Model comparison
Mistral Large 4 vs Mistral Small 3.2
Mistral Large 4 is the stronger model overall, scoring 43.1 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.8× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in writing & preference, where Mistral Large 4 leads 60.4 to 45.0.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Mistral Small 3.2 | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 43.1 | 31.2 |
| Released | 2026-10-06 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 256K |
| Max output | 262K | 16K |
| Input $ / M tokens | $0.68 | $0.0938 |
| Output $ / M tokens | $2.09 | $0.25 |
| Results tracked | 15 | 6 |
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Category by category
Coding Not comparable
Mistral Large 4: 48.6 (#57), Mistral Small 3.2: —
| Benchmark | Mistral Large 4 | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1541 | — |
| LMArena Coding | 1475 | — |
Reasoning Mistral Large 4 leads
Mistral Large 4: 22.5 (#192), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Mistral Large 4 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 27.4% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1444 | — |
| Epoch Capabilities Index | — | 131.74 |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Mistral Large 4 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1488 | — |
Knowledge Mistral Large 4 leads
Mistral Large 4: 36.6 (#166), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Mistral Large 4 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| SimpleQA Verified | 20% | — |
| LMArena Expert | 1447 | — |
Multilingual Not comparable
Mistral Large 4: 52.6 (#82), Mistral Small 3.2: —
| Benchmark | Mistral Large 4 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1415 | — |
| LMArena Chinese | 1491 | — |
| LMArena Russian | 1414 | — |
Instruction Following Not comparable
Mistral Large 4: 75.0 (#76), Mistral Small 3.2: —
| Benchmark | Mistral Large 4 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1424 | — |
Long Context Not comparable
Mistral Large 4: 43.6 (#89), Mistral Small 3.2: —
| Benchmark | Mistral Large 4 | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1429 | — |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Mistral Large 4 | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1361 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1424 | — |
Frequently asked questions
Is Mistral Large 4 better than Mistral Small 3.2?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.8× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 4 or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 256K.
How many benchmarks do Mistral Large 4 and Mistral Small 3.2 share?
0 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Mistral Small 3.2 has 6.