Kimi K2.7 Code vs MiniMax M2.7
Kimi K2.7 Code leads MiniMax M2.7 on coding, 53.4 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 3.3x less per output token ($1.20 vs $4.00 per million). Updated October 22, 2026; 30 benchmarks have a result for both.
Kimi K2.7 Code or MiniMax M2.7: which to pick
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 36.2 for MiniMax M2.7.
Pick MiniMax M2.7 for output tokens 3.3x cheaper ($1.20 vs $4.00 per million) and work measured by SciCode or Design Arena: data viz, where it leads.
- Shared results
- 30
- Kimi K2.7 Code only
- 21
- MiniMax M2.7 only
- 44
- Like-for-like categories
- 6 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
Kimi K2.7 Code
Kimi K2.7 Code scores 53.4 against 36.2.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 25.8 against 22.8.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 21.0 against 15.3.
Same board, both measured
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
Kimi K2.7 Code
Kimi K2.7 Code leads, 1263 against 1243.
Same board, both measured
Long documents
Listed context window
Kimi K2.7 Code
Kimi K2.7 Code takes 262K tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.7
Kimi K2.7 Code $0.0029, MiniMax M2.7 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
Kimi K2.7 Code $0.35, MiniMax M2.7 $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.7 Code 53.4 from 4 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
- Widest category
- Coding, 10.9 points apart on average over 14 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K2.7 Code 47.2% against MiniMax M2.7 11.9%, 35.3 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.7 Code $4.00 against MiniMax M2.7 $1.20 per million output tokens, 3.3x apart.
- Context window
- Kimi K2.7 Code takes 262K tokens, MiniMax M2.7 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 | Kimi K2.7 Code | Bars | MiniMax M2.7 | Ties |
|---|---|---|---|---|
| Coding | 12 | 1 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 2 | 0 | ||
| Web design | 7 | 1 | ||
| General | 1 | 1 | ||
| All shared boards | 26 | 3 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index121
| Benchmark | Kimi K2.7 Code | MiniMax M2.7 | Leader |
|---|---|---|---|
| LMArena WebDev | 1474 | 1399 | Kimi K2.7 Code |
| AA Coding Index | 60.8 | 52.6 | Kimi K2.7 Code |
| LiveCodeBench (Vals AI) | 82.0% | 79.9% | Kimi K2.7 Code |
| SWE-bench Verified (Vals AI) | 78.2% | 73.8% | Kimi K2.7 Code |
| Vibe Code Bench (Vals AI) | 47.2% | 11.9% | Kimi K2.7 Code |
| Code migration (Vals AI) | 25.4% | 8.7% | Kimi K2.7 Code |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 67.0% | 48.7% | Kimi K2.7 Code |
| SkillsBench (Vals AI) | 50.0% | Not measured | Only Kimi K2.7 Code measured |
| SciCode | 47.8% | 50.1% | MiniMax M2.7 |
| Terminal-Bench Hard (Artificial Analysis run) | 44.7% | 39.4% | Kimi K2.7 Code |
| Terminal-Bench | Not measured | 45.1% | Only MiniMax M2.7 measured |
| FrontierCode | 30.1% | Not measured | Only Kimi K2.7 Code measured |
| WeirdML | 54.1% | 37.0% | Kimi K2.7 Code |
| ALE-Bench | 886.2 | 599.3 | Kimi K2.7 Code |
| LMArena Text: coding | Not measured | 1454 | Only MiniMax M2.7 measured |
| LMArena Text: software and IT | Not measured | 1446 | Only MiniMax M2.7 measured |
| LMArena WebDev: React | 1475 | 1388 | Kimi K2.7 Code |
| LMArena WebDev: HTML | 1451 | 1401 | Kimi K2.7 Code |
| LMArena WebDev: from an image | 1513 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.7 Code | MiniMax M2.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.8 | 22.8 | Kimi K2.7 Code |
| Epoch Capabilities Index | 150.1 | 145.8 | Kimi K2.7 Code |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.7 Code | MiniMax M2.7 | Leader |
|---|---|---|---|
| AA Agentic Index | 21.0 | 15.3 | Kimi K2.7 Code |
| Design Arena: agents building web apps | 1176 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building full-stack apps | 1175 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building mobile apps | 1143 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Android apps | 1138 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Godot games | 1147 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | 1130 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | 1151 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | 1129 | Not measured | Only Kimi K2.7 Code 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 | 90.1% | 84.8% | Kimi K2.7 Code |
| APEX-Agents | 37.6% | Not measured | Only Kimi K2.7 Code measured |
| Vending-Bench 2 | $5,083 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.7 Code | MiniMax M2.7 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 86.6% | Only MiniMax M2.7 measured |
| GPQA Diamond (Artificial Analysis run) | 89.6% | 87.4% | Kimi K2.7 Code |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 29.6% | Kimi K2.7 Code |
| GPQA Diamond (Epoch AI run) | 87.9% | Not measured | Only Kimi K2.7 Code measured |
| SimpleBench | 57.9% | Not measured | Only Kimi K2.7 Code measured |
