Model comparison
Chatgpt 4o Latest 20250326 vs Mixtral 8x22B
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.8 to 27.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Chatgpt 4o Latest 20250326 leads 62.6 to 36.9.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Mixtral 8x22B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 43.8 | 27.1 |
| Released | — | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | — | 64K |
| Max output | — | 64K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 21 | 34 |
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Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.6 (#122), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1413 | 1166 |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, Mixtral 8x22B: 23.1 (#127)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 33.8 (#71), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1150 |
| Kagi LLM Benchmark | 75% | — |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122.03 |
| ForecastBench | — | 56.3 |
Math Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 38.6 (#134), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1407 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 39.2 (#137), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1401 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| Confabulations | 16.6% | — |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 39.6 (#58), Mixtral 8x22B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 52.9 (#76), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1419 | 1128 |
| LMArena Chinese | 1457 | 1116 |
| LMArena French | 1446 | 1166 |
| LMArena German | 1423 | 1141 |
| LMArena Japanese | 1405 | 1037 |
| LMArena Korean | 1396 | 1057 |
| LMArena Russian | 1429 | 1158 |
| LMArena Spanish | 1434 | 1151 |
Instruction Following Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 74.0 (#107), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1403 | 1147 |
| IFEval | — | 72.4% |
Long Context Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 43.1 (#107), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1413 | 1144 |
Writing & Preference Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 62.6 (#72), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Chatgpt 4o Latest 20250326 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1429 | 1162 |
| LMArena Creative Writing | 1405 | 1141 |
| LMArena Multi-Turn | 1454 | 1130 |
| EQ-Bench Creative Writing | 1501 | — |
| WildBench | — | 71.1% |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Mixtral 8x22B?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.8 to 27.1 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Mixtral 8x22B better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.6 versus 24.2 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Mixtral 8x22B share?
17 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Mixtral 8x22B has 34.