Model comparison
Mistral Nemo vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 26.4 on the Noometry Index. Mistral Nemo costs 233× 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 Nemo scores higher in 0 categories and o3-pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o3-pro leads 57.1 to 28.5.
- The biggest single-benchmark swing is DTBench: 48.6% for Mistral Nemo and 86.9% for o3-pro.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Mistral Nemo | o3-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 26.4 | 42.9 |
| Released | 2024-07-01 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 128K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.15 | $20 |
| Output $ / M tokens | $0.15 | $80 |
| Results tracked | 10 | 12 |
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Category by category
Coding Not comparable
Mistral Nemo: —, o3-pro: 55.5 (#24)
| Benchmark | Mistral Nemo | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
Agentic & Tool Use Not comparable
Mistral Nemo: 23.5 (#125), o3-pro: —
| Benchmark | Mistral Nemo | o3-pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning o3-pro leads
Mistral Nemo: 20.7 (#232), o3-pro: 23.8 (#171)
| Benchmark | Mistral Nemo | o3-pro |
|---|---|---|
| DTBench | 48.6% | 86.9% |
| Epoch Capabilities Index | 118.68 | 147.42 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMCA | — | 38.5% |
| PIQA | 83.5% | — |
Math Not comparable
Mistral Nemo: 25.5 (#268), o3-pro: —
| Benchmark | Mistral Nemo | o3-pro |
|---|---|---|
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge o3-pro leads
Mistral Nemo: 12.3 (#298), o3-pro: 29.5 (#238)
| Benchmark | Mistral Nemo | o3-pro |
|---|---|---|
| GPQA Diamond | 29.9% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| BoolQ | 82.5% | — |
Long Context Not comparable
Mistral Nemo: —, o3-pro: 72.2 (#1)
| Benchmark | Mistral Nemo | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
Writing & Preference o3-pro leads
Mistral Nemo: 28.5 (#296), o3-pro: 57.1 (#133)
| Benchmark | Mistral Nemo | o3-pro |
|---|---|---|
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 881 | — |
Frequently asked questions
Is Mistral Nemo better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 26.4 on the Noometry Index. Mistral Nemo costs 233× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or o3-pro?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; o3-pro lists at $20 and $80.
Which has the bigger context window?
o3-pro does, with 200K tokens against 128K.
How many benchmarks do Mistral Nemo and o3-pro share?
2 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and o3-pro has 12.