Model comparison
GPT-4.1 mini vs Qwen Max
GPT-4.1 mini and Qwen Max score almost the same on the Noometry Index (33.5 vs 34.4), so choose on price, context window or the category you care about most.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-4.1 mini scores higher in 6 categories and Qwen Max in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen Max leads 24.1 to 10.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 16.1% for Qwen Max.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 33K.
Side by side
| GPT-4.1 mini | Qwen Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.5 | 34.4 |
| Released | 2025-04-14 | 2024-04-03 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 33K |
| Max output | 33K | 8K |
| Input $ / M tokens | $0.40 | $1.60 |
| Output $ / M tokens | $1.60 | $6.40 |
| Results tracked | 47 | 23 |
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Category by category
Coding Too close to call
GPT-4.1 mini: 30.4 (#286), Qwen Max: 30.3 (#288)
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| Aider Polyglot | 32.4% | 21.8% |
| LMArena Coding | 1367 | 1288 |
| SWE-bench Verified (bash only) | 23.9% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.0 (#52), Qwen Max: —
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning Qwen Max leads
GPT-4.1 mini: 10.9 (#335), Qwen Max: 24.1 (#154)
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1349 | 1270 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |
Math GPT-4.1 mini leads
GPT-4.1 mini: 23.1 (#264), Qwen Max: 21.0 (#272)
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 16.1% |
| LMArena Math | 1343 | 1275 |
| MATH Level 5 | 87.3% | 67.2% |
| FrontierMath (Feb 2025 set) | 4.5% | 1% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| Omni-MATH | 49.1% | — |
Knowledge GPT-4.1 mini leads
GPT-4.1 mini: 34.7 (#183), Qwen Max: 30.3 (#222)
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| GPQA Diamond | 65.8% | 56.1% |
| LMArena Expert | 1338 | 1248 |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.2 (#77), Qwen Max: —
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual GPT-4.1 mini leads
GPT-4.1 mini: 45.9 (#161), Qwen Max: 42.0 (#197)
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| LMArena Non-English | 1318 | 1263 |
| LMArena Chinese | 1329 | 1254 |
| LMArena French | 1357 | 1329 |
| LMArena German | 1349 | 1254 |
| LMArena Japanese | 1291 | 1205 |
| LMArena Korean | 1298 | 1141 |
| LMArena Russian | 1324 | 1274 |
| LMArena Spanish | 1319 | 1290 |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.9 (#113), Qwen Max: 66.7 (#203)
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1332 | 1262 |
| IFEval | 90.4% | — |
Long Context Qwen Max leads
GPT-4.1 mini: 31.8 (#270), Qwen Max: 39.4 (#175)
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| Fiction.LiveBench | 44.4% | 66.7% |
| LMArena Longer Query | 1344 | 1289 |
Writing & Preference Too close to call
GPT-4.1 mini: 48.8 (#193), Qwen Max: 48.0 (#200)
| Benchmark | GPT-4.1 mini | Qwen Max |
|---|---|---|
| LMArena Text | 1341 | 1282 |
| LMArena Creative Writing | 1300 | 1248 |
| LMArena Multi-Turn | 1354 | 1277 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is GPT-4.1 mini better than Qwen Max?
GPT-4.1 mini and Qwen Max score almost the same on the Noometry Index (33.5 vs 34.4), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4.1 mini or Qwen Max?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen Max lists at $1.60 and $6.40.
Is GPT-4.1 mini or Qwen Max better for coding?
They score almost the same on coding (30.4 vs 30.3); test both on your own repository before choosing.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 33K.
How many benchmarks do GPT-4.1 mini and Qwen Max share?
23 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen Max has 23.