Model comparison
Chatgpt 4o Latest 20250326 vs Mistral Large
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 31.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Chatgpt 4o Latest 20250326 leads 62.8 to 40.9.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Mistral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 43.2 | 31.6 |
| Released | — | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 21 | 51 |
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Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.0 (#122), Mistral Large: 33.8 (#240)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| LMArena Coding | 1413 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, Mistral Large: 28.4 (#83)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 32.8 (#64), Mistral Large: 15.4 (#305)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1257 |
| SimpleBench | — | 22.5% |
| Kagi LLM Benchmark | 75% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 35.8 (#134), Mistral Large: 17.1 (#285)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| LMArena Math | 1407 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 38.7 (#131), Mistral Large: 30.0 (#224)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| Confabulations | 16.6% | 21.4% |
| LMArena Expert | 1400 | 1232 |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 38.9 (#54), Mistral Large: —
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 53.1 (#72), Mistral Large: 40.1 (#214)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| LMArena Non-English | 1419 | 1237 |
| LMArena Chinese | 1456 | 1240 |
| LMArena French | 1447 | 1324 |
| LMArena German | 1424 | 1254 |
| LMArena Japanese | 1406 | 1187 |
| LMArena Korean | 1397 | 1202 |
| LMArena Russian | 1429 | 1257 |
| LMArena Spanish | 1435 | 1268 |
Instruction Following Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 74.2 (#102), Mistral Large: 68.1 (#186)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1403 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 43.1 (#104), Mistral Large: 38.3 (#194)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1413 | 1262 |
Writing & Preference Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 62.8 (#68), Mistral Large: 40.9 (#237)
| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Large |
|---|---|---|
| LMArena Text | 1429 | 1266 |
| LMArena Creative Writing | 1406 | 1243 |
| EQ-Bench Creative Writing | 1501 | 985 |
| LMArena Multi-Turn | 1454 | 1260 |
| Short-Story Creative Writing | — | 69% |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Mistral Large?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 31.6 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Mistral Large better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.0 versus 33.8 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Mistral Large share?
19 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Mistral Large has 51.