# GPT-5 Nano vs Qwen3 Coder Next

> GPT-5 Nano and Qwen3 Coder Next score almost the same on the Noometry Index (33.5 vs 34.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-5-nano-vs-qwen3-coder-next
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5 Nano scores higher in 0 categories and Qwen3 Coder Next in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3 Coder Next leads 22.4 to 16.3.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $0.12 / $0.80 for Qwen3 Coder Next.
- GPT-5 Nano accepts more context: 400K tokens versus 262K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.5 | 34.3 |
| Rank | 241 | 232 |
| Context | 400K | 262K |
| Input $/M | $0.05 | $0.12 |
| Output $/M | $0.40 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Nano: 33.6 (#254)
- Qwen3 Coder Next: 36.3 (#210)

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| WeirdML | 38.1% | 34.4% |
| SWE-bench Verified (bash only) | 34.8% | — |
| SciCode | — | 32.3% |
| LMArena Coding | 1351 | — |
| ALE-Bench | 718.67 | — |

## Agentic & Tool Use

- GPT-5 Nano: 25.8 (#106)
- Qwen3 Coder Next: —

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |

## Reasoning

- GPT-5 Nano: 16.3 (#306)
- Qwen3 Coder Next: 22.4 (#196)

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| CritPt | — | 0% |
| Chess Puzzles | 27% | — |
| LMArena Hard Prompts | 1328 | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| Epoch Capabilities Index | 139.38 | — |
| ForecastBench | 59.1 | — |

## Math

- GPT-5 Nano: 29.4 (#241)
- Qwen3 Coder Next: —

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| LMArena Math | 1317 | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5 Nano: 35.9 (#178)
- Qwen3 Coder Next: —

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
| LMArena Expert | 1321 | — |

## Multimodal

- GPT-5 Nano: 31.3 (#108)
- Qwen3 Coder Next: —

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |

## Multilingual

- GPT-5 Nano: 45.3 (#172)
- Qwen3 Coder Next: —

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1356 | — |
| LMArena German | 1327 | — |
| LMArena Japanese | 1226 | — |
| LMArena Korean | 1269 | — |
| LMArena Russian | 1296 | — |
| LMArena Spanish | 1360 | — |

## Instruction Following

- GPT-5 Nano: 75.0 (#79)
- Qwen3 Coder Next: —

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| IFEval | 93.2% | — |
| LMArena Instruction Following | 1306 | — |

## Long Context

- GPT-5 Nano: 31.3 (#281)
- Qwen3 Coder Next: —

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1312 | — |

## Writing & Preference

- GPT-5 Nano: 39.1 (#249)
- Qwen3 Coder Next: —

| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1320 | — |
| LMArena Creative Writing | 1249 | — |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
| LMArena Multi-Turn | 1311 | — |

## FAQ

### Is GPT-5 Nano better than Qwen3 Coder Next?

GPT-5 Nano and Qwen3 Coder Next score almost the same on the Noometry Index (33.5 vs 34.3), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-5 Nano or Qwen3 Coder Next?

GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Qwen3 Coder Next lists at $0.12 and $0.80.

### Is GPT-5 Nano or Qwen3 Coder Next better for coding?

Qwen3 Coder Next scores higher on coding benchmarks: 36.3 versus 33.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Nano does, with 400K tokens against 262K.

### How many benchmarks do GPT-5 Nano and Qwen3 Coder Next share?

1 benchmark has published results for both models. GPT-5 Nano has 49 scored results on Noometry and Qwen3 Coder Next has 3.