Grok 4.7 vs MiniMax M3
Grok 4.7 leads MiniMax M3 on coding, 66.7 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 5.0x less per output token ($1.20 vs $6.00 per million). Updated October 22, 2026; 82 benchmarks have a result for both.
Grok 4.7 or MiniMax M3: which to pick
Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6.
Pick MiniMax M3 for output tokens 5.0x cheaper ($1.20 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
- Shared results
- 82
- Grok 4.7 only
- 17
- MiniMax M3 only
- 34
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
Grok 4.7
Grok 4.7 scores 66.7 against 39.2.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 against 29.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M3 has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M3 has a MMLU Pro result, 84.2%.
Directional only
Web design
Design Arena: websites
MiniMax M3
MiniMax M3 leads, 1257 against 1255.
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
MiniMax M3
MiniMax M3 takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
Grok 4.7 $0.0050, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M3 has the number, $0.56.
Directional only
At a glance
- Coding index
- Grok 4.7 66.7 from 5 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Agentic work, 25.7 points apart on average over 9 shared benchmarks.
- Widest single gap
- Vending-Bench 2: Grok 4.7 $10,537 against MiniMax M3 $2,158, 52.4 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against MiniMax M3 $1.20 per million output tokens, 5.0x apart.
- Context window
- Grok 4.7 takes 500K tokens, MiniMax M3 1.05M.
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 | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 13 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 9 | 0 | ||
| Reasoning | 6 | 4 | ||
| Math | 2 | 2 | ||
| Knowledge | 1 | 5 | ||
| Web design | 6 | 1 | ||
| General | 6 | 23 | ||
| All shared boards | 45 | 37 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index132
| Benchmark | Grok 4.7 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | 70.9% | Grok 4.7 |
| LMArena WebDev | 1637 | 1482 | Grok 4.7 |
| AA Coding Index | Not measured | 58.6 | Only MiniMax M3 measured |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only MiniMax M3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.0% | Only MiniMax M3 measured |
| Terminal-Bench 4 (Vals AI) | 28.8% | 1.0% | Grok 4.7 |
| Vibe Code Bench (Vals AI) | 86.2% | 47.6% | Grok 4.7 |
| Code migration (Vals AI) | 44.8% | 19.9% | Grok 4.7 |
| 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% | 53.6% | Grok 4.7 |
| SWE-bench Multimodal (Vals AI) | 42.9% | 33.3% | Grok 4.7 |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 9.2% | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | Not measured | 51.5% | Only MiniMax M3 measured |
| CyberBench (Vals AI) | 69.5% | 65.0% | Grok 4.7 |
| SciCode | 57.8% | 47.1% | Grok 4.7 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| FrontierCode | 47.6% | 14.7% | Grok 4.7 |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| ALE-Bench | Not measured | 640.0 | Only MiniMax M3 measured |
| LMArena Text: coding | 1432 | 1470 | MiniMax M3 |
| LMArena Text: software and IT | 1421 | 1466 | MiniMax M3 |
| LMArena WebDev: React | 1663 | 1478 | Grok 4.7 |
| LMArena WebDev: HTML | 1627 | 1455 | Grok 4.7 |
| LMArena WebDev: from an image | 1586 | 1470 | Grok 4.7 |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | 29.2 | Grok 4.7 |
| Epoch Capabilities Index | 154.4 | 146.9 | Grok 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Grok 4.7 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 29.5 | Only MiniMax M3 measured |
