# GPT-4.1 mini vs Qwen2.5 32B Instruct

> GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-qwen2-5-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. GPT-4.1 mini scores higher in 2 categories and Qwen2.5 32B Instruct in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 24.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 7.4% for Qwen2.5 32B Instruct.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.6 | 30.1 |
| Rank | 240 | 297 |
| Context | 1.05M | 131K |
| Input $/M | $0.40 | $0.70 |
| Output $/M | $1.60 | $2.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 mini: 30.6 (#293)
- Qwen2.5 32B Instruct: 38.7 (#169)

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 45% |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| LMArena Coding | 1367 | — |
| BigCodeBench Complete | — | 52.3% |
| CadEval | 16% | — |

## Agentic & Tool Use

- GPT-4.1 mini: 33.3 (#55)
- Qwen2.5 32B Instruct: —

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |

## Reasoning

- GPT-4.1 mini: 10.8 (#340)
- Qwen2.5 32B Instruct: 19.2 (#266)

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | 7% | 0% |
| Epoch Capabilities Index | 135.01 | 128.52 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| LMArena Hard Prompts | 1349 | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |

## Math

- GPT-4.1 mini: 24.1 (#270)
- Qwen2.5 32B Instruct: 16.2 (#296)

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 7.4% |
| MATH Level 5 | 87.3% | 56.1% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |

## Knowledge

- GPT-4.1 mini: 34.7 (#194)
- Qwen2.5 32B Instruct: 24.9 (#266)

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | 65.8% | 46.1% |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |

## Multimodal

- GPT-4.1 mini: 35.8 (#82)
- Qwen2.5 32B Instruct: —

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Vision | 1181 | — |

## Multilingual

- GPT-4.1 mini: 45.7 (#166)
- Qwen2.5 32B Instruct: —

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena Chinese | 1329 | — |
| LMArena French | 1358 | — |
| LMArena German | 1351 | — |
| LMArena Japanese | 1290 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |

## Instruction Following

- GPT-4.1 mini: 73.7 (#118)
- Qwen2.5 32B Instruct: —

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1333 | — |

## Long Context

- GPT-4.1 mini: 31.8 (#275)
- Qwen2.5 32B Instruct: —

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |

## Writing & Preference

- GPT-4.1 mini: 48.6 (#199)
- Qwen2.5 32B Instruct: —

| Benchmark | GPT-4.1 mini | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1300 | — |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1354 | — |

## FAQ

### Is GPT-4.1 mini better than Qwen2.5 32B Instruct?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.1 on the Noometry Index.

### Which is cheaper, GPT-4.1 mini or Qwen2.5 32B Instruct?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.

### Is GPT-4.1 mini or Qwen2.5 32B Instruct better for coding?

Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 30.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 131K.

### How many benchmarks do GPT-4.1 mini and Qwen2.5 32B Instruct share?

6 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen2.5 32B Instruct has 7.