MiniMax M2 vs MiniMax M2.7
Updated October 21, 2026. 43 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiniMax M2 for coding: it scores 45.3 on the Vibe Coding Index against 28.4 for MiniMax M2.7.
Pick MiniMax M2.7 when a solved task costs $0.64 against $0.702, or when what matters is LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 43
- MiniMax M2 only
- 6
- MiniMax M2.7 only
- 31
- 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
MiniMax M2
MiniMax M2 scores 45.3 against 28.4.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M2.7
MiniMax M2.7 leads, 22.8 against 18.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M2.7 has a AA Agentic Index result, 15.3.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M2.7 has a GPQA Diamond result, 86.6%.
Directional only
Math
AIME
No call
Only MiniMax M2.7 has a AIME result, 91.0%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.7 has a MMLU Pro result, 80.4%.
Directional only
Web design
Design Arena: websites
MiniMax M2.7
MiniMax M2.7 leads, 1243 against 1144.
Same board, both measured
Long documents
Listed context window
No call
Both take 205K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
MiniMax M2 $0.0008, MiniMax M2.7 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M2.7
MiniMax M2 $0.702, MiniMax M2.7 $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- MiniMax M2 45.3 from 2 benchmarks, MiniMax M2.7 28.4 from 1 benchmark.
- Widest category
- Coding, 14.2 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena Text: expert: MiniMax M2 1338 against MiniMax M2.7 1443, 17.6 points apart on a 0 to 100 scale.
- Output price
- MiniMax M2 $1.02 against MiniMax M2.7 $1.20 per million output tokens, 1.2x apart.
- Context window
- Both take 205K tokens.
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 | MiniMax M2 | Bars | MiniMax M2.7 | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 7 | ||
| General | 0 | 17 | ||
| All shared boards | 1 | 42 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
| Benchmark | MiniMax M2 | MiniMax M2.7 | Leader |
|---|---|---|---|
| SWE-bench Verified | 61.0% | Not measured | Only MiniMax M2 measured |
| LMArena WebDev | 1297 | 1399 | MiniMax M2.7 |
| AA Coding Index | Not measured | 52.6 | Only MiniMax M2.7 measured |
| LiveCodeBench (Vals AI) | Not measured | 79.9% | Only MiniMax M2.7 measured |
| SWE-bench Verified (Vals AI) | Not measured | 73.8% | Only MiniMax M2.7 measured |
| Vibe Code Bench (Vals AI) | Not measured | 11.9% | Only MiniMax M2.7 measured |
| Code migration (Vals AI) | Not measured | 8.7% | Only MiniMax M2.7 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only MiniMax M2.7 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 48.7% | Only MiniMax M2.7 measured |
| LiveCodeBench (Artificial Analysis run) | 82.6% | Not measured | Only MiniMax M2 measured |
| SciCode | Not measured | 50.1% | Only MiniMax M2.7 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 25.8% | 39.4% | MiniMax M2.7 |
| Terminal-Bench | 30.0% | 45.1% | MiniMax M2.7 |
| WeirdML | Not measured | 37.0% | Only MiniMax M2.7 measured |
| ALE-Bench | Not measured | 599.3 | Only MiniMax M2.7 measured |
| LMArena Text: coding | 1371 | 1454 | MiniMax M2.7 |
| LMArena Text: software and IT | 1373 | 1446 | MiniMax M2.7 |
| LMArena WebDev: React | Not measured | 1388 | Only MiniMax M2.7 measured |
| LMArena WebDev: HTML | 1306 | 1401 | MiniMax M2.7 |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | MiniMax M2 | MiniMax M2.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 18.6 | 22.8 | MiniMax M2.7 |
| Epoch Capabilities Index | Not measured | 145.8 | Only MiniMax M2.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M2 | MiniMax M2.7 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.3 | Only MiniMax M2.7 measured |
| Finance Agent (Vals AI) | Not measured | 27.9% | Only MiniMax M2.7 measured |
| Tax Agent Bench (Vals AI) | Not measured | 6.9% | Only MiniMax M2.7 measured |
| Legal Research Bench (Vals AI) | Not measured | 10.6% | Only MiniMax M2.7 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 28.4% | Only MiniMax M2.7 measured |
| τ²-Bench Telecom | 86.8% | 84.8% | MiniMax M2 |
| Vending-Bench 2 | $161 | Not measured | Only MiniMax M2 measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | MiniMax M2 | MiniMax M2.7 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 86.6% | Only MiniMax M2.7 measured |
| GPQA Diamond (Artificial Analysis run) | 77.7% | 87.4% | MiniMax M2.7 |
| Humanity's Last Exam (Artificial Analysis run) | 13.7% | 29.6% | MiniMax M2.7 |
| LMArena Text: hard prompts | 1357 | 1422 | MiniMax M2.7 |
| LMArena Text: expert | 1338 | 1443 | MiniMax M2.7 |
