LiveBench Overall ↗2.0 · 2026-10-14 (dataset 2026-09-02)
68.79%Effort: max · single run · equal mean of 7 suites
qwenListed Aug 26, 2026
Qwen: Qwen3.8 Flash
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Context window1M
Max output131.1K
Provider endpoints3
Benchmark results8
Measured performance
All leaderboards ↗Benchmark results
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)
72.8%Effort: max · single run
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)
74.6%Effort: max · single run
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)
48%Effort: max · single run
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)
87.4%Effort: max · single run
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)
37.1%Effort: max · single run
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)
74.2%Effort: max · single run
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)
87.4%Effort: max · single run
Access & cost
3 quotesPrices across providers
Your token mix
USD · listed token ratesOpenRouter
Catalog quote- Input
- $0.15
- Output
- $0.47
- Cached input
- $0.016
- Input
- $0.15
- Output
- $0.47
- Cached input
- $0.016
Max prompt 983616 tokens
- Input
- $0.15
- Output
- $0.47
- Cached input
- $0.016
Max prompt 983616 tokens · Cache write $0.2/M tokens
Model specifications
- Developer
- qwen
- Modality
- Language
- Context
- 1,000,000 tokens
- Maximum output
- 131,072 tokens
- Weights
- Open weights
- Provider listed
- Aug 26, 2026
- First discovered
- Oct 16, 2026
Exact identities
- openrouter
qwen/qwen3.8-flash - livebench
qwen3.8-flash
Sources
Updated Oct 18, 2026
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