Model comparison
GPT-5 Nano vs Qwen3 Coder Next
GPT-5 Nano and Qwen3 Coder Next score almost the same on the Noometry Index (33.4 vs 33.8), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)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 21.7 to 16.4.
- 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.
Side by side
| GPT-5 Nano | Qwen3 Coder Next | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 33.8 |
| Released | 2025-08-07 | 2026-02-02 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.05 | $0.12 |
| Output $ / M tokens | $0.40 | $0.80 |
| Results tracked | 48 | 3 |
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Category by category
Coding Qwen3 Coder Next leads
GPT-5 Nano: 33.3 (#248), Qwen3 Coder Next: 35.8 (#206)
| 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 Not comparable
GPT-5 Nano: 25.6 (#99), Qwen3 Coder Next: —
| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
Reasoning Qwen3 Coder Next leads
GPT-5 Nano: 16.4 (#291), Qwen3 Coder Next: 21.7 (#191)
| 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 | 1329 | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| Epoch Capabilities Index | 139.39 | — |
| ForecastBench | 59.1 | — |
Math Not comparable
GPT-5 Nano: 29.1 (#221), 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 | 1318 | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Not comparable
GPT-5 Nano: 35.8 (#166), 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 Not comparable
GPT-5 Nano: 30.7 (#102), Qwen3 Coder Next: —
| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual Not comparable
GPT-5 Nano: 45.5 (#167), Qwen3 Coder Next: —
| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1355 | — |
| LMArena German | 1329 | — |
| LMArena Korean | 1269 | — |
| LMArena Russian | 1296 | — |
| LMArena Spanish | 1360 | — |
Instruction Following Not comparable
GPT-5 Nano: 75.2 (#72), Qwen3 Coder Next: —
| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| IFEval | 93.2% | — |
| LMArena Instruction Following | 1306 | — |
Long Context Not comparable
GPT-5 Nano: 31.3 (#275), Qwen3 Coder Next: —
| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1313 | — |
Writing & Preference Not comparable
GPT-5 Nano: 39.4 (#244), Qwen3 Coder Next: —
| Benchmark | GPT-5 Nano | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1320 | — |
| LMArena Creative Writing | 1250 | — |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
| LMArena Multi-Turn | 1311 | — |
Frequently asked questions
Is GPT-5 Nano better than Qwen3 Coder Next?
GPT-5 Nano and Qwen3 Coder Next score almost the same on the Noometry Index (33.4 vs 33.8), 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: 35.8 versus 33.3 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 48 scored results on Noometry and Qwen3 Coder Next has 3.