96.6.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
OpenAI API$32.00$64.00read $0.400
Serverless

Available via routers & gateways(15)

Capabilities

MultimodalReasoningFunction CallingTool UsePrompt CachingAudio

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
Big Bench Audio96.6highhttps://artificialanalysis.ai/speech-to-speech

Migration checks

No linked migration route is available for this model yet.

API versions

gpt-realtime-2