Grok 4.7 vs MiniMax M2.5
Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 59.4 for MiniMax M2.5.
Pick MiniMax M2.5 when output tokens cost 6.3x less.
- Shared results
- 47
- Grok 4.7 only
- 52
- MiniMax M2.5 only
- 20
- Like-for-like categories
- 8 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, four public coding benchmarks
Grok 4.7
Grok 4.7 scores 75.0 against 59.4.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 against 22.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only MiniMax M2.5 has a GPQA Diamond result, 82.1%.
Directional only
Math
AIME
No call
Only MiniMax M2.5 has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.5 has a MMLU Pro result, 80.1%.
Directional only
Web design
Design Arena: websites
Grok 4.7
Grok 4.7 leads, 1255 against 1222.
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 M2.5
Grok 4.7 $0.0050, MiniMax M2.5 $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2.5 has the number, $0.62.
Directional only
At a glance
- Coding index
- Grok 4.7 75.0 from 2 benchmarks, MiniMax M2.5 59.4 from 2 benchmarks.
- Widest category
- Agentic work, 65.9 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): Grok 4.7 86.2% against MiniMax M2.5 14.8%, 71.3 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against MiniMax M2.5 $0.95 per million output tokens, 6.3x apart.
- Context window
- Grok 4.7 takes 500K tokens, MiniMax M2.5 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 M2.5 | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 5 | 0 | ||
| Web design | 6 | 0 | ||
| General | 18 | 0 | ||
| All shared boards | 47 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
| Benchmark | Grok 4.7 | MiniMax M2.5 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 75.8% | Only MiniMax M2.5 measured |
| SWE-bench Multilingual | Not measured | 68.3% | Only MiniMax M2.5 measured |
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | 1386 | Grok 4.7 |
| LiveCodeBench (Vals AI) | Not measured | 79.2% | Only MiniMax M2.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 74.2% | Only MiniMax M2.5 measured |
| Terminal-Bench 4 (Vals AI) | 28.8% | Not measured | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | 86.2% | 14.8% | Grok 4.7 |
| 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 |
| SciCode | 57.8% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 34.8% | Only MiniMax M2.5 measured |
| Terminal-Bench | Not measured | 42.7% | Only MiniMax M2.5 measured |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| ALE-Bench | Not measured | 618.2 | Only MiniMax M2.5 measured |
| LMArena Text: coding | 1432 | 1380 | Grok 4.7 |
| LMArena Text: software and IT | 1421 | 1383 | Grok 4.7 |
| LMArena WebDev: React | 1663 | 1374 | Grok 4.7 |
| LMArena WebDev: HTML | 1627 | 1414 | Grok 4.7 |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | MiniMax M2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | 22.8 | Grok 4.7 |
| Epoch Capabilities Index | 154.4 | 146.6 | Grok 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.7 | MiniMax M2.5 | 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 | 95.3% | Only MiniMax M2.5 measured |
| APEX-Agents | 54.6% | Not measured | Only Grok 4.7 measured |
| Vending-Bench 2 | $10,537 | -$23 | Grok 4.7 |
| 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 | MiniMax M2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 82.1% | Only MiniMax M2.5 measured |
| 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 | 84.8% | Only MiniMax M2.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 20.5% | Grok 4.7 |
| GPQA Diamond (Epoch AI run) | 92.7% | Not measured | Only Grok 4.7 measured |
| ARC-AGI | 90.2% | 63.7% | Grok 4.7 |
| ARC-AGI-2 | 61.4% | 4.9% | Grok 4.7 |
| 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 | 1372 | Grok 4.7 |
| LMArena Text: expert | 1439 | 1378 | Grok 4.7 |
| LMArena Text: hard prompts in English | 1427 | 1384 | 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 |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Grok 4.7 | MiniMax M2.5 | Leader |
|---|---|---|---|
| AIME | Not measured | 88.8% | Only MiniMax M2.5 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% | 4.0% | Grok 4.7 |
| LMArena Text: math | 1414 | 1378 | Grok 4.7 |
