# GPT-4.1 mini vs Qwen3 32B

> Qwen3 32B is the stronger model overall, scoring 39.2 to 33.6 on the Noometry Index. GPT-4.1 mini costs 1.7× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-qwen3-32b
- Last updated: 2026-10-12
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. GPT-4.1 mini scores higher in 3 categories and Qwen3 32B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 32B leads 39.7 to 24.1.
- The biggest single-benchmark swing is Fiction.LiveBench: 44.4% for GPT-4.1 mini and 74.2% for Qwen3 32B.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.6 | 39.2 |
| Rank | 240 | 172 |
| 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)
- Qwen3 32B: 37.7 (#190)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| Aider Polyglot | 32.4% | 40% |
| SciCode | 40.4% | 35.4% |
| LMArena Coding | 1367 | 1358 |
| SWE-bench Verified (bash only) | 23.9% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |

## Agentic & Tool Use

- GPT-4.1 mini: 33.3 (#55)
- Qwen3 32B: 32.6 (#62)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | 48.7% |

## Reasoning

- GPT-4.1 mini: 10.8 (#340)
- Qwen3 32B: 20.2 (#241)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 48.6% | 54.9% |
| CritPt | 0% | 0.3% |
| Chess Puzzles | 7% | 5% |
| LMArena Hard Prompts | 1349 | 1334 |
| DTBench | 68.8% | 67.5% |
| LMCA | 21.1% | 17.3% |
| Epoch Capabilities Index | 135.01 | 138.51 |
| ARC-AGI-2 | 0% | — |
| ARC-AGI-1 | 3.5% | — |
| Mystery Game Puzzles | 7% | — |

## Math

- GPT-4.1 mini: 24.1 (#270)
- Qwen3 32B: 39.7 (#99)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 66.9% |
| LMArena Math | 1343 | 1399 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |

## Knowledge

- GPT-4.1 mini: 34.7 (#194)
- Qwen3 32B: 40.0 (#125)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 65.8% | 65.7% |
| LMArena Expert | 1338 | 1362 |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| Vectara Hallucination Rate | — | 5.9% |
| GPQA (HELM) | 61.4% | — |

## Multimodal

- GPT-4.1 mini: 35.8 (#82)
- Qwen3 32B: —

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1181 | — |

## Multilingual

- GPT-4.1 mini: 45.7 (#166)
- Qwen3 32B: 45.6 (#167)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1318 | 1317 |
| LMArena Chinese | 1329 | 1357 |
| LMArena German | 1351 | 1341 |
| LMArena Russian | 1324 | 1311 |
| LMArena French | 1358 | — |
| LMArena Japanese | 1290 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1319 | — |

## Instruction Following

- GPT-4.1 mini: 73.7 (#118)
- Qwen3 32B: 68.9 (#179)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1333 | 1305 |
| IFEval | 90.4% | — |

## Long Context

- GPT-4.1 mini: 31.8 (#275)
- Qwen3 32B: 43.8 (#87)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| Fiction.LiveBench | 44.4% | 74.2% |
| LMArena Longer Query | 1344 | 1327 |

## Writing & Preference

- GPT-4.1 mini: 48.6 (#199)
- Qwen3 32B: 52.9 (#163)

| Benchmark | GPT-4.1 mini | Qwen3 32B |
|---|---|---|
| LMArena Text | 1340 | 1340 |
| LMArena Creative Writing | 1300 | 1297 |
| LMArena Multi-Turn | 1354 | 1331 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |

## FAQ

### Is GPT-4.1 mini better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 39.2 to 33.6 on the Noometry Index. GPT-4.1 mini costs 1.7× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

### Which is cheaper, GPT-4.1 mini or Qwen3 32B?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

### Is GPT-4.1 mini or Qwen3 32B better for coding?

Qwen3 32B scores higher on coding benchmarks: 37.7 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 Qwen3 32B share?

25 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3 32B has 26.