Grok 4.7 vs MiniMax M2
Grok 4.7 leads MiniMax M2 on the Artificial Analysis Intelligence Index, 46.4 to 18.6, and MiniMax M2 costs 5.9x less per output token ($1.02 vs $6.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.
Grok 4.7 or MiniMax M2: which to pick
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding.
Pick MiniMax M2 for output tokens 5.9x cheaper ($1.02 vs $6.00 per million).
- Shared results
- 38
- Grok 4.7 only
- 61
- MiniMax M2 only
- 12
- 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
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 18.6.
Same board, both measured
Web design
Design Arena: websites
Grok 4.7
Grok 4.7 leads, 1255 against 1143.
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 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
Grok 4.7 $0.0050, MiniMax M2 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2 has the number, $0.702.
Directional only
At a glance
- Coding index
- Grok 4.7 66.7 from 5 benchmarks, MiniMax M2 not benchmarked.
- Widest category
- Agentic work, 64.9 points apart on average over 1 shared benchmark.
- Widest single gap
- Vending-Bench 2: Grok 4.7 $10,537 against MiniMax M2 $161, 64.9 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against MiniMax M2 $1.02 per million output tokens, 5.9x apart.
- Context window
- Grok 4.7 takes 500K tokens, MiniMax M2 205K.
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 M2 | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 6 | 0 | ||
| General | 16 | 0 | ||
| All shared boards | 38 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Grok 4.7 | MiniMax M2 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 61.0% | Only MiniMax M2 measured |
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | 1297 | Grok 4.7 |
| 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 | 82.6% | Only MiniMax M2 measured |
| SciCode | 57.8% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 25.8% | Only MiniMax M2 measured |
| Terminal-Bench | Not measured | 30.0% | Only MiniMax M2 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 | 1371 | Grok 4.7 |
| LMArena Text: software and IT | 1421 | 1373 | Grok 4.7 |
| LMArena WebDev: React | 1663 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: HTML | 1627 | 1306 | Grok 4.7 |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.7 | MiniMax M2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | 18.6 | Grok 4.7 |
| Epoch Capabilities Index | 154.4 | Not measured | Only Grok 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.7 | MiniMax M2 | 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 | 86.8% | Only MiniMax M2 measured |
| APEX-Agents | 54.6% | Not measured | Only Grok 4.7 measured |
| Vending-Bench 2 | $10,537 | $161 | Grok 4.7 |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.7 | MiniMax M2 | 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 | 77.7% | Only MiniMax M2 measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 13.7% | 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 | 1357 | Grok 4.7 |
| LMArena Text: expert | 1439 | 1338 | Grok 4.7 |
| LMArena Text: hard prompts in English | 1427 | 1376 | Grok 4.7 |
| LMArena Vision: diagrams | 1254 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: homework | 1309 | Not measured | Only Grok 4.7 measured |
| Kagi LLM Benchmark | Not measured | 57.8% | Only MiniMax M2 measured |
| 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 | MiniMax M2 | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 78.3 | Only MiniMax M2 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 78.3% | Only MiniMax M2 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 | 1351 | Grok 4.7 |
| LMArena Text: mathematical work | 1435 | 1368 | 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 | MiniMax M2 | 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 | 82.0% | Only MiniMax M2 measured |
| SimpleQA Verified | 56.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1419 | 1348 | Grok 4.7 |
| LMArena Text: medicine and healthcare | 1395 | 1367 | Grok 4.7 |
| LMArena Text: legal and government | 1423 | 1349 | Grok 4.7 |
| LMArena Text: business and finance | 1389 | 1336 | Grok 4.7 |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Grok 4.7 | MiniMax M2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | 1143 | Grok 4.7 |
| Design Arena: UI components | 1275 | 1137 | Grok 4.7 |
| Design Arena: game dev | 1314 | 1118 | Grok 4.7 |
| Design Arena: data viz | 1238 | 1140 | Grok 4.7 |
| Design Arena: 3D | 1274 | 1098 | Grok 4.7 |
| Design Arena: all code categories | 1273 | 1135 | Grok 4.7 |
| Design Arena: SVG | Not measured | 1100 | Only MiniMax M2 measured |
| LiveBench design | 78.0% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
| Benchmark | Grok 4.7 | MiniMax M2 | 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 | 72.3% | Only MiniMax M2 measured |
| Long context reasoning (AA-LCR) | 80.0% | 64.3% | Grok 4.7 |
| DTBench | 96.0% | Not measured | Only Grok 4.7 measured |
| LMCA | 49.4% | Not measured | Only Grok 4.7 measured |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | 1340 | Grok 4.7 |
| LMArena Text: instruction following | 1406 | 1329 | Grok 4.7 |
| LMArena Text: creative writing | 1381 | 1286 | Grok 4.7 |
| LMArena Vision | 1231 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1411 | 1364 | Grok 4.7 |
| LMArena Text: non-English | 1386 | 1313 | Grok 4.7 |
| LMArena Text: Chinese | 1449 | 1366 | Grok 4.7 |
| LMArena Text: German | 1366 | 1357 | Grok 4.7 |
| LMArena Text: Japanese | 1359 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Korean | 1383 | Not measured | Only Grok 4.7 measured |
| LMArena Text: French | 1431 | 1336 | Grok 4.7 |
| LMArena Text: Spanish | 1406 | 1326 | Grok 4.7 |
| LMArena Text: Russian | 1399 | 1330 | Grok 4.7 |
| LMArena Text: Polish | 1420 | 1312 | Grok 4.7 |
| LMArena Text: multi-turn | 1394 | 1361 | Grok 4.7 |
| LMArena Text: longer queries | 1416 | 1331 | Grok 4.7 |
| LMArena Text: writing and language | 1394 | 1295 | Grok 4.7 |
| LMArena Text: entertainment and media | 1376 | 1298 | Grok 4.7 |
| LMArena Vision: English | 1229 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: Chinese | 1250 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: reading text | 1241 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: creative writing | 1217 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | MiniMax M2 | 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 M2 costs less
Repository review
50K input + 3K output tokens
MiniMax M2 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2 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 M2 |
|---|---|---|
| Maker | xAI | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | September 21, 2026 | October 23, 2025 |
| Context window | 500K | 205K |
| Input $/Mtok | $2.00 | $0.255 |
| Output $/Mtok | $6.00 | $1.02 |
| Coding index | 66.7 | Not benchmarked |
| Independent measurements behind it | 5 | 1 |
| Cost per solved task | Not computable | $0.702 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than MiniMax M2 for coding?
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 5.9x cheaper ($1.02 vs $6.00 per million).
Which is cheaper, Grok 4.7 or MiniMax M2?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.
Which has the bigger context window, Grok 4.7 or MiniMax M2?
Grok 4.7, with 500K tokens against 205K.
How many benchmarks is the Grok 4.7 vs MiniMax M2 comparison based on?
38 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 M2's on 1. Where only one model has a result, the page says so instead of naming a winner.