LLM Reference

Qwen3 Omni Models by Alibaba

1 model2025Up to 66K ctxFrom $0.25/1M input

About

Qwen3 Omni is Alibaba's natively end-to-end omnimodal model family from the Qwen3 generation. Models process text, audio, images, and video while generating real-time streaming text and speech responses. Achieves SOTA on 22 of 36 audio/video benchmarks.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

1 in view

Use when the workload needs 66K context, reasoning, and tool use.

2025-0966K contextreasoningtool use

Release Timeline

1 release group
2025-09
1 current
Qwen3 Omni 30B A3B
66K contextreasoningtool use
Current

Specifications(1 models)

Qwen3 Omni model specifications comparison
ModelReleasedContextParametersVisionMultimodalReasoningFn CallingTool UseStructured Outputs
Qwen3 Omni 30B A3B2025-0966K30B total / 3B activeYesYesYesYesYesYes

Available From(1 provider)

Pricing

Qwen3 Omni model pricing by provider
ModelProviderInput / 1MOutput / 1MType
Qwen3 Omni 30B A3BNovita AI$0.25$0.97Serverless
Qwen3 Omni 30B A3BNovita AI$0.25$0.97Serverless

Frequently Asked Questions

What is Qwen3 Omni used for?
Qwen3 Omni is used for vision and multimodal work, reasoning, and agent workflows and tool use. The family description and listed model capabilities point to those workloads as the best fit.
How does Qwen3 Omni compare to Tongyi DeepResearch?
Qwen3 Omni by Alibaba is strongest where you need vision and multimodal work, while Tongyi DeepResearch by Alibaba is the closest related family to check for adjacent model selection. Qwen3 Omni has 1 listed variant and reaches up to 66K context, while Tongyi DeepResearch reaches up to 131K context, so compare the specs and pricing tables before choosing a production model.
Which Qwen3 Omni model should I use?
For the lowest listed input price, start with Qwen3 Omni 30B A3B through Novita AI at $0.25/1M input tokens. For the most capable/latest local choice, evaluate Qwen3 Omni 30B A3B with 66K context and reasoning, tool use, function calling, structured outputs, and multimodal inputs.

Models(1)