Grok 4.7 vs Mistral Medium 3
Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding.
Mistral Medium 3 has the edge where output tokens cost 3.0x less, and where the benchmark that matters is LMArena Text: German, where it leads.
- Shared results
- 46
- Grok 4.7 only
- 53
- Mistral Medium 3 only
- 11
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Grok 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 against 9.0.
Same board, both measured
Web design
Design Arena: websites
Grok 4.7
Grok 4.7 leads, 1254 against 1079.
Same board, both measured
General
Vals Index
No call
Only Grok 4.7 has a Vals Index result, 58.6%.
Directional only
Long documents
Listed context window
Grok 4.7
Grok 4.7 takes 500K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Medium 3
Grok 4.7 $0.0050, Mistral Medium 3 $0.0014 per turn.
List prices
At a glance
- Coding index
- Grok 4.7 66.7 from 5 benchmarks, Mistral Medium 3 not benchmarked.
- Widest category
- Intelligence, 31.4 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Grok 4.7 80.0% against Mistral Medium 3 31.3%, 48.7 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Mistral Medium 3 $2.00 per million output tokens, 3.0x apart.
- Context window
- Grok 4.7 takes 500K tokens, Mistral Medium 3 131K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Grok 4.7 | Bars | Mistral Medium 3 | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 6 | 0 | ||
| General | 23 | 1 | ||
| All shared boards | 45 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | Not measured | Only Grok 4.7 measured |
| Terminal-Bench 4 (Vals AI) | 28.8% | Not measured | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | 86.2% | Not measured | Only Grok 4.7 measured |
| Code migration (Vals AI) | 44.8% | Not measured | Only Grok 4.7 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Grok 4.7 measured |
| IOI (Vals AI) | 57.7% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 73.4% | Not measured | Only Grok 4.7 measured |
| SWE-bench Multimodal (Vals AI) | 42.9% | Not measured | Only Grok 4.7 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Grok 4.7 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 40.0% | Only Mistral Medium 3 measured |
| SciCode | 57.8% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 3.8% | Only Mistral Medium 3 measured |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| LMArena Text: coding | 1432 | 1385 | Grok 4.7 |
| LMArena Text: software and IT | 1421 | 1385 | Grok 4.7 |
| LMArena WebDev: React | 1663 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: HTML | 1627 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | 9.0 | Grok 4.7 |
| Epoch Capabilities Index | 154.4 | 134.0 | Grok 4.7 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| LiveBench research | 86.4% | Not measured | Only Grok 4.7 measured |
| LiveBench browser | 60.0% | Not measured | Only Grok 4.7 measured |
| LiveBench long agentic | 50.1% | Not measured | Only Grok 4.7 measured |
| SREBench (Vals AI) | 3.8% | Not measured | Only Grok 4.7 measured |
| Finance Agent (Vals AI) | 52.3% | Not measured | Only Grok 4.7 measured |
| Tax Agent Bench (Vals AI) | 34.2% | Not measured | Only Grok 4.7 measured |
| Legal Research Bench (Vals AI) | 47.1% | Not measured | Only Grok 4.7 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | Not measured | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 67.0% | Not measured | Only Grok 4.7 measured |
| BioMysteryBench (Vals AI) | 69.3% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | Not measured | Only Grok 4.7 measured |
| Vals Science Index | 34.8% | Not measured | Only Grok 4.7 measured |
| Robo-bench (Vals AI) | 0.2% | Not measured | Only Grok 4.7 measured |
| τ²-Bench Telecom | Not measured | 24.3% | Only Mistral Medium 3 measured |
| APEX-Agents | 54.6% | Not measured | Only Grok 4.7 measured |
| Vending-Bench 2 | $10,537 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| LiveBench reasoning | 82.7% | Not measured | Only Grok 4.7 measured |
| MysteryMechanism (Vals AI) | 25.2% | Not measured | Only Grok 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 57.8% | Only Mistral Medium 3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 4.1% | Grok 4.7 |
| GPQA Diamond (Epoch AI run) | 92.7% | Not measured | Only Grok 4.7 measured |
| ARC-AGI | 90.2% | Not measured | Only Grok 4.7 measured |
| ARC-AGI-2 | 61.4% | Not measured | Only Grok 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Grok 4.7 measured |
| Mystery game puzzles | 29.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts | 1415 | 1364 | Grok 4.7 |
| LMArena Text: expert | 1439 | 1342 | Grok 4.7 |
| LMArena Text: hard prompts in English | 1427 | 1374 | Grok 4.7 |
| LMArena Vision: diagrams | 1254 | 1155 | Grok 4.7 |
