Kimi K2.5 vs MiniMax M3
MiniMax M3 leads Kimi K2.5 on coding, 39.2 to 38.6 on the Vibe Coding Index, and MiniMax M3 costs 2.4x less per output token ($1.20 vs $2.85 per million). Updated October 22, 2026; 82 benchmarks have a result for both.
Kimi K2.5 or MiniMax M3: which to pick
Kimi K2.5 and MiniMax M3 are level for coding, 38.6 against 39.2 on the Vibe Coding Index, so price and context decide.
Pick Kimi K2.5 for a lower cost per solved task ($0.24 against $0.56) and work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads. Pick MiniMax M3 for output tokens 2.4x cheaper ($1.20 vs $2.85 per million) and a larger context window (1.05M against 262K tokens).
- Shared results
- 82
- Kimi K2.5 only
- 25
- MiniMax M3 only
- 35
- 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
Level: 38.6 against 39.2, inside 2 points.
3 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M3
MiniMax M3 leads, 29.2 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
MiniMax M3
MiniMax M3 leads, 92.7% against 84.1%.
Same board, both measured
Math
AIME
No call
Only Kimi K2.5 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
Kimi K2.5
Kimi K2.5 leads, 85.9% against 84.2%.
Same board, both measured
Web design
Design Arena: websites
MiniMax M3
MiniMax M3 leads, 1257 against 1248.
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 K2.5 $0.0020, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.5
Kimi K2.5 $0.24, MiniMax M3 $0.56.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.5 38.6 from 3 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Agentic work, 9.4 points apart on average over 9 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K2.5 17.5% against MiniMax M3 47.6%, 30.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.5 $2.85 against MiniMax M3 $1.20 per million output tokens, 2.4x apart.
- Context window
- Kimi K2.5 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 K2.5 | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 4 | 10 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 1 | 8 | ||
| Reasoning | 7 | 3 | ||
| Math | 2 | 0 | ||
| Knowledge | 6 | 3 | ||
| Web design | 1 | 7 | ||
| General | 22 | 6 | ||
| All shared boards | 44 | 38 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index410
| Benchmark | Kimi K2.5 | MiniMax M3 | Leader |
|---|---|---|---|
| SWE-bench Verified | 70.8% | Not measured | Only Kimi K2.5 measured |
| SWE-bench Multilingual | 67.3% | Not measured | Only Kimi K2.5 measured |
| LiveBench coding | Not measured | 70.9% | Only MiniMax M3 measured |
| LMArena WebDev | 1437 | 1482 | MiniMax M3 |
| AA Coding Index | 46.8 | 58.6 | MiniMax M3 |
| LiveCodeBench (Vals AI) | 83.9% | 82.2% | Kimi K2.5 |
| SWE-bench Verified (Vals AI) | 70.0% | 75.0% | MiniMax M3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 1.0% | Only MiniMax M3 measured |
| Vibe Code Bench (Vals AI) | 17.5% | 47.6% | MiniMax M3 |
| Code migration (Vals AI) | 7.0% | 19.9% | MiniMax M3 |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 53.6% | MiniMax M3 |
| 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) | Not measured | 51.5% | Only MiniMax M3 measured |
| CyberBench (Vals AI) | Not measured | 65.0% | Only MiniMax M3 measured |
| SciCode | Not measured | 47.1% | Only MiniMax M3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | 42.4% | MiniMax M3 |
| Terminal-Bench | 43.2% | Not measured | Only Kimi K2.5 measured |
| FrontierCode | Not measured | 14.7% | Only MiniMax M3 measured |
| WeirdML | 45.6% | Not measured | Only Kimi K2.5 measured |
| ALE-Bench | 821.6 | 640.0 | Kimi K2.5 |
| LMArena Text: coding | 1483 | 1470 | Kimi K2.5 |
| LMArena Text: software and IT | 1471 | 1466 | Kimi K2.5 |
| LMArena WebDev: React | 1429 | 1478 | MiniMax M3 |
| LMArena WebDev: HTML | 1426 | 1455 | MiniMax M3 |
| LMArena WebDev: from an image | 1439 | 1470 | MiniMax M3 |
| SWE Atlas: Codebase QnA | 13.1% | Not measured | Only Kimi K2.5 measured |
| SWE Atlas: Refactoring | 20.9% | Not measured | Only Kimi K2.5 measured |
| SWE Atlas: Test Writing | 25.8% | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Kimi K2.5 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | 29.2 | MiniMax M3 |
| Epoch Capabilities Index | 148.1 | 146.9 | Kimi K2.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index18
