Model comparison
GPT-4.1 mini vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 33.6 on the Noometry Index.
Last verified . 28 shared benchmarks.
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 39.3 to 10.8.
- 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.
Side by side
| GPT-4.1 mini | Qwen3.7 Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.6 | 45.3 |
| Released | 2025-04-14 | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.40 | $0.40 |
| Output $ / M tokens | $1.60 | $1.60 |
| Results tracked | 47 | 32 |
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Category by category
Coding Qwen3.7 Plus leads
GPT-4.1 mini: 30.6 (#293), Qwen3.7 Plus: 36.6 (#206)
| 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 leads
GPT-4.1 mini: 33.3 (#55), Qwen3.7 Plus: 21.4 (#138)
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
| OSWorld 2.0 | — | 2.8% |
Reasoning Qwen3.7 Plus leads
GPT-4.1 mini: 10.8 (#340), Qwen3.7 Plus: 39.3 (#59)
| 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 | 147.37 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | 3.5% | — |
Math Qwen3.7 Plus leads
GPT-4.1 mini: 24.1 (#270), Qwen3.7 Plus: 50.5 (#56)
| 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 | 1466 |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge Qwen3.7 Plus leads
GPT-4.1 mini: 34.7 (#194), Qwen3.7 Plus: 54.9 (#51)
| 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 Qwen3.7 Plus leads
GPT-4.1 mini: 35.8 (#82), Qwen3.7 Plus: 41.8 (#33)
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | 1181 | 1279 |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
GPT-4.1 mini: 45.7 (#166), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1318 | 1445 |
| LMArena Chinese | 1329 | 1510 |
| LMArena French | 1358 | 1473 |
| LMArena German | 1351 | 1471 |
| LMArena Japanese | 1290 | 1413 |
| LMArena Korean | 1298 | 1415 |
| LMArena Russian | 1324 | 1457 |
| LMArena Spanish | 1319 | 1457 |
Instruction Following Qwen3.7 Plus leads
GPT-4.1 mini: 73.7 (#118), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1333 | 1440 |
| IFEval | 90.4% | — |
Long Context Qwen3.7 Plus leads
GPT-4.1 mini: 31.8 (#275), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1344 | 1455 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Qwen3.7 Plus leads
GPT-4.1 mini: 48.6 (#199), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1340 | 1455 |
| LMArena Creative Writing | 1300 | 1439 |
| LMArena Multi-Turn | 1354 | 1460 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is GPT-4.1 mini better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 33.6 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: 36.6 versus 30.6 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.