Kimi K2.7 Code vs MiniMax M3
Kimi K2.7 Code leads MiniMax M3 on coding, 53.4 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 3.3x less per output token ($1.20 vs $4.00 per million). Updated October 21, 2026; 45 benchmarks have a result for both.
Kimi K2.7 Code or MiniMax M3: which to pick
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 4 benchmarks against 6.
Pick MiniMax M3 for output tokens 3.3x cheaper ($1.20 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).
- Shared results
- 45
- Kimi K2.7 Code only
- 6
- MiniMax M3 only
- 71
- Like-for-like categories
- 7 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 39.2.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M3
MiniMax M3 leads, 29.2 against 25.8.
Same board, both measured
Agentic work
AA Agentic Index
MiniMax M3
MiniMax M3 leads, 29.5 against 21.0.
Same board, both measured
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
Kimi K2.7 Code
Kimi K2.7 Code leads, 1264 against 1257.
Same board, both measured
Long documents
Listed context window
MiniMax M3
MiniMax M3 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
Kimi K2.7 Code $0.0029, MiniMax M3 $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 M3 $0.56.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.7 Code 53.4 from 4 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Math, 24.4 points apart on average over 1 shared benchmark.
- Widest single gap
- OTIS Mock AIME: Kimi K2.7 Code 95.6% against MiniMax M3 71.1%, 24.4 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.7 Code $4.00 against MiniMax M3 $1.20 per million output tokens, 3.3x apart.
- Context window
- Kimi K2.7 Code takes 262K 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 | Kimi K2.7 Code | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 9 | 6 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 3 | 8 | ||
| Reasoning | 2 | 3 | ||
| Math | 1 | 0 | ||
| Web design | 7 | 1 | ||
| General | 0 | 3 | ||
| All shared boards | 23 | 22 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index96
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 70.9% | Only MiniMax M3 measured |
| LMArena WebDev | 1474 | 1482 | MiniMax M3 |
| AA Coding Index | 60.8 | 58.6 | Kimi K2.7 Code |
| LiveCodeBench (Vals AI) | 82.0% | 82.2% | MiniMax M3 |
| SWE-bench Verified (Vals AI) | 78.2% | 75.0% | Kimi K2.7 Code |
| Terminal-Bench 4 (Vals AI) | Not measured | 1.0% | Only MiniMax M3 measured |
| Vibe Code Bench (Vals AI) | 47.2% | 47.6% | MiniMax M3 |
| Code migration (Vals AI) | 25.4% | 19.9% | Kimi K2.7 Code |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Kimi K2.7 Code measured |
| Terminal-Bench 2.1 (Vals AI) | 67.0% | 53.6% | Kimi K2.7 Code |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.3% | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 9.2% | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | 50.0% | 51.5% | MiniMax M3 |
| CyberBench (Vals AI) | Not measured | 65.0% | Only MiniMax M3 measured |
| SciCode | 47.8% | 47.1% | Kimi K2.7 Code |
| Terminal-Bench Hard (Artificial Analysis run) | 44.7% | 42.4% | Kimi K2.7 Code |
| FrontierCode | 30.1% | 14.7% | Kimi K2.7 Code |
| WeirdML | 54.1% | Not measured | Only Kimi K2.7 Code measured |
| ALE-Bench | 886.2 | 640.0 | Kimi K2.7 Code |
| LMArena Text: coding | Not measured | 1470 | Only MiniMax M3 measured |
| LMArena Text: software and IT | Not measured | 1466 | Only MiniMax M3 measured |
| LMArena WebDev: React | 1475 | 1478 | MiniMax M3 |
| LMArena WebDev: HTML | 1451 | 1455 | MiniMax M3 |
| LMArena WebDev: from an image | 1513 | 1470 | Kimi K2.7 Code |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.8 | 29.2 | MiniMax M3 |
| Epoch Capabilities Index | 150.1 | 146.9 | Kimi K2.7 Code |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index38
