# GPT-4.1 mini vs Qwen3.7 Plus

> Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 33.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-qwen3-7-plus
- Last updated: 2026-10-10
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Qwen3.7 Plus in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Plus leads 38.4 to 10.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 93.3% for Qwen3.7 Plus.
- Both cost about the same: $0.40 input and $1.60 output per million tokens.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.5 | 45.0 |
| Rank | 232 | 66 |
| Context | 1.05M | 1M |
| Input $/M | $0.40 | $0.40 |
| Output $/M | $1.60 | $1.60 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1 mini: 30.4 (#286)
- Qwen3.7 Plus: 36.1 (#200)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| SciCode | 40.4% | 45.5% |
| LMArena Coding | 1367 | 1473 |
| FrontierCode | — | 10.2% |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |

## Agentic & Tool Use

- GPT-4.1 mini: 33.0 (#52)
- Qwen3.7 Plus: 21.2 (#130)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
| OSWorld 2.0 | — | 2.8% |

## Reasoning

- GPT-4.1 mini: 10.9 (#335)
- Qwen3.7 Plus: 38.4 (#54)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| CritPt | 0% | 9.1% |
| Chess Puzzles | 7% | 24% |
| LMArena Hard Prompts | 1349 | 1460 |
| Mystery Game Puzzles | 7% | 17% |
| DTBench | 68.8% | 84% |
| LMCA | 21.1% | 37.6% |
| Epoch Capabilities Index | 135.01 | 147.39 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | 3.5% | — |

## Math

- GPT-4.1 mini: 23.1 (#264)
- Qwen3.7 Plus: 49.3 (#47)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | 34.4% |
| OTIS Mock AIME 2024-2025 | 44.7% | 93.3% |
| LMArena Math | 1343 | 1467 |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |

## Knowledge

- GPT-4.1 mini: 34.7 (#183)
- Qwen3.7 Plus: 54.9 (#46)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 65.8% | 87.9% |
| LMArena Expert | 1338 | 1467 |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |

## Multimodal

- GPT-4.1 mini: 35.2 (#77)
- Qwen3.7 Plus: 41.2 (#30)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | 1181 | 1281 |
| LMArena Document | — | 1444 |

## Multilingual

- GPT-4.1 mini: 45.9 (#161)
- Qwen3.7 Plus: 55.0 (#36)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1318 | 1445 |
| LMArena Chinese | 1329 | 1510 |
| LMArena French | 1357 | 1471 |
| LMArena German | 1349 | 1471 |
| LMArena Japanese | 1291 | 1411 |
| LMArena Korean | 1298 | 1416 |
| LMArena Russian | 1324 | 1457 |
| LMArena Spanish | 1319 | 1453 |

## Instruction Following

- GPT-4.1 mini: 73.9 (#113)
- Qwen3.7 Plus: 75.9 (#49)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1332 | 1439 |
| IFEval | 90.4% | — |

## Long Context

- GPT-4.1 mini: 31.8 (#270)
- Qwen3.7 Plus: 44.5 (#61)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1344 | 1454 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- GPT-4.1 mini: 48.8 (#193)
- Qwen3.7 Plus: 64.5 (#54)

| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1341 | 1454 |
| LMArena Creative Writing | 1300 | 1439 |
| LMArena Multi-Turn | 1354 | 1459 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |

## FAQ

### Is GPT-4.1 mini better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 33.5 on the Noometry Index.

### Which is cheaper, GPT-4.1 mini or Qwen3.7 Plus?

Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

### Is GPT-4.1 mini or Qwen3.7 Plus better for coding?

Qwen3.7 Plus scores higher on coding benchmarks: 36.1 versus 30.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 1M.

### How many benchmarks do GPT-4.1 mini and Qwen3.7 Plus share?

28 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3.7 Plus has 32.