| Benchmark | Kimi K2.5 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 29.5 | Only MiniMax M3 measured |
| Design Arena: agents building web apps | 1136 | 1200 | MiniMax M3 |
| Design Arena: agents building full-stack apps | 1114 | 1197 | MiniMax M3 |
| Design Arena: agents building mobile apps | 1147 | 1169 | MiniMax M3 |
| Design Arena: agents building Android apps | 1118 | 1158 | MiniMax M3 |
| Design Arena: agents building Godot games | 1219 | Not measured | Only Kimi K2.5 measured |
| Design Arena: agents building games | Not measured | 1159 | Only MiniMax M3 measured |
| Design Arena: HTML slides | Not measured | 1120 | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | Not measured | 1178 | Only MiniMax M3 measured |
| Design Arena: spreadsheets | Not measured | 1042 | 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) | 35.8% | 48.3% | MiniMax M3 |
| Tax Agent Bench (Vals AI) | Not measured | 20.6% | Only MiniMax M3 measured |
| Legal Research Bench (Vals AI) | 15.9% | 29.8% | MiniMax M3 |
| Excel Modeling Benchmark (Vals AI) | 28.5% | 47.8% | MiniMax M3 |
| τ²-Bench Telecom | 95.9% | 88.9% | Kimi K2.5 |
| APEX-Agents | Not measured | 37.7% | Only MiniMax M3 measured |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| OSWorld | 63.3% | Not measured | Only Kimi K2.5 measured |
| Vending-Bench 2 | $1,198 | $2,158 | MiniMax M3 |
| MCP Atlas | 64.4% | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index73
| Benchmark | Kimi K2.5 | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | 84.1% | 92.7% | MiniMax M3 |
| LiveBench reasoning | Not measured | 74.5% | Only MiniMax M3 measured |
| MMMU Pro (Vals AI) | 84.3% | 81.2% | Kimi K2.5 |
| GPQA Diamond (Artificial Analysis run) | 87.9% | 92.9% | MiniMax M3 |
| Humanity's Last Exam (Artificial Analysis run) | 30.7% | 39.0% | MiniMax M3 |
| GPQA Diamond (Epoch AI run) | Not measured | 90.9% | Only MiniMax M3 measured |
| ARC-AGI | 65.3% | Not measured | Only Kimi K2.5 measured |
| ARC-AGI-2 | 11.8% | Not measured | Only Kimi K2.5 measured |
| SimpleBench | 46.8% | 45.8% | Kimi K2.5 |
| Chess puzzles | Not measured | 13.0% | Only MiniMax M3 measured |
| Mystery game puzzles | Not measured | 8.0% | Only MiniMax M3 measured |
| LMArena Text: hard prompts | 1453 | 1447 | Kimi K2.5 |
| LMArena Text: expert | 1466 | 1461 | Kimi K2.5 |
| LMArena Text: hard prompts in English | 1460 | 1455 | Kimi K2.5 |
| LMArena Vision: diagrams | 1282 | 1266 | Kimi K2.5 |
| LMArena Vision: homework | 1297 | 1268 | Kimi K2.5 |
| Kagi LLM Benchmark | 78.5% | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.5 | MiniMax M3 | Leader |
|---|---|---|---|
| AIME | 95.6% | Not measured | Only Kimi K2.5 measured |
| OTIS Mock AIME | Not measured | 71.1% | Only MiniMax M3 measured |
| ProofBench | Not measured | 18.0% | Only MiniMax M3 measured |
| LMArena Text: math | 1470 | 1429 | Kimi K2.5 |
| LMArena Text: mathematical work | 1473 | 1448 | Kimi K2.5 |
| MathArena | 17.9% | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index63
| Benchmark | Kimi K2.5 | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | 85.9% | 84.2% | Kimi K2.5 |
| LegalBench (Vals AI) | Not measured | 85.4% | Only MiniMax M3 measured |
| CaseLaw (Vals AI) | 58.7% | Not measured | Only Kimi K2.5 measured |
| CorpFin (Vals AI) | 68.3% | 68.1% | Kimi K2.5 |
| TaxEval (Vals AI) | 74.2% | 72.7% | Kimi K2.5 |
| MortgageTax (Vals AI) | 66.5% | 68.4% | MiniMax M3 |
| MedQA (Vals AI) | 94.4% | Not measured | Only Kimi K2.5 measured |
| MedCode (Vals AI) | 39.3% | 46.3% | MiniMax M3 |
| SimpleQA Verified | 34.3% | Not measured | Only Kimi K2.5 measured |
| LMArena Text: science | 1459 | 1452 | Kimi K2.5 |
| LMArena Text: medicine and healthcare | 1448 | 1441 | Kimi K2.5 |
| LMArena Text: legal and government | 1441 | 1437 | Kimi K2.5 |
| LMArena Text: business and finance | 1427 | 1434 | MiniMax M3 |
| PRBench Finance | 46.5% | Not measured | Only Kimi K2.5 measured |
| PRBench Legal | 43.8% | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Kimi K2.5 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1248 | 1257 | MiniMax M3 |
| Design Arena: UI components | 1234 | 1243 | MiniMax M3 |
| Design Arena: game dev | 1206 | 1210 | MiniMax M3 |
