Benchmarks1w ago
Qwen3-235B-A22B - LiveCodeBench
LiveCodeBench pass@1 80.4 across 1055 tasks
View sourceQwen
qwen3-235b-a22b-instruct-2507 is a open-weight Qwen llm model with a 262,144 token context window.
Running this yourself: likely needs a high-memory cloud gpu.
Current rates are not verified. Missing pricing does not mean free usage.
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73.9
Quality Score
1367
Arena ELO
235B
Parameters
262K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
18 of 22 public signals
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192.3K
Downloads
804
Likes
Sep 2026
Released
5/5 signals
4/4 signals
4/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
7
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
LiveCodeBench pass@1 80.4 across 1055 tasks
View sourceLiveCodeBench pass@1 80.4 across 1055 tasks
View sourceSWE-Bench Verified resolved rate 69.6
LiveCodeBench pass@1 80.4 across 1055 tasks
View sourceArena-Hard-Auto official Gemini-2.5 judged score 58.4 with CI -1.9/2.1
View sourceqwen3-235b-a22b-instruct-2507 is now available through local Ollama runtime. 40K context window listed. Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
LiveCodeBench pass@1 80.4 across 1055 tasks
LiveCodeBench pass@1 80.4 across 1055 tasks
SWE-Bench Verified resolved rate 69.6
LiveCodeBench pass@1 80.4 across 1055 tasks
Arena-Hard-Auto official Gemini-2.5 judged score 58.4 with CI -1.9/2.1