Model comparison
GPT-5.4 nano vs Qwen2-72B
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 30.0 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GPT-5.4 nano scores higher in 8 categories and Qwen2-72B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 nano leads 41.9 to 21.2.
- The biggest single-benchmark swing is WeirdML: 49.2% for GPT-5.4 nano and 11.3% for Qwen2-72B.
- Qwen2-72B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 nano | Qwen2-72B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 41.9 | 30.0 |
| Released | 2026-03-17 | 2024-06-07 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 26 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), Qwen2-72B: 29.1 (#310)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| WeirdML | 49.2% | 11.3% |
| LMArena Coding | 1405 | 1196 |
| SciCode | 46.9% | — |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
| ALE-Bench | 1,005 | — |
Agentic & Tool Use Not comparable
GPT-5.4 nano: —, Qwen2-72B: 17.0 (#146)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Too close to call
GPT-5.4 nano: 23.7 (#173), Qwen2-72B: 23.2 (#181)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1381 | 1191 |
| Epoch Capabilities Index | 145.81 | 125.28 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| ForecastBench | 57.3 | — |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), Qwen2-72B: 30.2 (#236)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| LMArena Math | 1406 | 1235 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| MATH Level 5 | — | 39.1% |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.9 (#103), Qwen2-72B: 21.2 (#275)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| GPQA Diamond | 78.5% | 40.8% |
| LMArena Expert | 1396 | 1171 |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
| MMLU | — | 82.4% |
Multimodal Not comparable
GPT-5.4 nano: 36.7 (#78), Qwen2-72B: —
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual GPT-5.4 nano leads
GPT-5.4 nano: 48.6 (#140), Qwen2-72B: 35.9 (#244)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1359 | 1176 |
| LMArena Chinese | 1392 | 1240 |
| LMArena French | 1396 | 1170 |
| LMArena German | 1367 | 1151 |
| LMArena Japanese | 1343 | 1111 |
| LMArena Korean | 1320 | 1083 |
| LMArena Russian | 1363 | 1169 |
| LMArena Spanish | 1371 | 1169 |
Instruction Following GPT-5.4 nano leads
GPT-5.4 nano: 71.9 (#144), Qwen2-72B: 61.7 (#241)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1362 | 1181 |
Long Context GPT-5.4 nano leads
GPT-5.4 nano: 41.6 (#137), Qwen2-72B: 36.1 (#235)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1366 | 1192 |
Writing & Preference GPT-5.4 nano leads
GPT-5.4 nano: 55.7 (#142), Qwen2-72B: 40.8 (#241)
| Benchmark | GPT-5.4 nano | Qwen2-72B |
|---|---|---|
| LMArena Text | 1372 | 1203 |
| LMArena Creative Writing | 1314 | 1181 |
| LMArena Multi-Turn | 1382 | 1196 |
Frequently asked questions
Is GPT-5.4 nano better than Qwen2-72B?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 30.0 on the Noometry Index.
Is GPT-5.4 nano or Qwen2-72B better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 29.1 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and Qwen2-72B share?
20 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Qwen2-72B has 26.