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | 21.0 | 29.5 | MiniMax M3 |
| Design Arena: agents building web apps | 1176 | 1200 | MiniMax M3 |
| Design Arena: agents building full-stack apps | 1175 | 1197 | MiniMax M3 |
| Design Arena: agents building mobile apps | 1143 | 1169 | MiniMax M3 |
| Design Arena: agents building Android apps | 1137 | 1157 | MiniMax M3 |
| Design Arena: agents building Godot games | 1147 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | 1131 | 1158 | MiniMax M3 |
| Design Arena: HTML slides | 1201 | 1180 | Kimi K2.7 Code |
| Design Arena: PowerPoint slides | 1154 | 1205 | MiniMax M3 |
| Design Arena: spreadsheets | Not measured | 1009 | Only MiniMax M3 measured |
| LiveBench research | Not measured | 68.0% | Only MiniMax M3 measured |
| LiveBench browser | Not measured | 8.0% | Only MiniMax M3 measured |
| LiveBench long agentic | Not measured | 12.4% | Only MiniMax M3 measured |
| Finance Agent (Vals AI) | Not measured | 48.3% | Only MiniMax M3 measured |
| Tax Agent Bench (Vals AI) | Not measured | 20.6% | Only MiniMax M3 measured |
| Legal Research Bench (Vals AI) | Not measured | 29.8% | Only MiniMax M3 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 47.8% | Only MiniMax M3 measured |
| τ²-Bench Telecom | 90.1% | 88.9% | Kimi K2.7 Code |
| APEX-Agents | 37.6% | 37.7% | MiniMax M3 |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | $5,083 | $2,158 | Kimi K2.7 Code |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.7% | Only MiniMax M3 measured |
| LiveBench reasoning | Not measured | 74.5% | Only MiniMax M3 measured |
| MMMU Pro (Vals AI) | Not measured | 81.2% | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | 89.6% | 92.9% | MiniMax M3 |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 39.0% | MiniMax M3 |
| GPQA Diamond (Epoch AI run) | 87.9% | 90.9% | MiniMax M3 |
| SimpleBench | 57.9% | 45.8% | Kimi K2.7 Code |
| Chess puzzles | 14.0% | 13.0% | Kimi K2.7 Code |
| Mystery game puzzles | Not measured | 8.0% | Only MiniMax M3 measured |
| LMArena Text: hard prompts | Not measured | 1447 | Only MiniMax M3 measured |
| LMArena Text: expert | Not measured | 1461 | Only MiniMax M3 measured |
| LMArena Text: hard prompts in English | Not measured | 1455 | Only MiniMax M3 measured |
| LMArena Vision: diagrams | Not measured | 1266 | Only MiniMax M3 measured |
| LMArena Vision: homework | Not measured | 1268 | Only MiniMax M3 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | 71.1% | Kimi K2.7 Code |
| 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 | 18.0% | Only MiniMax M3 measured |
| LMArena Text: math | Not measured | 1429 | Only MiniMax M3 measured |
| LMArena Text: mathematical work | Not measured | 1448 | Only MiniMax M3 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.2% | Only MiniMax M3 measured |
| LegalBench (Vals AI) | Not measured | 85.4% | Only MiniMax M3 measured |
| 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) | Not measured | 46.3% | Only MiniMax M3 measured |
| SimpleQA Verified | 36.5% | Not measured | Only Kimi K2.7 Code measured |
| LMArena Text: science | Not measured | 1452 | Only MiniMax M3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1441 | Only MiniMax M3 measured |
| LMArena Text: legal and government | Not measured | 1437 | Only MiniMax M3 measured |
| LMArena Text: business and finance | Not measured | 1434 | Only MiniMax M3 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 M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1264 | 1257 | Kimi K2.7 Code |
| Design Arena: UI components | 1259 | 1245 | Kimi K2.7 Code |
| Design Arena: game dev | 1220 | 1211 | Kimi K2.7 Code |
| Design Arena: data viz | 1227 | 1235 | MiniMax M3 |
| Design Arena: 3D | 1241 | 1209 | Kimi K2.7 Code |
| Design Arena: all code categories | 1253 | 1247 | Kimi K2.7 Code |
