Model comparison
Mistral Large 4 vs Olmo 3.1 32b Think
Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
Mistral AI
Allen Institute for AI (Ai2)Summary
- They share 12 benchmarks with published results for both. Mistral Large 4 scores higher in 7 categories and Olmo 3.1 32b Think in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Mistral Large 4 leads 52.6 to 38.1.
- Olmo 3.1 32b Think has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Mistral AI | Allen Institute for AI (Ai2) |
| Noometry Index | 43.1 | 37.9 |
| Released | 2026-10-06 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.68 | — |
| Output $ / M tokens | $2.09 | — |
| Results tracked | 15 | 15 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | Mistral Large 4 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1475 | 1291 |
| LMArena WebDev | 1541 | — |
Reasoning Olmo 3.1 32b Think leads
Mistral Large 4: 22.5 (#192), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | Mistral Large 4 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1272 |
| NYT Connections (extended) | 27.4% | — |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | Mistral Large 4 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1488 | 1305 |
Knowledge Too close to call
Mistral Large 4: 36.6 (#166), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | Mistral Large 4 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1447 | 1295 |
| SimpleQA Verified | 20% | — |
Multilingual Mistral Large 4 leads
Mistral Large 4: 52.6 (#82), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | Mistral Large 4 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1415 | 1209 |
| LMArena Chinese | 1491 | 1242 |
| LMArena Russian | 1414 | 1193 |
| LMArena French | — | 1260 |
| LMArena German | — | 1262 |
| LMArena Spanish | — | 1289 |
Instruction Following Mistral Large 4 leads
Mistral Large 4: 75.0 (#76), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | Mistral Large 4 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1424 | 1247 |
Long Context Mistral Large 4 leads
Mistral Large 4: 43.6 (#89), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | Mistral Large 4 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1429 | 1272 |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | Mistral Large 4 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1427 | 1272 |
| LMArena Creative Writing | 1361 | 1226 |
| LMArena Multi-Turn | 1424 | 1252 |
Frequently asked questions
Is Mistral Large 4 better than Olmo 3.1 32b Think?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.9 on the Noometry Index.
Is Mistral Large 4 or Olmo 3.1 32b Think better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 37.7 in the Noometry coding category.
How many benchmarks do Mistral Large 4 and Olmo 3.1 32b Think share?
12 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Olmo 3.1 32b Think has 15.