# GPT-4.1 vs Qwen3 Max

> Qwen3 Max is the stronger model overall, scoring 43.5 to 35.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-qwen3-max
- Last updated: 2026-10-10
- Shared benchmarks: 29

## Summary

- They share 29 benchmarks with published results for both. GPT-4.1 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 37.6 to 21.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 38.3% for GPT-4.1 and 73.3% for Qwen3 Max.
- Qwen3 Max is cheaper at $1.20 / $6 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 262K.

## Snapshot

| | GPT-4.1 | Qwen3 Max |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 35.7 | 43.5 |
| Rank | 215 | 82 |
| Context | 1.05M | 262K |
| Input $/M | $2 | $1.20 |
| Output $/M | $8 | $6 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1: 34.2 (#228)
- Qwen3 Max: 42.4 (#93)

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1391 | 1456 |
| ALE-Bench | 558.1 | 370.45 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| WeirdML | 39% | — |
| CadEval | 42% | — |

## Agentic & Tool Use

- GPT-4.1: 34.4 (#40)
- Qwen3 Max: —

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
| Vending-Bench 2 | — | 71.56 |

## Reasoning

- GPT-4.1: 11.7 (#334)
- Qwen3 Max: 22.0 (#186)

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | 72.5% |
| Chess Puzzles | 6% | 4% |
| LMArena Hard Prompts | 1384 | 1448 |
| DTBench | 68.3% | 82.1% |
| LMCA | 25.6% | 28.3% |
| Epoch Capabilities Index | 136.79 | 142.41 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| NYT Connections (extended) | — | 30.1% |
| ARC-AGI-1 | 5.5% | — |
| EnigmaEval | 2.2% | — |
| Mystery Game Puzzles | — | 5% |
| ForecastBench | 61.5 | — |

## Math

- GPT-4.1: 21.4 (#269)
- Qwen3 Max: 37.6 (#94)

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6% | 18.9% |
| OTIS Mock AIME 2024-2025 | 38.3% | 73.3% |
| LMArena Math | 1369 | 1447 |
| MATH Level 5 | 83% | 97.1% |
| Omni-MATH | 47.1% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GPT-4.1: 37.0 (#152)
- Qwen3 Max: 48.1 (#72)

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 66.9% | 72.6% |
| SimpleQA Verified | 31.1% | 48.7% |
| LMArena Expert | 1364 | 1457 |
| Humanity's Last Exam | 5.4% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |

## Multimodal

- GPT-4.1: 37.5 (#66)
- Qwen3 Max: —

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 72% | — |

## Multilingual

- GPT-4.1: 49.6 (#128)
- Qwen3 Max: 53.9 (#58)

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1370 | 1429 |
| LMArena Chinese | 1382 | 1479 |
| LMArena French | 1383 | 1450 |
| LMArena German | 1380 | 1463 |
| LMArena Japanese | 1320 | 1399 |
| LMArena Korean | 1339 | 1397 |
| LMArena Russian | 1377 | 1428 |
| LMArena Spanish | 1375 | 1463 |

## Instruction Following

- GPT-4.1: 71.5 (#148)
- Qwen3 Max: 75.0 (#81)

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1367 | 1420 |
| IFEval | 83.8% | — |

## Long Context

- GPT-4.1: 40.0 (#158)
- Qwen3 Max: 41.6 (#129)

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | 63.9% | 66.7% |
| LMArena Longer Query | 1385 | 1439 |
| CL-bench | — | 14.5% |

## Writing & Preference

- GPT-4.1: 57.8 (#120)
- Qwen3 Max: 62.6 (#72)

| Benchmark | GPT-4.1 | Qwen3 Max |
|---|---|---|
| LMArena Text | 1383 | 1439 |
| LMArena Creative Writing | 1363 | 1401 |
| LMArena Multi-Turn | 1398 | 1446 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |

## FAQ

### Is GPT-4.1 better than Qwen3 Max?

Qwen3 Max is the stronger model overall, scoring 43.5 to 35.7 on the Noometry Index.

### Which is cheaper, GPT-4.1 or Qwen3 Max?

Qwen3 Max is cheaper. It lists at $1.20 per million input tokens and $6 per million output tokens; GPT-4.1 lists at $2 and $8.

### Is GPT-4.1 or Qwen3 Max better for coding?

Qwen3 Max scores higher on coding benchmarks: 42.4 versus 34.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 262K.

### How many benchmarks do GPT-4.1 and Qwen3 Max share?

29 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Qwen3 Max has 33.