Model comparison
GPT-5 Nano vs Qwen2.5-Coder (1.5B)
GPT-5 Nano has enough public results to be ranked (#234); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
- Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Nano | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.4 | — |
| Released | 2025-08-07 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 48 | 6 |
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Category by category
Coding Not comparable
GPT-5 Nano: 33.3 (#248), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| SWE-bench Verified (bash only) | 34.8% | — |
| WeirdML | 38.1% | — |
| LMArena Coding | 1351 | — |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Not comparable
GPT-5 Nano: 25.6 (#99), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
Reasoning Not comparable
GPT-5 Nano: 16.4 (#291), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 139.39 | 112.93 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| Chess Puzzles | 27% | — |
| LMArena Hard Prompts | 1329 | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| ForecastBench | 59.1 | — |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
GPT-5 Nano: 29.1 (#221), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| 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% | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
GPT-5 Nano: 35.8 (#166), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
| LMArena Expert | 1321 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multimodal Not comparable
GPT-5 Nano: 30.7 (#102), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual Not comparable
GPT-5 Nano: 45.5 (#167), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| 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), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| IFEval | 93.2% | — |
| LMArena Instruction Following | 1306 | — |
Long Context Not comparable
GPT-5 Nano: 31.3 (#275), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1313 | — |
Writing & Preference Not comparable
GPT-5 Nano: 39.4 (#244), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5 Nano | Qwen2.5-Coder (1.5B) |
|---|---|---|
| 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 Qwen2.5-Coder (1.5B)?
GPT-5 Nano has enough public results to be ranked (#234); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do GPT-5 Nano and Qwen2.5-Coder (1.5B) share?
1 benchmark has published results for both models. GPT-5 Nano has 48 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.