| Design Arena: data viz | 1219 | 1236 | MiniMax M3 |
| Design Arena: 3D | 1204 | 1208 | MiniMax M3 |
| Design Arena: all code categories | 1236 | 1246 | MiniMax M3 |
| Design Arena: SVG | 1148 | 1160 | MiniMax M3 |
| Design Arena: ASCII art | 1165 | 1161 | Kimi K2.5 |
| LiveBench design | Not measured | 66.2% | Only MiniMax M3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index226
| Benchmark | Kimi K2.5 | 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) | 49.9% | 50.6% | MiniMax M3 |
| MedScribe (Vals AI) | 76.4% | 87.3% | MiniMax M3 |
| Vals Multimodal Index | Not measured | 60.0% | Only MiniMax M3 measured |
| IFBench | 70.2% | 82.9% | MiniMax M3 |
| Long context reasoning (AA-LCR) | 78.0% | 83.0% | MiniMax M3 |
| DTBench | Not measured | 78.9% | Only MiniMax M3 measured |
| LMCA | Not measured | 33.7% | Only MiniMax M3 measured |
| Fiction.LiveBench | 86.1% | Not measured | Only Kimi K2.5 measured |
| CL-bench | 19.3% | Not measured | Only Kimi K2.5 measured |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| CL-bench Life | 13.2% | Not measured | Only Kimi K2.5 measured |
| LMArena Text | 1445 | 1433 | Kimi K2.5 |
| LMArena Text: instruction following | 1431 | 1433 | MiniMax M3 |
| LMArena Text: creative writing | 1422 | 1404 | Kimi K2.5 |
| LMArena Vision | 1269 | 1251 | Kimi K2.5 |
| LMArena Text: English | 1453 | 1443 | Kimi K2.5 |
| LMArena Text: non-English | 1433 | 1420 | Kimi K2.5 |
| LMArena Text: Chinese | 1494 | 1466 | Kimi K2.5 |
| LMArena Text: German | 1441 | 1428 | Kimi K2.5 |
| LMArena Text: Japanese | 1423 | 1380 | Kimi K2.5 |
| LMArena Text: Korean | 1412 | 1373 | Kimi K2.5 |
| LMArena Text: French | 1454 | 1444 | Kimi K2.5 |
| LMArena Text: Spanish | 1450 | 1433 | Kimi K2.5 |
| LMArena Text: Russian | 1435 | 1426 | Kimi K2.5 |
| LMArena Text: Polish | 1445 | 1423 | Kimi K2.5 |
| LMArena Text: multi-turn | 1444 | 1443 | Kimi K2.5 |
| LMArena Text: longer queries | 1445 | 1446 | MiniMax M3 |
| LMArena Text: writing and language | 1425 | 1419 | Kimi K2.5 |
| LMArena Text: entertainment and media | 1417 | 1403 | Kimi K2.5 |
| LMArena Vision: English | 1274 | 1263 | Kimi K2.5 |
| LMArena Vision: Chinese | 1328 | 1311 | Kimi K2.5 |
| LMArena Vision: reading text | 1276 | 1259 | Kimi K2.5 |
| LMArena Vision: humor | 1284 | 1235 | Kimi K2.5 |
| LMArena Vision: captioning | 1257 | Not measured | Only Kimi K2.5 measured |
| LMArena Vision: recognizing things | 1285 | 1197 | Kimi K2.5 |
| LMArena Vision: creative writing | 1269 | 1234 | Kimi K2.5 |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 measured |
| MultiChallenge | 61.4% | Not measured | Only Kimi K2.5 measured |
| EQ-Bench 4 | Not measured | 1150 | Only MiniMax M3 measured |
| Neither model has a result on the other 7 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.5 | 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 K2.5 | MiniMax M3 |
|---|---|---|
| Maker | Moonshot AI | MiniMax |
| Weights | Open weights | Open weights |
| Released | January 27, 2026 | May 31, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.532 | $0.30 |
| Output $/Mtok | $2.85 | $1.20 |
| Coding index | 38.6 | 39.2 |
| Independent measurements behind it | 3 | 6 |
| Cost per solved task | $0.24 | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.5 better than MiniMax M3 for coding?
Kimi K2.5 and MiniMax M3 are level for coding, 38.6 against 39.2 on the Vibe Coding Index, so price and context decide. Pick Kimi K2.5 for a lower cost per solved task ($0.24 against $0.56) and work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads. Pick MiniMax M3 for output tokens 2.4x cheaper ($1.20 vs $2.85 per million) and a larger context window (1.05M against 262K tokens).
Which is cheaper, Kimi K2.5 or MiniMax M3?
Kimi K2.5 costs $0.532 per million input tokens and $2.85 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Kimi K2.5 costs $0.24 and MiniMax M3 $0.56.
Which has the bigger context window, Kimi K2.5 or MiniMax M3?
MiniMax M3, with 1.05M tokens against 262K.
How many benchmarks is the Kimi K2.5 vs MiniMax M3 comparison based on?
82 benchmarks have a result for both models as of October 22, 2026. Kimi K2.5's coding index rests on 3 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.