Model profile
Qwen2.5 Coder 32B Instruct
Evidence coverage
4 of 323 tracked benchmarks are published. 0 are verified and 4 provisional. 2 of 8 categories are measured.
- Published / tracked
- 4 / 323
- Verified
- 0
- Provisional
- 4
- Categories with evidence
- 2 / 8
Evidence by category
- Agentic0 benchmarksNot measured
- Coding1 benchmarkReported
- Reasoning0 benchmarksNot measured
- Knowledge3 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following0 benchmarksNot measured
Qwen2.5 Coder 32B Instruct ranks #186 out of 200 models on the public leaderboard with an overall score of 34.7/100. It also ranks #85 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Qwen2.5 Coder 32B Instruct is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 4 of 323 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 34.47–38.32
- Granite-4.0-350MIBMCompare#18138.32Granite-4.0-350M is #181 with a score of 38.32.
- Granite-4.0-H-350MIBMCompare#18238.32Granite-4.0-H-350M is #182 with a score of 38.32.
- GPT-4o miniOpenAICompare#18337.87GPT-4o mini is #183 with a score of 37.87.
- Claude 4.1 Opus ThinkingAnthropicCompare#18436.55Claude 4.1 Opus Thinking is #184 with a score of 36.55.
- Gemini 1.5 ProGoogleCompare#18535.71Gemini 1.5 Pro is #185 with a score of 35.71.
- Qwen2.5 Coder 32B InstructCurrent modelAlibaba#18634.7Qwen2.5 Coder 32B Instruct is #186 with a score of 34.7.
- Ministral 3 14BMistralCompare#18734.47Ministral 3 14B is #187 with a score of 34.47.
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%1 benchmarkReported | Score pending | Not ranked | Not available | 20% | 1 benchmark | Reported |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%3 benchmarksReported | Score pending | Not ranked | Not available | 12% | 3 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| 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 | 1270 | ±8.1 | 5,432 |
| Coding | 1342 | ±18.5 | 873 |
| Math | 1270 | ±19.3 | 725 |
| Instruction Following | 1264 | ±11.9 | 2,227 |
| Creative Writing | 1207 | ±19.3 | 836 |
| Multi-turn | 1251 | ±17.9 | 1,024 |
| Hard Prompts | 1303 | ±14.6 | 1,386 |
| Hard Prompts (English) | 1319 | ±19.7 | 759 |
| Longer Query | 1287 | ±18.9 | 804 |
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.
Coding1 benchmark
Artificial Analysis SciCode
Knowledge3 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Frequently Asked Questions
How does Qwen2.5 Coder 32B Instruct perform overall in AI benchmarks?
Qwen2.5 Coder 32B Instruct has 4 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Qwen2.5 Coder 32B Instruct good for knowledge and understanding?
Qwen2.5 Coder 32B Instruct has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Qwen2.5 Coder 32B Instruct good for coding and programming?
Qwen2.5 Coder 32B Instruct has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is Qwen2.5 Coder 32B Instruct open source?
Yes, Qwen2.5 Coder 32B Instruct is an open weight model created by Alibaba, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Qwen2.5 Coder 32B Instruct have full benchmark coverage on BenchLM?
Not yet. Qwen2.5 Coder 32B Instruct currently has 4 published benchmark scores out of the 323 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 Qwen2.5 Coder 32B Instruct?
Qwen2.5 Coder 32B Instruct has a published context window of 128K, which determines how much text it can process in a single interaction.
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