Model comparison
Mistral Small 3 vs o1
o1 is the stronger model overall, scoring 40.9 to 31.2 on the Noometry Index. Mistral Small 3 costs 457× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Mistral Small 3 scores higher in 0 categories and o1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o1 leads 55.6 to 32.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.7% for Mistral Small 3 and 73.3% for o1.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $15 / $60 for o1.
- o1 accepts more context: 200K tokens versus 33K.
- Mistral Small 3 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3 | o1 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 31.2 | 40.9 |
| Released | 2025-01-30 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 33K | 200K |
| Max output | 16K | 100K |
| Input $ / M tokens | $0.05 | $15 |
| Output $ / M tokens | $0.08 | $60 |
| Results tracked | 24 | 52 |
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Category by category
Coding o1 leads
Mistral Small 3: 36.5 (#207), o1: 46.1 (#70)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| LMArena Coding | 1246 | 1367 |
| Aider Polyglot | — | 61.7% |
| WeirdML | — | 47.6% |
| BigCodeBench Instruct | 45.3% | — |
| LiveBench Coding | — | 69.7% |
| BigCodeBench Complete | 50.4% | — |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use Not comparable
Mistral Small 3: —, o1: 24.6 (#117)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
Mistral Small 3: 18.9 (#273), o1: 27.9 (#111)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| Chess Puzzles | 0% | 15% |
| LMArena Hard Prompts | 1233 | 1371 |
| Epoch Capabilities Index | 127.07 | 141.91 |
| SimpleBench | — | 41.7% |
| ARC-AGI-1 | — | 30.7% |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| DTBench | — | 74.7% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| LiveBench | — | 75.7% |
Math o1 leads
Mistral Small 3: 16.3 (#295), o1: 36.1 (#175)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.7% | 73.3% |
| LMArena Math | 1240 | 1388 |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |
Knowledge o1 leads
Mistral Small 3: 25.1 (#263), o1: 41.5 (#110)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| GPQA Diamond | 47.3% | 76.8% |
| Confabulations | 25.2% | 11.7% |
| LMArena Expert | 1202 | 1361 |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
Multimodal Not comparable
Mistral Small 3: —, o1: 34.2 (#93)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual o1 leads
Mistral Small 3: 37.3 (#236), o1: 48.6 (#142)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| LMArena Non-English | 1198 | 1358 |
| LMArena Chinese | 1204 | 1394 |
| LMArena French | 1203 | 1344 |
| LMArena German | 1211 | 1337 |
| LMArena Japanese | 1111 | 1346 |
| LMArena Korean | 1188 | 1396 |
| LMArena Russian | 1216 | 1356 |
| LMArena Spanish | — | 1345 |
Instruction Following o1 leads
Mistral Small 3: 63.7 (#229), o1: 74.8 (#86)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| LMArena Instruction Following | 1214 | 1367 |
| LiveBench Instruction Following | — | 81.5% |
Long Context o1 leads
Mistral Small 3: 37.8 (#211), o1: 50.3 (#9)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| LMArena Longer Query | 1246 | 1378 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference o1 leads
Mistral Small 3: 32.2 (#280), o1: 55.6 (#144)
| Benchmark | Mistral Small 3 | o1 |
|---|---|---|
| LMArena Text | 1234 | 1366 |
| LMArena Creative Writing | 1195 | 1348 |
| LMArena Multi-Turn | 1217 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 707 | — |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Mistral Small 3 better than o1?
o1 is the stronger model overall, scoring 40.9 to 31.2 on the Noometry Index. Mistral Small 3 costs 457× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3 or o1?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; o1 lists at $15 and $60.
Is Mistral Small 3 or o1 better for coding?
o1 scores higher on coding benchmarks: 46.1 versus 36.5 in the Noometry coding category.
Which has the bigger context window?
o1 does, with 200K tokens against 33K.
How many benchmarks do Mistral Small 3 and o1 share?
21 benchmarks have published results for both models. Mistral Small 3 has 24 scored results on Noometry and o1 has 52.