Model comparison
Grok 4.7 vs Mistral Medium 3.5
Grok 4.7 is the stronger model overall, scoring 53.1 to 40.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
Mistral AISummary
- They share 18 benchmarks with published results for both. Grok 4.7 scores higher in 5 categories and Mistral Medium 3.5 in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.7 leads 49.1 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 76.8% for Grok 4.7 and 12.9% for Mistral Medium 3.5.
- Both cost about the same: $2 input and $6 output per million tokens.
- Grok 4.7 accepts more context: 500K tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.7 | Mistral Medium 3.5 | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 53.1 | 40.2 |
| Released | 2026-09-21 | — |
| 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 | 39 | 22 |
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Category by category
Coding Grok 4.7 leads
Grok 4.7: 58.0 (#18), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1639 | 1264 |
| LMArena Coding | 1427 | 1461 |
| FrontierCode | 47.6% | — |
| CursorBench | 46.3% | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.8% | — |
Agentic & Tool Use Not comparable
Grok 4.7: 36.7 (#37), Mistral Medium 3.5: —
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| APEX-Agents | 54.6% | — |
| GDP.pdf | 22.8% | — |
| Vending-Bench 2 | 10,537 | — |
Reasoning Grok 4.7 leads
Grok 4.7: 49.1 (#40), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| NYT Connections (extended) | 76.8% | 12.9% |
| LMArena Hard Prompts | 1413 | 1436 |
| Epoch Capabilities Index | 153.53 | 141.35 |
| Kagi LLM Benchmark | — | 41.4% |
| CritPt | 18% | — |
| Chess Puzzles | 38% | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 96% | — |
| LMCA | 49.4% | — |
Math Grok 4.7 leads
Grok 4.7: 57.8 (#39), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1407 | 1431 |
| FrontierMath (Tiers 1-3) | 53% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 98.1% | — |
| ProofBench | 34% | — |
Knowledge Grok 4.7 leads
Grok 4.7: 62.8 (#22), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1422 | 1432 |
| GPQA Diamond | 92.7% | — |
| SimpleQA Verified | 56% | — |
Multimodal Mistral Medium 3.5 leads
Grok 4.7: 35.5 (#87), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1228 | 1223 |
| Blueprint-Bench 2 | 32.5% | — |
| Furniture Assembly | 20.8% | — |
Multilingual Mistral Medium 3.5 leads
Grok 4.7: 50.8 (#116), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1389 | 1404 |
| LMArena Chinese | 1455 | 1442 |
| LMArena French | 1455 | 1448 |
| LMArena Russian | 1397 | 1395 |
| LMArena Spanish | 1400 | 1409 |
| LMArena German | — | 1451 |
| LMArena Korean | — | 1385 |
Instruction Following Too close to call
Grok 4.7: 74.1 (#105), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1415 |
Long Context Too close to call
Grok 4.7: 43.1 (#104), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1413 | 1415 |
Writing & Preference Grok 4.7 leads
Grok 4.7: 70.0 (#24), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1399 | 1421 |
| LMArena Creative Writing | 1391 | 1374 |
| LMArena Multi-Turn | 1393 | 1423 |
| EQ-Bench Creative Writing | 2007 | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Grok 4.7 better than Mistral Medium 3.5?
Grok 4.7 is the stronger model overall, scoring 53.1 to 40.2 on the Noometry Index.
Which is cheaper, Grok 4.7 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 4.7 lists at $2 and $6.
Is Grok 4.7 or Mistral Medium 3.5 better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 262K.
How many benchmarks do Grok 4.7 and Mistral Medium 3.5 share?
18 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Mistral Medium 3.5 has 22.