| Chess puzzles | 14.0% | Not measured | Only Kimi K2.7 Code measured |
| LMArena Text: hard prompts | Not measured | 1422 | Only MiniMax M2.7 measured |
| LMArena Text: expert | Not measured | 1443 | Only MiniMax M2.7 measured |
| LMArena Text: hard prompts in English | Not measured | 1441 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Kimi K2.7 Code | MiniMax M2.7 | Leader |
|---|---|---|---|
| AIME | Not measured | 91.0% | Only MiniMax M2.7 measured |
| OTIS Mock AIME | 95.6% | Not measured | Only Kimi K2.7 Code measured |
| FrontierMath, tiers 1 to 3 | 54.0% | Not measured | Only Kimi K2.7 Code measured |
| FrontierMath, tier 4 | 12.2% | Not measured | Only Kimi K2.7 Code measured |
| ProofBench | Not measured | 3.0% | Only MiniMax M2.7 measured |
| LMArena Text: math | Not measured | 1421 | Only MiniMax M2.7 measured |
| LMArena Text: mathematical work | Not measured | 1437 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Kimi K2.7 Code | 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 |
| SimpleQA Verified | 36.5% | Not measured | Only Kimi K2.7 Code measured |
| LMArena Text: science | Not measured | 1416 | Only MiniMax M2.7 measured |
| LMArena Text: medicine and healthcare | Not measured | 1409 | Only MiniMax M2.7 measured |
| LMArena Text: legal and government | Not measured | 1403 | Only MiniMax M2.7 measured |
| LMArena Text: business and finance | Not measured | 1407 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Kimi K2.7 Code | MiniMax M2.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1263 | 1243 | Kimi K2.7 Code |
| Design Arena: UI components | 1255 | 1210 | Kimi K2.7 Code |
| Design Arena: game dev | 1220 | 1209 | Kimi K2.7 Code |
| Design Arena: data viz | 1227 | 1233 | MiniMax M2.7 |
| Design Arena: 3D | 1240 | 1195 | Kimi K2.7 Code |
| Design Arena: all code categories | 1252 | 1233 | Kimi K2.7 Code |
| Design Arena: SVG | 1176 | 1137 | Kimi K2.7 Code |
| Design Arena: ASCII art | 1196 | 1136 | Kimi K2.7 Code |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Kimi K2.7 Code | MiniMax M2.7 | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | Not measured | 79.9% | Only MiniMax M2.7 measured |
| IFBench | 63.1% | 75.7% | MiniMax M2.7 |
| Long context reasoning (AA-LCR) | 79.3% | 78.3% | Kimi K2.7 Code |
| Surface Evolver Bench | 48.8% | Not measured | Only Kimi K2.7 Code measured |
| ExploitBench | Not measured | 13.3% | Only MiniMax M2.7 measured |
| LMArena Text | Not measured | 1405 | Only MiniMax M2.7 measured |
| LMArena Text: instruction following | Not measured | 1405 | Only MiniMax M2.7 measured |
| LMArena Text: creative writing | Not measured | 1354 | Only MiniMax M2.7 measured |
| LMArena Text: English | Not measured | 1426 | Only MiniMax M2.7 measured |
| LMArena Text: non-English | Not measured | 1382 | Only MiniMax M2.7 measured |
| LMArena Text: Chinese | Not measured | 1442 | Only MiniMax M2.7 measured |
| LMArena Text: German | Not measured | 1398 | Only MiniMax M2.7 measured |
| 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 | Not measured | 1424 | Only MiniMax M2.7 measured |
| LMArena Text: Spanish | Not measured | 1402 | Only MiniMax M2.7 measured |
| LMArena Text: Russian | Not measured | 1383 | Only MiniMax M2.7 measured |
| LMArena Text: Polish | Not measured | 1387 | Only MiniMax M2.7 measured |
| LMArena Text: multi-turn | Not measured | 1412 | Only MiniMax M2.7 measured |
| LMArena Text: longer queries | Not measured | 1418 | Only MiniMax M2.7 measured |
| LMArena Text: writing and language | Not measured | 1376 | Only MiniMax M2.7 measured |
| LMArena Text: entertainment and media | Not measured | 1360 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.7 Code | 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 M2.7 costs less
Repository review
50K input + 3K output tokens
MiniMax M2.7 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2.7 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 | MoonshotAI Kimi K2.7 Code | MiniMax M2.7 |
|---|---|---|
| Maker | Moonshot AI | MiniMax |
| Weights | Open weights | Open weights |
| Released | June 12, 2026 | March 18, 2026 |
| Context window | 262K | 205K |
| Input $/Mtok | $0.95 | $0.30 |
| Output $/Mtok | $4.00 | $1.20 |
| Coding index | 53.4 | 36.2 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $0.35 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.7 Code better than MiniMax M2.7 for coding?
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 3.3x cheaper ($1.20 vs $4.00 per million) and work measured by SciCode or Design Arena: data viz, where it leads.
Which is cheaper, Kimi K2.7 Code or MiniMax M2.7?
Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Kimi K2.7 Code costs $0.35 and MiniMax M2.7 $0.64.
Which has the bigger context window, Kimi K2.7 Code or MiniMax M2.7?
Kimi K2.7 Code, with 262K tokens against 205K.
How many benchmarks is the Kimi K2.7 Code vs MiniMax M2.7 comparison based on?
30 benchmarks have a result for both models as of October 22, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.