Model comparison
GPT-5.4 nano vs Qwen2.5-Max
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 40.7 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-5.4 nano scores higher in 7 categories and Qwen2.5-Max in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 nano leads 41.9 to 35.3.
Side by side
| GPT-5.4 nano | Qwen2.5-Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 41.9 | 40.7 |
| Released | 2026-03-17 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 27 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), Qwen2.5-Max: 41.8 (#117)
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1405 | 1359 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| LiveBench Coding | — | 64.4% |
| ALE-Bench | 1,005 | — |
Reasoning Qwen2.5-Max leads
GPT-5.4 nano: 23.7 (#173), Qwen2.5-Max: 25.6 (#147)
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1381 | 1360 |
| Epoch Capabilities Index | 145.81 | 132.53 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| LiveBench Reasoning | — | 51.4% |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LiveBench Data Analysis | — | 67.9% |
| LMCA | 36.9% | — |
| ForecastBench | 57.3 | — |
| LiveBench | — | 62.3% |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), Qwen2.5-Max: 36.9 (#162)
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1406 | 1369 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| LiveBench Math | — | 58.4% |
| 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), Qwen2.5-Max: 35.3 (#186)
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1396 | 1337 |
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
| Confabulations | — | 21.8% |
| Vectara Hallucination Rate | 3.1% | — |
Multimodal Not comparable
GPT-5.4 nano: 36.7 (#78), Qwen2.5-Max: —
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual Too close to call
GPT-5.4 nano: 48.6 (#140), Qwen2.5-Max: 48.1 (#146)
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1359 | 1352 |
| LMArena Chinese | 1392 | 1382 |
| LMArena French | 1396 | 1396 |
| LMArena German | 1367 | 1350 |
| LMArena Japanese | 1343 | 1300 |
| LMArena Korean | 1320 | 1304 |
| LMArena Russian | 1363 | 1353 |
| LMArena Spanish | 1371 | 1377 |
Instruction Following Too close to call
GPT-5.4 nano: 71.9 (#144), Qwen2.5-Max: 71.3 (#152)
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1362 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context Too close to call
GPT-5.4 nano: 41.6 (#137), Qwen2.5-Max: 41.4 (#142)
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1366 | 1358 |
Writing & Preference Too close to call
GPT-5.4 nano: 55.7 (#142), Qwen2.5-Max: 55.4 (#146)
| Benchmark | GPT-5.4 nano | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1372 | 1367 |
| LMArena Creative Writing | 1314 | 1339 |
| LMArena Multi-Turn | 1382 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is GPT-5.4 nano better than Qwen2.5-Max?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 40.7 on the Noometry Index.
Is GPT-5.4 nano or Qwen2.5-Max better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 41.8 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and Qwen2.5-Max share?
18 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Qwen2.5-Max has 27.