| Design Arena: agents building web apps | Not measured | 1200 | Only MiniMax M3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1197 | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | Not measured | 1169 | Only MiniMax M3 measured |
| Design Arena: agents building Android apps | Not measured | 1159 | Only MiniMax M3 measured |
| Design Arena: agents building games | Not measured | 1158 | Only MiniMax M3 measured |
| Design Arena: HTML slides | Not measured | 1130 | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | Not measured | 1181 | Only MiniMax M3 measured |
| Design Arena: spreadsheets | Not measured | 1028 | Only MiniMax M3 measured |
| LiveBench research | 86.4% | 68.0% | Grok 4.7 |
| LiveBench browser | 60.0% | 8.0% | Grok 4.7 |
| LiveBench long agentic | 50.1% | 12.4% | Grok 4.7 |
| SREBench (Vals AI) | 3.8% | Not measured | Only Grok 4.7 measured |
| Finance Agent (Vals AI) | 52.3% | 48.3% | Grok 4.7 |
| Tax Agent Bench (Vals AI) | 34.2% | 20.6% | Grok 4.7 |
| Legal Research Bench (Vals AI) | 47.1% | 29.8% | Grok 4.7 |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | Not measured | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 67.0% | 47.8% | Grok 4.7 |
| 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 | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | 54.6% | 37.7% | Grok 4.7 |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | $10,537 | $2,158 | Grok 4.7 |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index64
| Benchmark | Grok 4.7 | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.7% | Only MiniMax M3 measured |
| LiveBench reasoning | 82.7% | 74.5% | Grok 4.7 |
| MysteryMechanism (Vals AI) | 25.2% | Not measured | Only Grok 4.7 measured |
| MMMU Pro (Vals AI) | Not measured | 81.2% | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.9% | Only MiniMax M3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 39.0% | Grok 4.7 |
| GPQA Diamond (Epoch AI run) | 92.7% | 90.9% | Grok 4.7 |
| ARC-AGI | 90.2% | Not measured | Only Grok 4.7 measured |
| ARC-AGI-2 | 61.4% | Not measured | Only Grok 4.7 measured |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 41.0% | 13.0% | Grok 4.7 |
| Mystery game puzzles | 29.0% | 8.0% | Grok 4.7 |
| LMArena Text: hard prompts | 1415 | 1447 | MiniMax M3 |
| LMArena Text: expert | 1439 | 1461 | MiniMax M3 |
| LMArena Text: hard prompts in English | 1427 | 1455 | MiniMax M3 |
| LMArena Vision: diagrams | 1254 | 1266 | MiniMax M3 |
| LMArena Vision: homework | 1309 | 1268 | Grok 4.7 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Grok 4.7 | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.1% | 71.1% | Grok 4.7 |
| 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% | 18.0% | Grok 4.7 |
| LMArena Text: math | 1414 | 1429 | MiniMax M3 |
| LMArena Text: mathematical work | 1435 | 1448 | MiniMax M3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Grok 4.7 | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.2% | Only MiniMax M3 measured |
| LegalBench (Vals AI) | 84.4% | 85.4% | MiniMax M3 |
| CorpFin (Vals AI) | Not measured | 68.1% | Only MiniMax M3 measured |
| TaxEval (Vals AI) | Not measured | 72.7% | Only MiniMax M3 measured |
| MortgageTax (Vals AI) | Not measured | 68.4% | Only MiniMax M3 measured |
| MedCode (Vals AI) | 49.5% | 46.3% | Grok 4.7 |
| SimpleQA Verified | 56.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1419 | 1452 | MiniMax M3 |
| LMArena Text: medicine and healthcare | 1395 | 1441 | MiniMax M3 |
| LMArena Text: legal and government | 1423 | 1437 | MiniMax M3 |
| LMArena Text: business and finance | 1389 | 1434 | MiniMax M3 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | Grok 4.7 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | 1257 | MiniMax M3 |