| LMArena Text: mathematical work | 1435 | 1378 | Grok 4.7 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Grok 4.7 | MiniMax M2.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 80.1% | Only MiniMax M2.5 measured |
| LegalBench (Vals AI) | 84.4% | 80.0% | Grok 4.7 |
| CaseLaw (Vals AI) | Not measured | 53.5% | Only MiniMax M2.5 measured |
| CorpFin (Vals AI) | Not measured | 59.6% | Only MiniMax M2.5 measured |
| TaxEval (Vals AI) | Not measured | 68.2% | Only MiniMax M2.5 measured |
| MedQA (Vals AI) | Not measured | 92.5% | Only MiniMax M2.5 measured |
| MedCode (Vals AI) | 49.5% | Not measured | Only Grok 4.7 measured |
| SimpleQA Verified | 56.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1419 | 1369 | Grok 4.7 |
| LMArena Text: medicine and healthcare | 1395 | 1357 | Grok 4.7 |
| LMArena Text: legal and government | 1423 | 1366 | Grok 4.7 |
| LMArena Text: business and finance | 1389 | 1356 | Grok 4.7 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Grok 4.7 | MiniMax M2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | 1222 | Grok 4.7 |
| Design Arena: UI components | 1271 | 1172 | Grok 4.7 |
| Design Arena: game dev | 1314 | 1176 | Grok 4.7 |
| Design Arena: data viz | 1227 | 1171 | Grok 4.7 |
| Design Arena: 3D | 1269 | 1170 | Grok 4.7 |
| Design Arena: all code categories | 1271 | 1207 | Grok 4.7 |
| Design Arena: SVG | Not measured | 1147 | Only MiniMax M2.5 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 index180
| Benchmark | Grok 4.7 | MiniMax M2.5 | 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 | 71.6% | Only MiniMax M2.5 measured |
| Long context reasoning (AA-LCR) | 80.0% | 73.3% | Grok 4.7 |
| DTBench | 96.0% | Not measured | Only Grok 4.7 measured |
| LMCA | 49.4% | Not measured | Only Grok 4.7 measured |
| CL-bench | Not measured | 11.4% | Only MiniMax M2.5 measured |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| CL-bench Life | Not measured | 6.3% | Only MiniMax M2.5 measured |
| LMArena Text | 1399 | 1359 | Grok 4.7 |
| LMArena Text: instruction following | 1406 | 1353 | Grok 4.7 |
| LMArena Text: creative writing | 1381 | 1331 | Grok 4.7 |
| LMArena Vision | 1231 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1411 | 1380 | Grok 4.7 |
| LMArena Text: non-English | 1386 | 1338 | Grok 4.7 |
| LMArena Text: Chinese | 1449 | 1393 | Grok 4.7 |
| LMArena Text: German | 1366 | 1361 | Grok 4.7 |
| LMArena Text: Japanese | 1359 | 1171 | Grok 4.7 |
| LMArena Text: Korean | 1383 | 1233 | Grok 4.7 |
| LMArena Text: French | 1431 | 1363 | Grok 4.7 |
| LMArena Text: Spanish | 1406 | 1353 | Grok 4.7 |
| LMArena Text: Russian | 1399 | 1359 | Grok 4.7 |
| LMArena Text: Polish | 1420 | 1334 | Grok 4.7 |
| LMArena Text: multi-turn | 1394 | 1364 | Grok 4.7 |
| LMArena Text: longer queries | 1416 | 1366 | Grok 4.7 |
| LMArena Text: writing and language | 1394 | 1345 | Grok 4.7 |
| LMArena Text: entertainment and media | 1376 | 1329 | 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 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | MiniMax M2.5 | 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 M2.5 costs less
Repository review
50K input + 3K output tokens
MiniMax M2.5 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2.5 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 M2.5 |
|---|---|---|
| Maker | xAI | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | September 21, 2026 | February 12, 2026 |
| Context window | 500K | 205K |
| Input $/Mtok | $2.00 | $0.27 |
| Output $/Mtok | $6.00 | $0.95 |
| Coding index | 75.0 | 59.4 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | $0.62 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than MiniMax M2.5 for coding?
Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 59.4 for MiniMax M2.5. Pick MiniMax M2.5 when output tokens cost 6.3x less.
Which is cheaper, Grok 4.7 or MiniMax M2.5?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; MiniMax M2.5 costs $0.27 and $0.95. Cost per solved task is known for MiniMax M2.5 only.
Which has the bigger context window, Grok 4.7 or MiniMax M2.5?
Grok 4.7, with 500K tokens against 205K.
How many benchmarks is the Grok 4.7 vs MiniMax M2.5 comparison based on?
47 benchmarks have a result for both models as of October 21, 2026. Grok 4.7's coding index rests on 2 independent benchmarks and MiniMax M2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.