Model comparison
Mistral 7B vs Olmo 3.1 32b Think
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 23.0 on the Noometry Index.
Last verified . 15 shared benchmarks.
Mistral AI
Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Olmo 3.1 32b Think in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Olmo 3.1 32b Think leads 35.7 to 7.4.
Side by side
| Mistral 7B | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Mistral AI | Allen Institute for AI (Ai2) |
| Noometry Index | 23.0 | 37.9 |
| Released | 2023-09-27 | — |
| Weights | Open | Open |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 37 | 15 |
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Category by category
Coding Olmo 3.1 32b Think leads
Mistral 7B: 26.4 (#326), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | Mistral 7B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1082 | 1291 |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Olmo 3.1 32b Think leads
Mistral 7B: 13.1 (#336), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | Mistral 7B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1067 | 1272 |
| Chess Puzzles | 0% | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Olmo 3.1 32b Think leads
Mistral 7B: 8.1 (#325), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | Mistral 7B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1085 | 1305 |
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Olmo 3.1 32b Think leads
Mistral 7B: 7.4 (#311), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | Mistral 7B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1036 | 1295 |
| GPQA Diamond | 15.2% | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Olmo 3.1 32b Think leads
Mistral 7B: 25.8 (#283), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | Mistral 7B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1012 | 1209 |
| LMArena Chinese | 1009 | 1242 |
| LMArena French | 1037 | 1260 |
| LMArena German | 987 | 1262 |
| LMArena Russian | 1018 | 1193 |
| LMArena Spanish | 1026 | 1289 |
| LMArena Japanese | 878 | — |
Instruction Following Olmo 3.1 32b Think leads
Mistral 7B: 54.2 (#280), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | Mistral 7B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1060 | 1247 |
Long Context Olmo 3.1 32b Think leads
Mistral 7B: 32.2 (#271), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | Mistral 7B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1060 | 1272 |
Writing & Preference Olmo 3.1 32b Think leads
Mistral 7B: 30.7 (#286), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | Mistral 7B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1090 | 1272 |
| LMArena Creative Writing | 1068 | 1226 |
| LMArena Multi-Turn | 1062 | 1252 |
Frequently asked questions
Is Mistral 7B better than Olmo 3.1 32b Think?
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 23.0 on the Noometry Index.
Is Mistral 7B or Olmo 3.1 32b Think better for coding?
Olmo 3.1 32b Think scores higher on coding benchmarks: 37.7 versus 26.4 in the Noometry coding category.
How many benchmarks do Mistral 7B and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Olmo 3.1 32b Think has 15.