| Design Arena: SVG | 1176 | 1162 | Kimi K2.7 Code |
| Design Arena: ASCII art | 1196 | 1161 | Kimi K2.7 Code |
| LiveBench design | Not measured | 66.2% | Only MiniMax M3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.2% | Only MiniMax M3 measured |
| Public Benefits Bench (Vals AI) | Not measured | 64.1% | Only MiniMax M3 measured |
| SAGE (Vals AI) | Not measured | 50.6% | Only MiniMax M3 measured |
| MedScribe (Vals AI) | Not measured | 87.3% | Only MiniMax M3 measured |
| Vals Multimodal Index | Not measured | 60.0% | Only MiniMax M3 measured |
| IFBench | 63.1% | 82.9% | MiniMax M3 |
| Long context reasoning (AA-LCR) | 79.3% | 83.0% | MiniMax M3 |
| DTBench | Not measured | 78.9% | Only MiniMax M3 measured |
| LMCA | Not measured | 33.7% | Only MiniMax M3 measured |
| Surface Evolver Bench | 48.8% | 55.0% | MiniMax M3 |
| LMArena Text | Not measured | 1433 | Only MiniMax M3 measured |
| LMArena Text: instruction following | Not measured | 1433 | Only MiniMax M3 measured |
| LMArena Text: creative writing | Not measured | 1404 | Only MiniMax M3 measured |
| LMArena Vision | Not measured | 1251 | Only MiniMax M3 measured |
| LMArena Text: English | Not measured | 1443 | Only MiniMax M3 measured |
| LMArena Text: non-English | Not measured | 1420 | Only MiniMax M3 measured |
| LMArena Text: Chinese | Not measured | 1466 | Only MiniMax M3 measured |
| LMArena Text: German | Not measured | 1428 | Only MiniMax M3 measured |
| LMArena Text: Japanese | Not measured | 1380 | Only MiniMax M3 measured |
| LMArena Text: Korean | Not measured | 1373 | Only MiniMax M3 measured |
| LMArena Text: French | Not measured | 1444 | Only MiniMax M3 measured |
| LMArena Text: Spanish | Not measured | 1433 | Only MiniMax M3 measured |
| LMArena Text: Russian | Not measured | 1426 | Only MiniMax M3 measured |
| LMArena Text: Polish | Not measured | 1423 | Only MiniMax M3 measured |
| LMArena Text: multi-turn | Not measured | 1443 | Only MiniMax M3 measured |
| LMArena Text: longer queries | Not measured | 1446 | Only MiniMax M3 measured |
| LMArena Text: writing and language | Not measured | 1419 | Only MiniMax M3 measured |
| LMArena Text: entertainment and media | Not measured | 1403 | Only MiniMax M3 measured |
| LMArena Vision: English | Not measured | 1263 | Only MiniMax M3 measured |
| LMArena Vision: Chinese | Not measured | 1311 | Only MiniMax M3 measured |
| LMArena Vision: reading text | Not measured | 1259 | Only MiniMax M3 measured |
| 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 | Not measured | 1234 | Only MiniMax M3 measured |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.7 Code | 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 | MoonshotAI Kimi K2.7 Code | MiniMax M3 |
|---|---|---|
| Maker | Moonshot AI | MiniMax |
| Weights | Open weights | Open weights |
| Released | June 12, 2026 | May 31, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.95 | $0.30 |
| Output $/Mtok | $4.00 | $1.20 |
| Coding index | 53.4 | 39.2 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | $0.35 | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.7 Code better than MiniMax M3 for coding?
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 4 benchmarks against 6. Pick MiniMax M3 for output tokens 3.3x cheaper ($1.20 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).
Which is cheaper, Kimi K2.7 Code or MiniMax M3?
Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Kimi K2.7 Code costs $0.35 and MiniMax M3 $0.56.
Which has the bigger context window, Kimi K2.7 Code or MiniMax M3?
MiniMax M3, with 1.05M tokens against 262K.
How many benchmarks is the Kimi K2.7 Code vs MiniMax M3 comparison based on?
45 benchmarks have a result for both models as of October 21, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.