| Design Arena: UI components | 1275 | 1242 | Grok 4.7 |
| Design Arena: game dev | 1314 | 1210 | Grok 4.7 |
| Design Arena: data viz | 1238 | 1236 | Grok 4.7 |
| Design Arena: 3D | 1274 | 1208 | Grok 4.7 |
| Design Arena: all code categories | 1273 | 1247 | Grok 4.7 |
| Design Arena: SVG | Not measured | 1161 | Only MiniMax M3 measured |
| Design Arena: ASCII art | Not measured | 1161 | Only MiniMax M3 measured |
| LiveBench design | 78.0% | 66.2% | Grok 4.7 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index623
| Benchmark | Grok 4.7 | MiniMax M3 | Leader |
|---|---|---|---|
| Vals Index | 58.6% | Not measured | Only Grok 4.7 measured |
| LiveBench data analysis | 76.9% | 76.2% | Grok 4.7 |
| Public Benefits Bench (Vals AI) | 65.6% | 64.1% | Grok 4.7 |
| SAGE (Vals AI) | 40.8% | 50.6% | MiniMax M3 |
| MedScribe (Vals AI) | 89.4% | 87.3% | Grok 4.7 |
| Vals Multimodal Index | Not measured | 60.0% | Only MiniMax M3 measured |
| IFBench | Not measured | 82.9% | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 80.0% | 83.0% | MiniMax M3 |
| DTBench | 96.0% | 78.9% | Grok 4.7 |
| LMCA | 49.4% | 33.7% | Grok 4.7 |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | 1433 | MiniMax M3 |
| LMArena Text: instruction following | 1406 | 1433 | MiniMax M3 |
| LMArena Text: creative writing | 1381 | 1404 | MiniMax M3 |
| LMArena Vision | 1231 | 1251 | MiniMax M3 |
| LMArena Text: English | 1411 | 1443 | MiniMax M3 |
| LMArena Text: non-English | 1386 | 1420 | MiniMax M3 |
| LMArena Text: Chinese | 1449 | 1466 | MiniMax M3 |
| LMArena Text: German | 1366 | 1428 | MiniMax M3 |
| LMArena Text: Japanese | 1359 | 1380 | MiniMax M3 |
| LMArena Text: Korean | 1383 | 1373 | Grok 4.7 |
| LMArena Text: French | 1431 | 1444 | MiniMax M3 |
| LMArena Text: Spanish | 1406 | 1433 | MiniMax M3 |
| LMArena Text: Russian | 1399 | 1426 | MiniMax M3 |
| LMArena Text: Polish | 1420 | 1423 | MiniMax M3 |
| LMArena Text: multi-turn | 1394 | 1443 | MiniMax M3 |
| LMArena Text: longer queries | 1416 | 1446 | MiniMax M3 |
| LMArena Text: writing and language | 1394 | 1419 | MiniMax M3 |
| LMArena Text: entertainment and media | 1376 | 1403 | MiniMax M3 |
| LMArena Vision: English | 1229 | 1263 | MiniMax M3 |
| LMArena Vision: Chinese | 1250 | 1311 | MiniMax M3 |
| LMArena Vision: reading text | 1241 | 1259 | MiniMax M3 |
| LMArena Vision: humor | Not measured | 1235 | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | Not measured | 1197 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | 1217 | 1234 | MiniMax M3 |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | MiniMax M3 | 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
MiniMax M3 costs less
Repository review
50K input + 3K output tokens
MiniMax M3 costs less
Agent loop
200K input + 10K output tokens
MiniMax M3 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 | MiniMax M3 |
|---|---|---|
| Maker | xAI | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | September 21, 2026 | May 31, 2026 |
| Context window | 500K | 1.05M |
| Input $/Mtok | $2.00 | $0.30 |
| Output $/Mtok | $6.00 | $1.20 |
| Coding index | 66.7 | 39.2 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than MiniMax M3 for coding?
Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6. Pick MiniMax M3 for output tokens 5.0x cheaper ($1.20 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
Which is cheaper, Grok 4.7 or MiniMax M3?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.
Which has the bigger context window, Grok 4.7 or MiniMax M3?
MiniMax M3, with 1.05M tokens against 500K.
How many benchmarks is the Grok 4.7 vs MiniMax M3 comparison based on?
82 benchmarks have a result for both models as of October 22, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.