Model profile
Qwen3 235B 2507 (Reasoning)
Evidence coverage
2 of 321 tracked benchmarks are published. 2 are verified and 0 provisional. 1 of 8 categories are measured.
- Published / tracked
- 2 / 321
- Verified
- 2
- Provisional
- 0
- Categories with evidence
- 1 / 8
Evidence by category
- Agentic0 benchmarksNot measured
- Coding0 benchmarksNot measured
- Reasoning0 benchmarksNot measured
- Knowledge0 benchmarksNot measured
- Math2 benchmarksVerified
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following0 benchmarksNot measured
Qwen3 235B 2507 (Reasoning) ranks #66 out of 200 models on the public leaderboard with an overall score of 58.01/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Qwen3 235B 2507 (Reasoning) is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Qwen3 235B 2507 (Reasoning) sits inside the Qwen3 235B 2507 family alongside Qwen3 235B 2507. This profile currently has 2 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 57.44–58.61
- GPT-5 (high)OpenAICompare#6358.61GPT-5 (high) is #63 with a score of 58.61.
- GPT-5.2OpenAICompare#6458.43GPT-5.2 is #64 with a score of 58.43.
- DeepSeek V3.2 (Thinking)DeepSeekCompare#6558.15DeepSeek V3.2 (Thinking) is #65 with a score of 58.15.
- Qwen3 235B 2507 (Reasoning)Current modelAlibaba#6658.01Qwen3 235B 2507 (Reasoning) is #66 with a score of 58.01.
- Gemma 4 26B A4BGoogleCompare#6757.96Gemma 4 26B A4B is #67 with a score of 57.96.
- GLM-4.5Z.AICompare#6857.56GLM-4.5 is #68 with a score of 57.56.
- Claude Opus 4.5 ThinkingAnthropicCompare#6957.44Claude Opus 4.5 Thinking is #69 with a score of 57.44.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathRank Not rankedWeight 5%2 benchmarksVerified | 30.3 | Not ranked | Not available | 5% | 2 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1422 | Not available | Not available |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Math2 benchmarks
FrontierMath v2 Tiers 1-3
FrontierMath v2 Tier 4
Frequently Asked Questions
How does Qwen3 235B 2507 (Reasoning) perform overall in AI benchmarks?
Qwen3 235B 2507 (Reasoning) has 2 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Qwen3 235B 2507 (Reasoning) good for mathematics?
Qwen3 235B 2507 (Reasoning) has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Qwen3 235B 2507 (Reasoning) open source?
Yes, Qwen3 235B 2507 (Reasoning) is an open weight model created by Alibaba, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Qwen3 235B 2507 (Reasoning)?
Qwen3 235B 2507 (Reasoning) belongs to the Qwen3 235B 2507 family. Related variants on BenchLM include Qwen3 235B 2507.
Does Qwen3 235B 2507 (Reasoning) have full benchmark coverage on BenchLM?
Not yet. Qwen3 235B 2507 (Reasoning) currently has 2 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Qwen3 235B 2507 (Reasoning)?
Qwen3 235B 2507 (Reasoning) has a published context window of 128K, which determines how much text it can process in a single interaction.
Related Resources
Choose with this week’s evidence
Join 2,000+ readers for ranking moves, new releases, pricing changes, and the evidence behind them.
Free. One email per week.