Model comparison
GPT-5 Nano vs Qwen3 8B
GPT-5 Nano and Qwen3 8B score almost the same on the Noometry Index (33.5 vs 33.7), so choose on price, context window or the category you care about most.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. GPT-5 Nano scores higher in 0 categories and Qwen3 8B in 6 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in long context, where Qwen3 8B leads 37.9 to 31.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 81.1% for GPT-5 Nano and 56.1% for Qwen3 8B.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $0.18 / $0.70 for Qwen3 8B.
- GPT-5 Nano accepts more context: 400K tokens versus 131K.
- Qwen3 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Nano | Qwen3 8B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.5 | 33.7 |
| Released | 2025-08-07 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.05 | $0.18 |
| Output $ / M tokens | $0.40 | $0.70 |
| Results tracked | 49 | 11 |
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Category by category
Coding Too close to call
GPT-5 Nano: 33.6 (#254), Qwen3 8B: 34.0 (#248)
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| SWE-bench Verified (bash only) | 34.8% | — |
| SciCode | — | 22.6% |
| WeirdML | 38.1% | — |
| LMArena Coding | 1351 | — |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Qwen3 8B leads
GPT-5 Nano: 25.8 (#106), Qwen3 8B: 30.2 (#78)
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 51.5% | 42.6% |
| Terminal-Bench | 21.8% | — |
Reasoning Too close to call
GPT-5 Nano: 16.3 (#306), Qwen3 8B: 16.6 (#303)
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| Chess Puzzles | 27% | 5% |
| DTBench | 62.7% | 59.7% |
| LMCA | 7.9% | 8.8% |
| Epoch Capabilities Index | 139.38 | 136.17 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1328 | — |
| Mystery Game Puzzles | 9% | — |
| ForecastBench | 59.1 | — |
Math Qwen3 8B leads
GPT-5 Nano: 29.4 (#241), Qwen3 8B: 34.9 (#191)
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 81.1% | 56.1% |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| 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 Too close to call
GPT-5 Nano: 35.9 (#178), Qwen3 8B: 36.1 (#173)
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| GPQA Diamond | 69.4% | 56.8% |
| Vectara Hallucination Rate | 10.5% | 4.8% |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| GPQA (HELM) | 67.9% | — |
| LMArena Expert | 1321 | — |
Multimodal Not comparable
GPT-5 Nano: 31.3 (#108), Qwen3 8B: —
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual Not comparable
GPT-5 Nano: 45.3 (#172), Qwen3 8B: —
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1356 | — |
| LMArena German | 1327 | — |
| LMArena Japanese | 1226 | — |
| LMArena Korean | 1269 | — |
| LMArena Russian | 1296 | — |
| LMArena Spanish | 1360 | — |
Instruction Following Not comparable
GPT-5 Nano: 75.0 (#79), Qwen3 8B: —
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| IFEval | 93.2% | — |
| LMArena Instruction Following | 1306 | — |
Long Context Qwen3 8B leads
GPT-5 Nano: 31.3 (#281), Qwen3 8B: 37.9 (#210)
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | 44.4% | 62.1% |
| LMArena Longer Query | 1312 | — |
Writing & Preference Not comparable
GPT-5 Nano: 39.1 (#249), Qwen3 8B: —
| Benchmark | GPT-5 Nano | Qwen3 8B |
|---|---|---|
| LMArena Text | 1320 | — |
| LMArena Creative Writing | 1249 | — |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
| LMArena Multi-Turn | 1311 | — |
Frequently asked questions
Is GPT-5 Nano better than Qwen3 8B?
GPT-5 Nano and Qwen3 8B score almost the same on the Noometry Index (33.5 vs 33.7), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5 Nano or Qwen3 8B?
GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Qwen3 8B lists at $0.18 and $0.70.
Is GPT-5 Nano or Qwen3 8B better for coding?
They score almost the same on coding (33.6 vs 34.0); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5 Nano does, with 400K tokens against 131K.
How many benchmarks do GPT-5 Nano and Qwen3 8B share?
9 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Qwen3 8B has 11.