Model comparison
Grok 4.5 vs Mistral Medium 3.5
Grok 4.5 is the stronger model overall, scoring 55.0 to 39.6 on the Noometry Index.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. Grok 4.5 scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.0 to 16.6.
- The biggest single-benchmark swing is NYT Connections (extended): 79.9% for Grok 4.5 and 12.9% for Mistral Medium 3.5.
- Both cost about the same: $2 input and $6 output per million tokens.
- Grok 4.5 accepts more context: 500K tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.5 | Mistral Medium 3.5 | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 55.0 | 39.6 |
| Released | 2026-07-08 | — |
| Weights | Proprietary | Open |
| Context window | 500K | 262K |
| Max output | 500K | 210K |
| Input $ / M tokens | $2 | $1.50 |
| Output $ / M tokens | $6 | $7.50 |
| Results tracked | 52 | 22 |
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Category by category
Coding Grok 4.5 leads
Grok 4.5: 51.7 (#34), Mistral Medium 3.5: 35.7 (#208)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1552 | 1263 |
| LMArena Coding | 1473 | 1461 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.4% | — |
| SciCode | 54.1% | — |
| WeirdML | 46.4% | — |
| ALE-Bench | 1,309 | — |
Agentic & Tool Use Not comparable
Grok 4.5: 44.4 (#15), Mistral Medium 3.5: —
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| 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: 56.0 (#23), Mistral Medium 3.5: 16.6 (#290)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 83.5% | 41.4% |
| NYT Connections (extended) | 79.9% | 12.9% |
| LMArena Hard Prompts | 1462 | 1436 |
| Epoch Capabilities Index | 154.02 | 141.42 |
| ARC-AGI-2 | 52.6% | — |
| SimpleBench | 70% | — |
| ARC-AGI-1 | 87.2% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 36% | — |
| DTBench | 96.5% | — |
| LMCA | 45.2% | — |
| Surface Evolver Bench | 74.4% | — |
Math Grok 4.5 leads
Grok 4.5: 60.7 (#29), Mistral Medium 3.5: 36.4 (#113)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1457 | 1432 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 31% | — |
Knowledge Grok 4.5 leads
Grok 4.5: 62.3 (#21), Mistral Medium 3.5: 39.3 (#123)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1466 | 1431 |
| GPQA Diamond | 93.4% | — |
| SimpleQA Verified | 48.3% | — |
Multimodal Too close to call
Grok 4.5: 37.8 (#63), Mistral Medium 3.5: 37.6 (#64)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1287 | 1222 |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
| LMArena Document | 1452 | — |
Multilingual Grok 4.5 leads
Grok 4.5: 54.5 (#43), Mistral Medium 3.5: 52.1 (#93)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1439 | 1405 |
| LMArena Chinese | 1497 | 1443 |
| LMArena French | 1458 | 1448 |
| LMArena German | 1448 | 1453 |
| LMArena Korean | 1402 | 1387 |
| LMArena Russian | 1447 | 1396 |
| LMArena Spanish | 1452 | 1406 |
| LMArena Japanese | 1425 | — |
Instruction Following Grok 4.5 leads
Grok 4.5: 76.3 (#45), Mistral Medium 3.5: 74.7 (#87)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1446 | 1414 |
Long Context Grok 4.5 leads
Grok 4.5: 44.8 (#54), Mistral Medium 3.5: 43.2 (#101)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1463 | 1414 |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.9 (#40), Mistral Medium 3.5: 58.6 (#113)
| Benchmark | Grok 4.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1448 | 1421 |
| LMArena Creative Writing | 1442 | 1372 |
| LMArena Multi-Turn | 1457 | 1423 |
| EQ-Bench Creative Writing | 1579 | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Grok 4.5 better than Mistral Medium 3.5?
Grok 4.5 is the stronger model overall, scoring 55.0 to 39.6 on the Noometry Index.
Which is cheaper, Grok 4.5 or Mistral Medium 3.5?
Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Grok 4.5 lists at $2 and $6.
Is Grok 4.5 or Mistral Medium 3.5 better for coding?
Grok 4.5 scores higher on coding benchmarks: 51.7 versus 35.7 in the Noometry coding category.
Which has the bigger context window?
Grok 4.5 does, with 500K tokens against 262K.
How many benchmarks do Grok 4.5 and Mistral Medium 3.5 share?
21 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and Mistral Medium 3.5 has 22.