BenchmarksToday
Qwen3-235B-A22B - LiveCodeBench
LiveCodeBench pass@1 80.4 across 1055 tasks
View sourceQwen
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Running this yourself: likely needs a high-memory cloud gpu.
48.9
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.
15 of 22 public signals
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Jul 2025
Released
3/5 signals
4/4 signals
5/5 signals
1/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
6
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 sourceArena-Hard-Auto official Gemini-2.5 judged score 58.4 with CI -1.9/2.1
View sourceSWE-Bench Verified resolved rate 69.6
SWE-Bench Verified resolved rate 69.6
View sourceGAIA score 44.2 from WA0824
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
Arena-Hard-Auto official Gemini-2.5 judged score 58.4 with CI -1.9/2.1
SWE-Bench Verified resolved rate 69.6
SWE-Bench Verified resolved rate 69.6