Model comparison
Mistral Nemo vs o3
o3 is the stronger model overall, scoring 47.5 to 26.4 on the Noometry Index. Mistral Nemo costs 23× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Mistral AISummary
- They share 6 benchmarks with published results for both. Mistral Nemo scores higher in 0 categories and o3 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3 leads 54.6 to 12.3.
- The biggest single-benchmark swing is MATH Level 5: 10.8% for Mistral Nemo and 97.8% for o3.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $2 / $8 for o3.
- o3 accepts more context: 200K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Mistral Nemo | o3 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 26.4 | 47.5 |
| Released | 2024-07-01 | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | 128K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.15 | $2 |
| Output $ / M tokens | $0.15 | $8 |
| Results tracked | 10 | 63 |
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Category by category
Coding Not comparable
Mistral Nemo: —, o3: 46.8 (#64)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| LMArena Coding | — | 1408 |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
Agentic & Tool Use o3 leads
Mistral Nemo: 23.5 (#125), o3: 34.5 (#44)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| BALROG | 17.6% | — |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |
Reasoning o3 leads
Mistral Nemo: 20.7 (#232), o3: 32.0 (#78)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| DTBench | 48.6% | 84.8% |
| Epoch Capabilities Index | 118.68 | 146.86 |
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| LMArena Hard Prompts | — | 1402 |
| Mystery Game Puzzles | — | 29% |
| LMCA | — | 39.7% |
| ForecastBench | — | 62.5 |
| PIQA | 83.5% | — |
Math o3 leads
Mistral Nemo: 25.5 (#268), o3: 50.2 (#58)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| MATH Level 5 | 10.8% | 97.8% |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | — | 71.4% |
| LMArena Math | — | 1426 |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
| GSM8K | 84.2% | — |
Knowledge o3 leads
Mistral Nemo: 12.3 (#298), o3: 54.6 (#52)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| GPQA Diamond | 29.9% | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
| LMArena Expert | — | 1402 |
| BoolQ | 82.5% | — |
Multimodal Not comparable
Mistral Nemo: —, o3: 41.4 (#36)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual Not comparable
Mistral Nemo: —, o3: 51.7 (#105)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| LMArena Non-English | — | 1401 |
| LMArena Chinese | — | 1437 |
| LMArena French | — | 1430 |
| LMArena German | — | 1420 |
| LMArena Japanese | — | 1403 |
| LMArena Korean | — | 1370 |
| LMArena Russian | — | 1406 |
| LMArena Spanish | — | 1395 |
Instruction Following Not comparable
Mistral Nemo: —, o3: 72.8 (#127)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| IFEval | — | 86.9% |
| LMArena Instruction Following | — | 1368 |
Long Context Not comparable
Mistral Nemo: —, o3: 53.3 (#6)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
| LMArena Longer Query | — | 1372 |
Writing & Preference o3 leads
Mistral Nemo: 28.5 (#296), o3: 63.5 (#64)
| Benchmark | Mistral Nemo | o3 |
|---|---|---|
| EQ-Bench Creative Writing | 881 | 1676 |
| LMArena Text | — | 1410 |
| LMArena Creative Writing | — | 1359 |
| Short-Story Creative Writing | — | 83.9% |
| WildBench | — | 86.1% |
| LMArena Multi-Turn | — | 1405 |
Frequently asked questions
Is Mistral Nemo better than o3?
o3 is the stronger model overall, scoring 47.5 to 26.4 on the Noometry Index. Mistral Nemo costs 23× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or o3?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; o3 lists at $2 and $8.
Which has the bigger context window?
o3 does, with 200K tokens against 128K.
How many benchmarks do Mistral Nemo and o3 share?
6 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and o3 has 63.