Qwen 3.8 Omni Flash
QwenBalanced
ThinkingTool UseVisionStructured Output
About this model
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
Performance Tier
Balanced
Qwen 3.8 Omni Flash is a balanced model from Qwen : strong performance at a reasonable price.
Strong cost-performance ratio. Reliable for most professional use cases without premium pricing.
Pricing
This model is included in Elosia plansEco
Minimal cost. Ideal for very high volume or simple tasks.
| Type | per 1M tokens |
|---|---|
| Input (prompt) | $0.150 |
| Output (completion) | $0.470 |
| Cache read | $0.016 |
Capabilities
Context Length1.0M
Max Output Tokens131K
TokenizerQwen
Inputtext, image, audio, video
Outputtext
Release DateSeptember 21, 2026
Benchmarks
General Intelligence
MMLU
Not reported
GPQA Diamond
91%
Mathematics
MATH-500
Not reported
Programming
HumanEval
Not reported
LiveCodeBench
92.6%
Agentic
SWE-bench Pro
63.3%
Where does Qwen 3.8 Omni Flash stand?
Compare its performance index against every other model.
Recommended Use Cases
AnalysisSummarizationData ExtractionTranslationGeneral Chat
Strengths
- Native omni-modal input: text, images, audio and video in a single model, with a 1M-token context window
- Built around agentic workflows on audio and video, with tool calling during analysis, editing and summarization tasks
- Handles long media, with audio files up to three hours and video up to two hours
- Multi-speaker meeting transcription with speaker diarization, and two- and four-channel spatial audio understanding
- Speech recognition across 74 languages and 39 Chinese dialects
Limitations
- Text output only: no speech generation from this model
- Parameter count and architecture are not disclosed, and the weights are closed
- Video is sampled at up to 15 frames per second, which limits fine analysis of fast motion
Frequently asked questions
Resources
This model may use your data for training
