Model comparison
Chatgpt 4o Latest 20250326 vs Qwen2.5 72B Instruct
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.8 to 31.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 8 categories and Qwen2.5 72B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Chatgpt 4o Latest 20250326 leads 38.6 to 19.3.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 43.8 | 31.9 |
| Released | — | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $5.60 |
| Results tracked | 21 | 43 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.6 (#122), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Coding | 1413 | 1292 |
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| BigCodeBench Complete | — | 55.9% |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 33.8 (#71), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1271 |
| Kagi LLM Benchmark | 75% | — |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| Epoch Capabilities Index | — | 129 |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 38.6 (#134), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Math | 1407 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | — | 33% |
| MATH Level 5 | — | 63.2% |
Knowledge Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 39.2 (#137), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| Confabulations | 16.6% | 19.1% |
| LMArena Expert | 1401 | 1245 |
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | — | 63.1% |
| GPQA (HELM) | — | 42.6% |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 39.6 (#58), Qwen2.5 72B Instruct: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 52.9 (#76), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1419 | 1252 |
| LMArena Chinese | 1457 | 1272 |
| LMArena French | 1446 | 1280 |
| LMArena German | 1423 | 1234 |
| LMArena Japanese | 1405 | 1180 |
| LMArena Korean | 1396 | 1188 |
| LMArena Russian | 1429 | 1264 |
| LMArena Spanish | 1434 | 1256 |
Instruction Following Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 74.0 (#107), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1403 | 1254 |
| IFEval | — | 80.6% |
Long Context Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 43.1 (#107), Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | 1282 |
Writing & Preference Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 62.6 (#72), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1429 | 1269 |
| LMArena Creative Writing | 1405 | 1221 |
| LMArena Multi-Turn | 1454 | 1272 |
| EQ-Bench Creative Writing | 1501 | — |
| WildBench | — | 80.2% |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Qwen2.5 72B Instruct?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.8 to 31.9 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Qwen2.5 72B Instruct better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.6 versus 33.2 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Qwen2.5 72B Instruct share?
18 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Qwen2.5 72B Instruct has 43.