| LMArena Text: hard prompts in English | 1376 | 1441 | MiniMax M2.7 |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | MiniMax M2 | MiniMax M2.7 | Leader |
|---|---|---|---|
| AIME | Not measured | 91.0% | Only MiniMax M2.7 measured |
| AA Math Index | 78.3 | Not measured | Only MiniMax M2 measured |
| AIME 2025 (Artificial Analysis run) | 78.3% | Not measured | Only MiniMax M2 measured |
| ProofBench | Not measured | 3.0% | Only MiniMax M2.7 measured |
| LMArena Text: math | 1351 | 1421 | MiniMax M2.7 |
| LMArena Text: mathematical work | 1368 | 1437 | MiniMax M2.7 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | MiniMax M2 | MiniMax M2.7 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 80.4% | Only MiniMax M2.7 measured |
| LegalBench (Vals AI) | Not measured | 84.0% | Only MiniMax M2.7 measured |
| CaseLaw (Vals AI) | Not measured | 60.9% | Only MiniMax M2.7 measured |
| CorpFin (Vals AI) | Not measured | 61.2% | Only MiniMax M2.7 measured |
| TaxEval (Vals AI) | Not measured | 66.6% | Only MiniMax M2.7 measured |
| MedCode (Vals AI) | Not measured | 34.4% | Only MiniMax M2.7 measured |
| MMLU Pro (Artificial Analysis run) | 82.0% | Not measured | Only MiniMax M2 measured |
| LMArena Text: science | 1348 | 1416 | MiniMax M2.7 |
| LMArena Text: medicine and healthcare | 1367 | 1409 | MiniMax M2.7 |
| LMArena Text: legal and government | 1349 | 1403 | MiniMax M2.7 |
| LMArena Text: business and finance | 1336 | 1407 | MiniMax M2.7 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | MiniMax M2 | MiniMax M2.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1144 | 1243 | MiniMax M2.7 |
| Design Arena: UI components | 1136 | 1210 | MiniMax M2.7 |
| Design Arena: game dev | 1119 | 1210 | MiniMax M2.7 |
| Design Arena: data viz | 1140 | 1233 | MiniMax M2.7 |
| Design Arena: 3D | 1098 | 1195 | MiniMax M2.7 |
| Design Arena: all code categories | 1135 | 1233 | MiniMax M2.7 |
| Design Arena: SVG | 1098 | 1136 | MiniMax M2.7 |
| Design Arena: ASCII art | Not measured | 1136 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
| Benchmark | MiniMax M2 | MiniMax M2.7 | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | Not measured | 79.9% | Only MiniMax M2.7 measured |
| IFBench | 72.3% | 75.7% | MiniMax M2.7 |
| Long context reasoning (AA-LCR) | 64.3% | 78.3% | MiniMax M2.7 |
| ExploitBench | Not measured | 13.3% | Only MiniMax M2.7 measured |
| LMArena Text | 1340 | 1405 | MiniMax M2.7 |
| LMArena Text: instruction following | 1329 | 1405 | MiniMax M2.7 |
| LMArena Text: creative writing | 1286 | 1354 | MiniMax M2.7 |
| LMArena Text: English | 1364 | 1426 | MiniMax M2.7 |
| LMArena Text: non-English | 1313 | 1382 | MiniMax M2.7 |
| LMArena Text: Chinese | 1366 | 1442 | MiniMax M2.7 |
| LMArena Text: German | 1357 | 1398 | MiniMax M2.7 |
| LMArena Text: Japanese | Not measured | 1260 | Only MiniMax M2.7 measured |
| LMArena Text: Korean | Not measured | 1314 | Only MiniMax M2.7 measured |
| LMArena Text: French | 1336 | 1424 | MiniMax M2.7 |
| LMArena Text: Spanish | 1326 | 1402 | MiniMax M2.7 |
| LMArena Text: Russian | 1330 | 1383 | MiniMax M2.7 |
| LMArena Text: Polish | 1312 | 1387 | MiniMax M2.7 |
| LMArena Text: multi-turn | 1361 | 1412 | MiniMax M2.7 |
| LMArena Text: longer queries | 1331 | 1418 | MiniMax M2.7 |
| LMArena Text: writing and language | 1295 | 1376 | MiniMax M2.7 |
| LMArena Text: entertainment and media | 1298 | 1360 | MiniMax M2.7 |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M2 | MiniMax M2.7 | 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 | MiniMax M2 | MiniMax M2.7 |
|---|---|---|
| Maker | MiniMax | MiniMax |
| Weights | Open weights | Open weights |
| Released | October 23, 2025 | March 18, 2026 |
| Context window | 205K | 205K |
| Input $/Mtok | $0.255 | $0.30 |
| Output $/Mtok | $1.02 | $1.20 |
| Coding index | 45.3 | 28.4 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.702 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M2 better than MiniMax M2.7 for coding?
Pick MiniMax M2 for coding: it scores 45.3 on the Vibe Coding Index against 28.4 for MiniMax M2.7. Pick MiniMax M2.7 when a solved task costs $0.64 against $0.702, or when what matters is LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, MiniMax M2 or MiniMax M2.7?
MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, MiniMax M2 costs $0.702 and MiniMax M2.7 $0.64.
Which has the bigger context window, MiniMax M2 or MiniMax M2.7?
Neither: both take 205K tokens.
How many benchmarks is the MiniMax M2 vs MiniMax M2.7 comparison based on?
43 benchmarks have a result for both models as of October 21, 2026. MiniMax M2's coding index rests on 2 independent benchmarks and MiniMax M2.7's on 1. Where only one model has a result, the page says so instead of naming a winner.