Model comparison
GPT-5.4 mini vs Qwen1.5-72B
GPT-5.4 mini is the stronger model overall, scoring 44.8 to 30.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and Qwen1.5-72B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.4 to 11.5.
- The biggest single-benchmark swing is GPQA Diamond: 86.9% for GPT-5.4 mini and 28.8% for Qwen1.5-72B.
- Qwen1.5-72B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | Qwen1.5-72B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 44.8 | 30.3 |
| Released | 2026-03-17 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $4.50 | — |
| Results tracked | 46 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.0 (#67), Qwen1.5-72B: 31.4 (#272)
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1438 | 1166 |
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| ALE-Bench | 1,189 | — |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Agentic & Tool Use Not comparable
GPT-5.4 mini: 29.6 (#74), Qwen1.5-72B: —
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.3 (#77), Qwen1.5-72B: 21.2 (#201)
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1148 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| Epoch Capabilities Index | 148.83 | — |
| ForecastBench | 57 | — |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.4 (#63), Qwen1.5-72B: 30.7 (#205)
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1418 | 1164 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.4 (#62), Qwen1.5-72B: 11.5 (#295)
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | 86.9% | 28.8% |
| LMArena Expert | 1434 | 1136 |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal Not comparable
GPT-5.4 mini: 39.0 (#51), Qwen1.5-72B: —
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 52.1 (#94), Qwen1.5-72B: 33.4 (#248)
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1405 | 1135 |
| LMArena Chinese | 1446 | 1186 |
| LMArena French | 1440 | 1158 |
| LMArena German | 1407 | 1084 |
| LMArena Japanese | 1375 | 1061 |
| LMArena Korean | 1369 | 1049 |
| LMArena Russian | 1417 | 1104 |
| LMArena Spanish | 1403 | 1110 |
Instruction Following GPT-5.4 mini leads
GPT-5.4 mini: 74.3 (#99), Qwen1.5-72B: 59.6 (#251)
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1142 |
Long Context GPT-5.4 mini leads
GPT-5.4 mini: 42.9 (#107), Qwen1.5-72B: 35.0 (#238)
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1407 | 1157 |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.2 (#56), Qwen1.5-72B: 37.4 (#253)
| Benchmark | GPT-5.4 mini | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1411 | 1166 |
| LMArena Creative Writing | 1370 | 1137 |
| LMArena Multi-Turn | 1429 | 1160 |
| EQ-Bench Creative Writing | 1665 | — |
Frequently asked questions
Is GPT-5.4 mini better than Qwen1.5-72B?
GPT-5.4 mini is the stronger model overall, scoring 44.8 to 30.3 on the Noometry Index.
Is GPT-5.4 mini or Qwen1.5-72B better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.0 versus 31.4 in the Noometry coding category.
How many benchmarks do GPT-5.4 mini and Qwen1.5-72B share?
18 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Qwen1.5-72B has 22.