Model comparison
Mistral Large 3 vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 39.1 on the Noometry Index. Mistral Large 3 costs 93× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Mistral Large 3 scores higher in 2 categories and o3-pro in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 43.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 50.9% for Mistral Large 3 and 72.1% for o3-pro.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $20 / $80 for o3-pro.
- Mistral Large 3 accepts more context: 262K tokens versus 200K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 3 | o3-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 39.1 | 42.9 |
| Released | 2025-12-02 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 8K | 100K |
| Input $ / M tokens | $0.25 | $20 |
| Output $ / M tokens | $0.75 | $80 |
| Results tracked | 24 | 12 |
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Category by category
Coding o3-pro leads
Mistral Large 3: 34.4 (#237), o3-pro: 55.5 (#24)
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1230 | — |
| WeirdML | — | 58.2% |
| LMArena Coding | 1448 | — |
Reasoning o3-pro leads
Mistral Large 3: 15.2 (#319), o3-pro: 23.8 (#171)
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| Kagi LLM Benchmark | 50.9% | 72.1% |
| ARC-AGI-2 | — | 4.9% |
| NYT Connections (extended) | 7.5% | — |
| ARC-AGI-1 | — | 59.3% |
| Thematic Generalization | 23% | — |
| LMArena Hard Prompts | 1429 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Mistral Large 3: 38.7 (#129), o3-pro: —
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| LMArena Math | 1414 | — |
Knowledge Mistral Large 3 leads
Mistral Large 3: 36.0 (#177), o3-pro: 29.5 (#238)
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 14.5% | 23.3% |
| Confabulations | — | 14.2% |
| LMArena Expert | 1421 | — |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), o3-pro: —
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Not comparable
Mistral Large 3: 52.5 (#84), o3-pro: —
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| LMArena Non-English | 1413 | — |
| LMArena Chinese | 1447 | — |
| LMArena French | 1455 | — |
| LMArena German | 1437 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1440 | — |
Instruction Following Not comparable
Mistral Large 3: 74.0 (#108), o3-pro: —
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1403 | — |
Long Context o3-pro leads
Mistral Large 3: 43.1 (#105), o3-pro: 72.2 (#1)
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1413 | — |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.0 (#101), o3-pro: 57.1 (#133)
| Benchmark | Mistral Large 3 | o3-pro |
|---|---|---|
| LMArena Text | 1428 | — |
| LMArena Creative Writing | 1386 | — |
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 1412 | — |
| LMArena Multi-Turn | 1429 | — |
Frequently asked questions
Is Mistral Large 3 better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 39.1 on the Noometry Index. Mistral Large 3 costs 93× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 3 or o3-pro?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; o3-pro lists at $20 and $80.
Is Mistral Large 3 or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 200K.
How many benchmarks do Mistral Large 3 and o3-pro share?
2 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and o3-pro has 12.