Model comparison
GPT-4.1 mini vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 33.6 on the Noometry Index. GPT-4.1 mini costs 3.4× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and Qwen3 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 Max leads 38.7 to 24.1.
- The biggest single-benchmark swing is SimpleQA Verified: 12.7% for GPT-4.1 mini and 48.7% for Qwen3 Max.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 262K.
Side by side
| GPT-4.1 mini | Qwen3 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.6 | 43.7 |
| Released | 2025-04-14 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 262K |
| Max output | 33K | 66K |
| Input $ / M tokens | $0.40 | $1.20 |
| Output $ / M tokens | $1.60 | $6 |
| Results tracked | 47 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3 Max leads
GPT-4.1 mini: 30.6 (#293), Qwen3 Max: 43.0 (#93)
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1367 | 1456 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.3 (#55), Qwen3 Max: —
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
GPT-4.1 mini: 10.8 (#340), Qwen3 Max: 22.6 (#190)
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| Kagi LLM Benchmark | 48.6% | 72.5% |
| Chess Puzzles | 7% | 4% |
| LMArena Hard Prompts | 1349 | 1448 |
| Mystery Game Puzzles | 7% | 5% |
| DTBench | 68.8% | 82.1% |
| LMCA | 21.1% | 28.3% |
| Epoch Capabilities Index | 135.01 | 142.38 |
| ARC-AGI-2 | 0% | — |
| NYT Connections (extended) | — | 30.1% |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
Math Qwen3 Max leads
GPT-4.1 mini: 24.1 (#270), Qwen3 Max: 38.7 (#131)
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | 18.9% |
| OTIS Mock AIME 2024-2025 | 44.7% | 73.3% |
| LMArena Math | 1343 | 1446 |
| MATH Level 5 | 87.3% | 97.1% |
| Omni-MATH | 49.1% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge Qwen3 Max leads
GPT-4.1 mini: 34.7 (#194), Qwen3 Max: 48.1 (#78)
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 65.8% | 72.6% |
| SimpleQA Verified | 12.7% | 48.7% |
| LMArena Expert | 1338 | 1455 |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), Qwen3 Max: —
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Qwen3 Max leads
GPT-4.1 mini: 45.7 (#166), Qwen3 Max: 53.7 (#62)
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1318 | 1429 |
| LMArena Chinese | 1329 | 1478 |
| LMArena French | 1358 | 1449 |
| LMArena German | 1351 | 1463 |
| LMArena Japanese | 1290 | 1397 |
| LMArena Korean | 1298 | 1399 |
| LMArena Russian | 1324 | 1428 |
| LMArena Spanish | 1319 | 1462 |
Instruction Following Qwen3 Max leads
GPT-4.1 mini: 73.7 (#118), Qwen3 Max: 74.8 (#87)
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1333 | 1419 |
| IFEval | 90.4% | — |
Long Context Qwen3 Max leads
GPT-4.1 mini: 31.8 (#275), Qwen3 Max: 41.6 (#134)
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | 44.4% | 66.7% |
| LMArena Longer Query | 1344 | 1438 |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
GPT-4.1 mini: 48.6 (#199), Qwen3 Max: 62.4 (#76)
| Benchmark | GPT-4.1 mini | Qwen3 Max |
|---|---|---|
| LMArena Text | 1340 | 1439 |
| LMArena Creative Writing | 1300 | 1402 |
| LMArena Multi-Turn | 1354 | 1446 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is GPT-4.1 mini better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 33.6 on the Noometry Index. GPT-4.1 mini costs 3.4× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Which is cheaper, GPT-4.1 mini or Qwen3 Max?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is GPT-4.1 mini or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 mini and Qwen3 Max share?
29 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3 Max has 33.