Model comparison
GPT-4o mini vs Qwen2-72B
Qwen2-72B is the stronger model overall, scoring 30.0 to 25.5 on the Noometry Index.
Last verified . 24 shared benchmarks.
Alibaba (Qwen)Summary
- They share 24 benchmarks with published results for both. GPT-4o mini scores higher in 4 categories and Qwen2-72B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2-72B leads 30.2 to 10.4.
- The biggest single-benchmark swing is MATH Level 5: 52.6% for GPT-4o mini and 39.1% for Qwen2-72B.
- Qwen2-72B has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Qwen2-72B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 25.5 | 30.0 |
| Released | 2024-07-18 | 2024-06-07 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 60 | 26 |
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Category by category
Coding Qwen2-72B leads
GPT-4o mini: 22.0 (#335), Qwen2-72B: 29.1 (#310)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| WeirdML | 11.8% | 11.3% |
| BigCodeBench Instruct | 46.1% | 38.5% |
| LMArena Coding | 1290 | 1196 |
| BigCodeBench Complete | 57.4% | 54% |
| Aider Polyglot | 3.6% | — |
| LiveBench Coding | 43.1% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use GPT-4o mini leads
GPT-4o mini: 27.5 (#101), Qwen2-72B: 17.0 (#146)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| BALROG | 17.4% | — |
| METR Time Horizons | — | 29.9% |
Reasoning Qwen2-72B leads
GPT-4o mini: 8.7 (#347), Qwen2-72B: 23.2 (#181)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1267 | 1191 |
| Epoch Capabilities Index | 126.56 | 125.28 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math Qwen2-72B leads
GPT-4o mini: 10.4 (#314), Qwen2-72B: 30.2 (#236)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| LMArena Math | 1267 | 1235 |
| MATH Level 5 | 52.6% | 39.1% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| GSM8K | 91.3% | — |
Knowledge Qwen2-72B leads
GPT-4o mini: 17.7 (#284), Qwen2-72B: 21.2 (#275)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| GPQA Diamond | 37.7% | 40.8% |
| LMArena Expert | 1235 | 1171 |
| MMLU | 81.8% | 82.4% |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Qwen2-72B: —
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual GPT-4o mini leads
GPT-4o mini: 42.0 (#199), Qwen2-72B: 35.9 (#244)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1266 | 1176 |
| LMArena Chinese | 1265 | 1240 |
| LMArena French | 1297 | 1170 |
| LMArena German | 1272 | 1151 |
| LMArena Japanese | 1216 | 1111 |
| LMArena Korean | 1195 | 1083 |
| LMArena Russian | 1275 | 1169 |
| LMArena Spanish | 1276 | 1169 |
Instruction Following Too close to call
GPT-4o mini: 61.9 (#239), Qwen2-72B: 61.7 (#241)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1181 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context GPT-4o mini leads
GPT-4o mini: 39.1 (#186), Qwen2-72B: 36.1 (#235)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1289 | 1192 |
Writing & Preference Qwen2-72B leads
GPT-4o mini: 39.5 (#248), Qwen2-72B: 40.8 (#241)
| Benchmark | GPT-4o mini | Qwen2-72B |
|---|---|---|
| LMArena Text | 1286 | 1203 |
| LMArena Creative Writing | 1268 | 1181 |
| LMArena Multi-Turn | 1285 | 1196 |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Qwen2-72B?
Qwen2-72B is the stronger model overall, scoring 30.0 to 25.5 on the Noometry Index.
Is GPT-4o mini or Qwen2-72B better for coding?
Qwen2-72B scores higher on coding benchmarks: 29.1 versus 22.0 in the Noometry coding category.
How many benchmarks do GPT-4o mini and Qwen2-72B share?
24 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Qwen2-72B has 26.