Model comparison
Mistral 7B vs Olmo 3 32b Think
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 23.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Olmo 3 32b Think in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 3 32b Think leads 36.5 to 8.1.
Side by side
| Mistral 7B | Olmo 3 32b Think | |
|---|---|---|
| Provider | Mistral AI | Allen Institute for AI (Ai2) |
| Noometry Index | 23.0 | 38.7 |
| 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 | 14 |
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Category by category
Coding Olmo 3 32b Think leads
Mistral 7B: 26.4 (#326), Olmo 3 32b Think: 38.6 (#172)
| Benchmark | Mistral 7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1082 | 1319 |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Olmo 3 32b Think leads
Mistral 7B: 13.1 (#336), Olmo 3 32b Think: 25.9 (#140)
| Benchmark | Mistral 7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1067 | 1302 |
| 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 32b Think leads
Mistral 7B: 8.1 (#325), Olmo 3 32b Think: 36.5 (#165)
| Benchmark | Mistral 7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1085 | 1316 |
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Olmo 3 32b Think leads
Mistral 7B: 7.4 (#311), Olmo 3 32b Think: 35.0 (#190)
| Benchmark | Mistral 7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1036 | 1273 |
| GPQA Diamond | 15.2% | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Olmo 3 32b Think leads
Mistral 7B: 25.8 (#283), Olmo 3 32b Think: 41.2 (#210)
| Benchmark | Mistral 7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1012 | 1255 |
| LMArena Chinese | 1009 | 1300 |
| LMArena French | 1037 | 1291 |
| LMArena German | 987 | 1290 |
| LMArena Russian | 1018 | 1254 |
| LMArena Japanese | 878 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Olmo 3 32b Think leads
Mistral 7B: 54.2 (#280), Olmo 3 32b Think: 67.2 (#198)
| Benchmark | Mistral 7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1060 | 1275 |
Long Context Olmo 3 32b Think leads
Mistral 7B: 32.2 (#271), Olmo 3 32b Think: 39.4 (#182)
| Benchmark | Mistral 7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1060 | 1296 |
Writing & Preference Olmo 3 32b Think leads
Mistral 7B: 30.7 (#286), Olmo 3 32b Think: 49.1 (#193)
| Benchmark | Mistral 7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1090 | 1300 |
| LMArena Creative Writing | 1068 | 1256 |
| LMArena Multi-Turn | 1062 | 1290 |
Frequently asked questions
Is Mistral 7B better than Olmo 3 32b Think?
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 23.0 on the Noometry Index.
Is Mistral 7B or Olmo 3 32b Think better for coding?
Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 26.4 in the Noometry coding category.
How many benchmarks do Mistral 7B and Olmo 3 32b Think share?
14 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Olmo 3 32b Think has 14.