Qwen3.8-Omni-Flash

Released
2026-09-18
Last refreshed
2026-10-09
Status
Researched 45d ago
ProprietaryCommercial use: restrictedMultimodalCodingRAGAgentsLong contextVisionJSON / Tool useMultimodalAgents
Alibaba releases · 53 in the last 12 months · this family litChangelog →
Specifications
Family
Qwen3.8
Released
2026-09-18
Context
1M
Max output
128K
Specialization
general
Openness
Proprietary
License
ProprietaryRestricted
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$0.470
Input / 1M
$0.150

Cheapest of 2 routes · Alibaba Cloud PAI-EAS · cache read $0.016

About

Qwen3.8-Omni-Flash is Qwen's hosted omni-modal model for agentic work, accepting text, image, audio, and video input and returning text only, with a context of up to 1M tokens (991K max input, 131K max output). It handles mixed audio-video workflows such as video editing, narration, and multimedia summarization, understands two- and four-channel spatial audio, and is served through QwenCloud with DashScope- and OpenAI-compatible APIs under the model id `qwen3.8-omni-flash`.

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

Coding

Q/$ B

Providers(2)

Compare all 2

Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Alibaba Cloud PAI-EAS$0.150$0.470read $0.016
Serverless
OpenRouter$0.150$0.470read $0.016
Serverless

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt CachingAudio

Benchmark peer barsfor Coding

Benchmark scores(7)

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.
BenchmarkScoreVersionEvaluationSource
63.3SWE-bench Pro (Qwen-refined task set)Observed 2026-10-26
Configuration: Qwen3.8-Omni-Flash
Harness: Claude Code (temperature 1.0, top_p 0.95, 256K context)
Evaluator: Qwen (Alibaba)
Confidence: self-reported
Notes: Qwen Team tech report 'Qwen3.8-Omni: Towards Native Omni-Modal Agents' (arXiv 2609.25611v1, 2026-09-22), Table 2 column 'Qwen3.8-Omni-Flash', row 'SWE-bench Pro': 63.3. Footnote 2: problematic tasks corrected and models re-evaluated on the refined benchmark (comparability caveat). Retrieved 2026-10-26.
80.5SWE-bench MultilingualObserved 2026-10-26
Configuration: Qwen3.8-Omni-Flash
Harness: mini-SWE-agent (temperature 1.0, top_p 0.95, 256K context)
Evaluator: Qwen (Alibaba)
Confidence: self-reported
Notes: Qwen Team tech report 'Qwen3.8-Omni: Towards Native Omni-Modal Agents' (arXiv 2609.25611v1, 2026-09-22), Table 2 column 'Qwen3.8-Omni-Flash', row 'SWE-bench Multilingual': 80.5. Retrieved 2026-10-26.
48.9NL2Repo-BenchObserved 2026-10-26
Configuration: Qwen3.8-Omni-Flash
Harness: Claude Code (repo-fetching Bash commands disabled)
Evaluator: Qwen (Alibaba)
Confidence: self-reported
Notes: Qwen Team tech report 'Qwen3.8-Omni: Towards Native Omni-Modal Agents' (arXiv 2609.25611v1, 2026-09-22), Table 2 column 'Qwen3.8-Omni-Flash', row 'NL2Repo-Bench': 48.9. Footnote 4: Bash commands that fetch the target repository disabled to prevent reward hacking. Retrieved 2026-10-26.
91.0GPQA DiamondObserved 2026-10-26
Configuration: Qwen3.8-Omni-Flash
Evaluator: Qwen (Alibaba)
Confidence: self-reported
Notes: Qwen Team tech report 'Qwen3.8-Omni: Towards Native Omni-Modal Agents' (arXiv 2609.25611v1, 2026-09-22), Table 2 column 'Qwen3.8-Omni-Flash', row 'GPQA Diamond': 91.0. Retrieved 2026-10-26.
36.5HLE (tool setting not stated; GPT-4o judge)Observed 2026-10-26
Configuration: tool setting not stated; GPT-4o judge
Evaluator: Qwen (Alibaba)
Confidence: self-reported
Notes: Qwen Team tech report 'Qwen3.8-Omni: Towards Native Omni-Modal Agents' (arXiv 2609.25611v1, 2026-09-22), Table 2 column 'Qwen3.8-Omni-Flash', row 'HLE': 36.5. Tool setting not stated, so filed under generic hle. Retrieved 2026-10-26.
92.6LiveCodeBench v6Observed 2026-10-26
Configuration: Qwen3.8-Omni-Flash
Evaluator: Qwen (Alibaba)
Confidence: self-reported
Notes: Qwen Team tech report 'Qwen3.8-Omni: Towards Native Omni-Modal Agents' (arXiv 2609.25611v1, 2026-09-22), Table 2 column 'Qwen3.8-Omni-Flash', row 'LiveCodeBench v6': 92.6. Retrieved 2026-10-26.
83.5CharXiv RQ (reasoning), without code interpreterObserved 2026-10-26
Configuration: Qwen3.8-Omni-Flash
Harness: Static eval, no code interpreter
Evaluator: Qwen (Alibaba)
Confidence: self-reported
Notes: Qwen Team tech report 'Qwen3.8-Omni: Towards Native Omni-Modal Agents' (arXiv 2609.25611v1, 2026-09-22), Table 3 column 'Qwen3.8-Omni-Flash', row 'CharXiv (RQ)' without CI: 83.5 (w/ CI row not packed). Fixed step-by-step \boxed{} prompt for Qwen models (footnote 3). Retrieved 2026-10-26.

Migration checks

No linked migration route is available for this model yet.

API versions

qwen3.8-omni-flashQwen3.8-Omni-Flash

Rankings & picks(1)