| LMArena Vision: homework | 1309 | 1165 | Grok 4.7 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 30.3 | Only Mistral Medium 3 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 30.3% | Only Mistral Medium 3 measured |
| OTIS Mock AIME | 98.1% | Not measured | Only Grok 4.7 measured |
| FrontierMath, tiers 1 to 3 | 53.0% | Not measured | Only Grok 4.7 measured |
| FrontierMath, tier 4 | 17.1% | Not measured | Only Grok 4.7 measured |
| ProofBench | 26.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: math | 1414 | 1353 | Grok 4.7 |
| LMArena Text: mathematical work | 1435 | 1354 | Grok 4.7 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 84.4% | Not measured | Only Grok 4.7 measured |
| MedCode (Vals AI) | 49.5% | Not measured | Only Grok 4.7 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 76.0% | Only Mistral Medium 3 measured |
| SimpleQA Verified | 56.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1419 | 1381 | Grok 4.7 |
| LMArena Text: medicine and healthcare | 1395 | 1381 | Grok 4.7 |
| LMArena Text: legal and government | 1423 | 1384 | Grok 4.7 |
| LMArena Text: business and finance | 1389 | 1352 | Grok 4.7 |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1254 | 1079 | Grok 4.7 |
| Design Arena: UI components | 1273 | 1024 | Grok 4.7 |
| Design Arena: game dev | 1312 | 1018 | Grok 4.7 |
| Design Arena: data viz | 1235 | 1034 | Grok 4.7 |
| Design Arena: 3D | 1270 | 1083 | Grok 4.7 |
| Design Arena: all code categories | 1271 | 1069 | Grok 4.7 |
| LiveBench design | 78.0% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index231
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| Vals Index | 58.6% | Not measured | Only Grok 4.7 measured |
| LiveBench data analysis | 76.9% | Not measured | Only Grok 4.7 measured |
| Public Benefits Bench (Vals AI) | 65.6% | Not measured | Only Grok 4.7 measured |
| SAGE (Vals AI) | 40.8% | Not measured | Only Grok 4.7 measured |
| MedScribe (Vals AI) | 89.4% | Not measured | Only Grok 4.7 measured |
| IFBench | Not measured | 39.3% | Only Mistral Medium 3 measured |
| Long context reasoning (AA-LCR) | 80.0% | 31.3% | Grok 4.7 |
| DTBench | 96.0% | 62.3% | Grok 4.7 |
| LMCA | 49.4% | Not measured | Only Grok 4.7 measured |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | 1370 | Grok 4.7 |
| LMArena Text: instruction following | 1406 | 1338 | Grok 4.7 |
| LMArena Text: creative writing | 1381 | 1343 | Grok 4.7 |
| LMArena Vision | 1231 | 1157 | Grok 4.7 |
| LMArena Text: English | 1411 | 1385 | Grok 4.7 |
| LMArena Text: non-English | 1386 | 1353 | Grok 4.7 |
| LMArena Text: Chinese | 1449 | 1374 | Grok 4.7 |
| LMArena Text: German | 1366 | 1377 | Mistral Medium 3 |
| LMArena Text: Japanese | 1359 | 1316 | Grok 4.7 |
| LMArena Text: Korean | 1383 | 1304 | Grok 4.7 |
| LMArena Text: French | 1431 | 1368 | Grok 4.7 |
| LMArena Text: Spanish | 1406 | 1364 | Grok 4.7 |
| LMArena Text: Russian | 1399 | 1359 | Grok 4.7 |
| LMArena Text: Polish | 1420 | 1371 | Grok 4.7 |
| LMArena Text: multi-turn | 1394 | 1384 | Grok 4.7 |
| LMArena Text: longer queries | 1416 | 1360 | Grok 4.7 |
| LMArena Text: writing and language | 1394 | 1352 | Grok 4.7 |
| LMArena Text: entertainment and media | 1376 | 1335 | Grok 4.7 |
| LMArena Vision: English | 1229 | 1172 | Grok 4.7 |
| LMArena Vision: Chinese | 1250 | 1161 | Grok 4.7 |
| LMArena Vision: reading text | 1241 | 1154 | Grok 4.7 |
| LMArena Vision: humor | Not measured | 1145 | Only Mistral Medium 3 measured |
| LMArena Vision: captioning | Not measured | 1094 | Only Mistral Medium 3 measured |
| LMArena Vision: recognizing things | Not measured | 1141 | Only Mistral Medium 3 measured |
| LMArena Vision: creative writing | 1217 | 1146 | Grok 4.7 |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | Mistral Medium 3 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Mistral Medium 3 costs less
Repository review
50K input + 3K output tokens
Mistral Medium 3 costs less
Agent loop
200K input + 10K output tokens
Mistral Medium 3 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | SpaceXAI Grok 4.7 | Mistral Medium 3 |
|---|---|---|
| Maker | xAI | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | September 21, 2026 | May 7, 2025 |
| Context window | 500K | 131K |
| Input $/Mtok | $2.00 | $0.40 |
| Output $/Mtok | $6.00 | $2.00 |
| Coding index | 66.7 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Mistral Medium 3 for coding?
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding. Mistral Medium 3 has the edge where output tokens cost 3.0x less, and where the benchmark that matters is LMArena Text: German, where it leads.
Which is cheaper, Grok 4.7 or Mistral Medium 3?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Grok 4.7 or Mistral Medium 3?
Grok 4.7, with 500K tokens against 131K.
How many benchmarks is the Grok 4.7 vs Mistral Medium 3 comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Mistral Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.