Qwen3.8-Flash-Next: benchmarks, price and rank
Qwen3.8-Flash-Next from Alibaba is 36th of 123 rated AI models on Spezia's leaderboard, strongest on LiveCodeBench v6 and CharXiv Reasoning.
- 36th of 123 rated models
- Rating 1,438
- First on 1 of 7 benchmarks
- Open weights
- Released Aug 26, 2026
Where it is strongest
- 1st of 43 on LiveCodeBench v6
- 3rd of 45 on CharXiv Reasoning
- 2nd of 21 on ERQA
- 4th of 37 on Toolathlon
Where it falls behind
- 24th of 27 on DeepSWE 1.1
Its headline results
The benchmarks that count most in the rating, with its place among the models measured the same way, and where each number came from.
- SWE-Bench Pro62.5%
Long changes to real codebases in several languages, often across many files, including code from private and copyleft projects that models are unlikely to have seen.
14th of 50. The maker's own number, from Alibaba Cloud / Qwen Team, via LLM Stats.
- Humanity's Last Exam35.9%
About 2,500 questions written by experts in more than a hundred fields to be as hard as they could make them, many needing a diagram or image.
35th of 74. The maker's own number, from Alibaba Cloud / Qwen Team, via LLM Stats.
- Toolathlon73.5%
Long tasks across many real apps and their tools, such as email, calendars, spreadsheets, code repositories and online stores.
4th of 37. The maker's own number, from Alibaba Cloud / Qwen Team, via LLM Stats.
- DeepSWE 1.158.7%
Software engineering tasks run in the same simple agent setup for every model.
24th of 27. The maker's own number, from Alibaba Cloud / Qwen Team, via LLM Stats.
- LiveCodeBench v691.9%
Programming contest problems collected after models were trained, from LeetCode, AtCoder and Codeforces.
1st of 43. The maker's own number, from Alibaba Cloud / Qwen Team, via LLM Stats.
- CharXiv Reasoning90.6%
Questions about real charts from scientific papers that need reasoning across the chart, not just reading off a value.
3rd of 45. The maker's own number, from Alibaba Cloud / Qwen Team, via LLM Stats.
- LMArena WebDev1,624
People ask two anonymous models to build the same web page or app and vote for the better one.
21st of 98. Independent result from LMArena.
- ERQA72.3%
400 questions about images of the physical world: space, motion, actions, the state of objects and views from several cameras.
2nd of 21. The maker's own number, from Alibaba Cloud / Qwen Team, via LLM Stats.
- GPQA Diamond91.7%
Graduate-level questions in biology, physics and chemistry, written by PhDs so that searching the web does not give the answer away.
The maker's own number, from Alibaba Cloud / Qwen Team, via LLM Stats.
Its full profile is in Spezia.
Every result with its source, what it costs per task, what jumped with its release, side by side with any other model, and answers to your questions about when to use it.
Models ranked near it
How the rating works, and every benchmark it uses: the model leaderboard.