Model comparison
Grok 4.5 vs Mistral Small 3.2
Grok 4.5 is the stronger model overall, scoring 55.0 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 23× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Grok 4.5 scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 18.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Grok 4.5 and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $2 / $6 for Grok 4.5.
- Grok 4.5 accepts more context: 500K tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.5 | Mistral Small 3.2 | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 55.0 | 31.2 |
| Released | 2026-07-08 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 500K | 256K |
| Max output | 500K | 16K |
| Input $ / M tokens | $2 | $0.0938 |
| Output $ / M tokens | $6 | $0.25 |
| Results tracked | 52 | 6 |
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Category by category
Coding Not comparable
Grok 4.5: 52.2 (#35), Mistral Small 3.2: —
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| DeepSWE | 53.8% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1553 | — |
| SciCode | 54.1% | — |
| WeirdML | 46.4% | — |
| LMArena Coding | 1474 | — |
| ALE-Bench | 1,309 | — |
Agentic & Tool Use Not comparable
Grok 4.5: 44.4 (#17), Mistral Small 3.2: —
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| APEX-Agents | 56.2% | — |
| τ²-bench Banking | 47.9% | — |
| PostTrainBench | 23.4% | — |
| GBAEval | 65.4% | — |
| GDP.pdf | 14% | — |
| LMArena Search | 1213 | — |
| Vending-Bench 2 | 3,887 | — |
Reasoning Grok 4.5 leads
Grok 4.5: 56.1 (#25), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 83.5% | 40.4% |
| Chess Puzzles | 36% | 1% |
| Epoch Capabilities Index | 153.92 | 131.74 |
| ARC-AGI-2 | 52.6% | — |
| SimpleBench | 70% | — |
| NYT Connections (extended) | 79.9% | — |
| ARC-AGI-1 | 87.2% | — |
| CritPt | 15.4% | — |
| LMArena Hard Prompts | 1462 | — |
| DTBench | 96.5% | — |
| LMCA | 45.2% | — |
| Surface Evolver Bench | 74.4% | — |
Math Grok 4.5 leads
Grok 4.5: 60.9 (#35), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.8% | 30.3% |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
| ProofBench | 31% | — |
| LMArena Math | 1459 | — |
Knowledge Grok 4.5 leads
Grok 4.5: 62.3 (#24), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 93.4% | 49.1% |
| SimpleQA Verified | 48.3% | — |
| LMArena Expert | 1466 | — |
Multimodal Not comparable
Grok 4.5: 37.6 (#72), Mistral Small 3.2: —
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1288 | — |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
| LMArena Document | 1452 | — |
Multilingual Not comparable
Grok 4.5: 54.4 (#42), Mistral Small 3.2: —
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1496 | — |
| LMArena French | 1456 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1428 | — |
| LMArena Korean | 1404 | — |
| LMArena Russian | 1448 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Not comparable
Grok 4.5: 76.0 (#48), Mistral Small 3.2: —
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1446 | — |
Long Context Not comparable
Grok 4.5: 44.8 (#56), Mistral Small 3.2: —
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1463 | — |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.8 (#42), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Grok 4.5 | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1579 | 1255 |
| LMArena Text | 1448 | — |
| LMArena Creative Writing | 1442 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is Grok 4.5 better than Mistral Small 3.2?
Grok 4.5 is the stronger model overall, scoring 55.0 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 23× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Which is cheaper, Grok 4.5 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; Grok 4.5 lists at $2 and $6.
Which has the bigger context window?
Grok 4.5 does, with 500K tokens against 256K.
How many benchmarks do Grok 4.5 and Mistral Small 3.2 share?
6 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and Mistral Small 3.2 has 6.