# GPT-5 Nano vs Qwen Max

> GPT-5 Nano and Qwen Max score almost the same on the Noometry Index (33.4 vs 34.4), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-5-nano-vs-qwen-max
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GPT-5 Nano scores higher in 5 categories and Qwen Max in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen Max leads 48.0 to 39.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 81.1% for GPT-5 Nano and 16.1% for Qwen Max.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- GPT-5 Nano accepts more context: 400K tokens versus 33K.

## Snapshot

| | GPT-5 Nano | Qwen Max |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 34.4 |
| Rank | 234 | 226 |
| Context | 400K | 33K |
| Input $/M | $0.05 | $1.60 |
| Output $/M | $0.40 | $6.40 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5 Nano: 33.3 (#248)
- Qwen Max: 30.3 (#288)

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| LMArena Coding | 1351 | 1288 |
| SWE-bench Verified (bash only) | 34.8% | — |
| Aider Polyglot | — | 21.8% |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |

## Agentic & Tool Use

- GPT-5 Nano: 25.6 (#99)
- Qwen Max: —

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |

## Reasoning

- GPT-5 Nano: 16.4 (#291)
- Qwen Max: 24.1 (#154)

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1329 | 1270 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| Chess Puzzles | 27% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| Epoch Capabilities Index | 139.39 | — |
| ForecastBench | 59.1 | — |

## Math

- GPT-5 Nano: 29.1 (#221)
- Qwen Max: 21.0 (#272)

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 81.1% | 16.1% |
| LMArena Math | 1318 | 1275 |
| MATH Level 5 | 95.2% | 67.2% |
| FrontierMath (Feb 2025 set) | 8.3% | 1% |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5 Nano: 35.8 (#166)
- Qwen Max: 30.3 (#222)

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| GPQA Diamond | 69.4% | 56.1% |
| LMArena Expert | 1321 | 1248 |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |

## Multimodal

- GPT-5 Nano: 30.7 (#102)
- Qwen Max: —

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |

## Multilingual

- GPT-5 Nano: 45.5 (#167)
- Qwen Max: 42.0 (#197)

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| LMArena Non-English | 1313 | 1263 |
| LMArena Chinese | 1355 | 1254 |
| LMArena German | 1329 | 1254 |
| LMArena Korean | 1269 | 1141 |
| LMArena Russian | 1296 | 1274 |
| LMArena Spanish | 1360 | 1290 |
| LMArena French | — | 1329 |
| LMArena Japanese | — | 1205 |

## Instruction Following

- GPT-5 Nano: 75.2 (#72)
- Qwen Max: 66.7 (#203)

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1306 | 1262 |
| IFEval | 93.2% | — |

## Long Context

- GPT-5 Nano: 31.3 (#275)
- Qwen Max: 39.4 (#175)

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| Fiction.LiveBench | 44.4% | 66.7% |
| LMArena Longer Query | 1313 | 1289 |

## Writing & Preference

- GPT-5 Nano: 39.4 (#244)
- Qwen Max: 48.0 (#200)

| Benchmark | GPT-5 Nano | Qwen Max |
|---|---|---|
| LMArena Text | 1320 | 1282 |
| LMArena Creative Writing | 1250 | 1248 |
| LMArena Multi-Turn | 1311 | 1277 |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |

## FAQ

### Is GPT-5 Nano better than Qwen Max?

GPT-5 Nano and Qwen Max score almost the same on the Noometry Index (33.4 vs 34.4), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-5 Nano or Qwen Max?

GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Qwen Max lists at $1.60 and $6.40.

### Is GPT-5 Nano or Qwen Max better for coding?

GPT-5 Nano scores higher on coding benchmarks: 33.3 versus 30.3 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Nano does, with 400K tokens against 33K.

### How many benchmarks do GPT-5 Nano and Qwen Max share?

20 benchmarks have published results for both models. GPT-5 Nano has 48 scored results on Noometry and Qwen Max has 23.