Qwen3.8 Omni Flash
Description
Qwen3.8-Omni-Flash is Alibaba/Qwen's native omnimodal API model (id qwen3.8-omni-flash) for agentic audio-visual task execution. Inputs: text, image, audio, and video; output: text. Supports a 1M-token context window, reasoning_effort (xhigh/medium/low), and OpenAI-compatible Chat Completions / Responses APIs on QwenCloud (DashScope). Released 2026-09-18 as API-only (no open weights on this card). Vendor paper/blog highlights include WildClawBench-MM 71.0, UniClawBench 69.6, LongAudioSpan Accuracy 82.7, OmniVideoBench 63.4 static / 67.8 agentic (Qwen Code), MMAU 81.8, MMAR 79.8, MMSU 82.1, VoiceBench 91.6, OmniGAIA 74.0, DailyOmni 85.1. Catalog rows are limited to existing benchmark ids; UniClawBench, LongAudioSpan, OmniVideoBench, MMAR, and MMSU have no catalog ids yet and are noted here only. No first-party provider price row in this repo — available_in_zeroeval is false.
Capability Radar
Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 14 | 65.0 | LS |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
Audio
Chat
Video
AA Evaluation Indices
(Artificial Analysis)No AA evaluation data available
LLM Stats Category Scores
(LLM Stats (zeroeval))Pricing
Speed
No speed data available
Provider Price Ranking
Provider Price Ranking
9 providers
Compare pricing across different API providers for this model.