Model comparison
Mistral Large 4 vs o3-pro
Mistral Large 4 and o3-pro score almost the same on the Noometry Index (43.1 vs 42.9), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in long context, where o3-pro leads 72.2 to 43.6.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $20 / $80 for o3-pro.
- Mistral Large 4 accepts more context: 1.05M tokens versus 200K.
Side by side
| Mistral Large 4 | o3-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 43.1 | 42.9 |
| Released | 2026-10-06 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 262K | 100K |
| Input $ / M tokens | $0.68 | $20 |
| Output $ / M tokens | $2.09 | $80 |
| Results tracked | 15 | 12 |
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Category by category
Coding o3-pro leads
Mistral Large 4: 48.6 (#57), o3-pro: 55.5 (#24)
| Benchmark | Mistral Large 4 | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1541 | — |
| WeirdML | — | 58.2% |
| LMArena Coding | 1475 | — |
Reasoning o3-pro leads
Mistral Large 4: 22.5 (#192), o3-pro: 23.8 (#171)
| Benchmark | Mistral Large 4 | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 27.4% | — |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1444 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Mistral Large 4: 40.4 (#91), o3-pro: —
| Benchmark | Mistral Large 4 | o3-pro |
|---|---|---|
| LMArena Math | 1488 | — |
Knowledge Mistral Large 4 leads
Mistral Large 4: 36.6 (#166), o3-pro: 29.5 (#238)
| Benchmark | Mistral Large 4 | o3-pro |
|---|---|---|
| SimpleQA Verified | 20% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1447 | — |
Multilingual Not comparable
Mistral Large 4: 52.6 (#82), o3-pro: —
| Benchmark | Mistral Large 4 | o3-pro |
|---|---|---|
| LMArena Non-English | 1415 | — |
| LMArena Chinese | 1491 | — |
| LMArena Russian | 1414 | — |
Instruction Following Not comparable
Mistral Large 4: 75.0 (#76), o3-pro: —
| Benchmark | Mistral Large 4 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1424 | — |
Long Context o3-pro leads
Mistral Large 4: 43.6 (#89), o3-pro: 72.2 (#1)
| Benchmark | Mistral Large 4 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1429 | — |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), o3-pro: 57.1 (#133)
| Benchmark | Mistral Large 4 | o3-pro |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1361 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1424 | — |
Frequently asked questions
Is Mistral Large 4 better than o3-pro?
Mistral Large 4 and o3-pro score almost the same on the Noometry Index (43.1 vs 42.9), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large 4 or o3-pro?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; o3-pro lists at $20 and $80.
Is Mistral Large 4 or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 48.6 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 200K.
How many benchmarks do Mistral Large 4 and o3-pro share?
0 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and o3-pro has 12.