Kimi K2.6 vs MiMo-V2.5-Pro
Kimi K2.6 leads MiMo-V2.5-Pro on coding, 52.1 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 4.4x less per output token ($0.9152 vs $4.00 per million). Updated October 22, 2026; 69 benchmarks have a result for both.
Kimi K2.6 or MiMo-V2.5-Pro: which to pick
Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4.
Pick MiMo-V2.5-Pro for output tokens 4.4x cheaper ($0.9152 vs $4.00 per million) and a lower cost per solved task ($0.03 against $0.35).
- Shared results
- 69
- Kimi K2.6 only
- 40
- MiMo-V2.5-Pro only
- 1
- 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
Kimi K2.6
Kimi K2.6 scores 52.1 against 31.6.
3 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K2.6
Kimi K2.6 leads, 27.0 against 26.0.
Same board, both measured
Agentic work
AA Agentic Index
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 21.3 against 20.5.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K2.6
Kimi K2.6 leads, 89.1% against 82.6%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2.6
Kimi K2.6 leads, 87.6% against 84.6%.
Same board, both measured
Web design
Design Arena: websites
Kimi K2.6
Kimi K2.6 leads, 1268 against 1266.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5-Pro
Kimi K2.6 $0.0029, MiMo-V2.5-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5-Pro
Kimi K2.6 $0.35, MiMo-V2.5-Pro $0.03.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.6 52.1 from 3 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
- Widest category
- Knowledge, 3.9 points apart on average over 9 shared benchmarks.
- Widest single gap
- LMCA: Kimi K2.6 37.3% against MiMo-V2.5-Pro 29.5%, 7.8 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.6 $4.00 against MiMo-V2.5-Pro $0.9152 per million output tokens, 4.4x apart.
- Context window
- Kimi K2.6 takes 262K tokens, MiMo-V2.5-Pro 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 K2.6 | Bars | MiMo-V2.5-Pro | Ties |
|---|---|---|---|---|
| Coding | 11 | 3 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 1 | 1 tie | |
| Reasoning | 3 | 3 | ||
| Math | 0 | 3 | ||
| Knowledge | 5 | 4 | ||
| Web design | 5 | 2 | 1 tie | |
| General | 5 | 17 | ||
| All shared boards | 34 | 33 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index113
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LMArena WebDev | 1509 | 1480 | Kimi K2.6 |
| AA Coding Index | 61.8 | 60.2 | Kimi K2.6 |
| LiveCodeBench (Vals AI) | 86.8% | 81.3% | Kimi K2.6 |
| SWE-bench Verified (Vals AI) | 76.2% | 74.0% | Kimi K2.6 |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only MiMo-V2.5-Pro measured |
| Vibe Code Bench (Vals AI) | 37.9% | 34.1% | Kimi K2.6 |
| Code migration (Vals AI) | 27.8% | 21.6% | Kimi K2.6 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Kimi K2.6 measured |
| Terminal-Bench 2.1 (Vals AI) | 53.6% | 57.3% | MiMo-V2.5-Pro |
| SciCode | 51.5% | 50.6% | Kimi K2.6 |
| Terminal-Bench Hard (Artificial Analysis run) | 43.9% | 43.2% | Kimi K2.6 |
| WeirdML | 55.9% | Not measured | Only Kimi K2.6 measured |
| ALE-Bench | 1092.7 | 899.8 | Kimi K2.6 |
| LMArena Text: coding | 1489 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: software and IT | 1484 | 1495 | MiMo-V2.5-Pro |
| LMArena WebDev: React | 1505 | 1469 | Kimi K2.6 |
| LMArena WebDev: HTML | 1485 | 1473 | Kimi K2.6 |
| LMArena WebDev: from an image | 1521 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 27.0 | 26.0 | Kimi K2.6 |
| Epoch Capabilities Index | 150.9 | Not measured | Only Kimi K2.6 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 20.5 | 21.3 | MiMo-V2.5-Pro |
| Design Arena: agents building web apps | 1268 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building full-stack apps | 1155 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building mobile apps | 1156 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building Android apps | 1161 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building Godot games | 1120 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building games | 1141 | Not measured | Only Kimi K2.6 measured |
| Design Arena: HTML slides | 1135 | Not measured | Only Kimi K2.6 measured |
| Design Arena: PowerPoint slides | 1103 | Not measured | Only Kimi K2.6 measured |
| Design Arena: spreadsheets | 1276 | Not measured | Only Kimi K2.6 measured |
| Finance Agent (Vals AI) | 44.9% | 41.5% | Kimi K2.6 |
| Tax Agent Bench (Vals AI) | 12.4% | 11.5% | Kimi K2.6 |
| Legal Research Bench (Vals AI) | 15.9% | 15.9% | Tie |
| Excel Modeling Benchmark (Vals AI) | 57.9% | 55.2% | Kimi K2.6 |
| τ²-Bench Telecom | 95.9% | 94.2% | Kimi K2.6 |
| OSWorld 2.0 | 4.6% | Not measured | Only Kimi K2.6 measured |
| Vending-Bench 2 | $6,205 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 89.1% | 82.6% | Kimi K2.6 |
| MMMU Pro (Vals AI) | 86.3% | Not measured | Only Kimi K2.6 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 86.6% | Kimi K2.6 |
| Humanity's Last Exam (Artificial Analysis run) | 37.5% | 35.7% | Kimi K2.6 |
| GPQA Diamond (Epoch AI run) | 90.8% | Not measured | Only Kimi K2.6 measured |
| Chess puzzles | 20.0% | Not measured | Only Kimi K2.6 measured |
| Mystery game puzzles | 18.0% | Not measured | Only Kimi K2.6 measured |
| EBR-bench | 2.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | 1470 | 1486 | MiMo-V2.5-Pro |
| LMArena Text: expert | 1491 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: hard prompts in English | 1471 | 1494 | MiMo-V2.5-Pro |
| LMArena Vision: diagrams | 1298 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: homework | 1310 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 96.1% | Not measured | Only Kimi K2.6 measured |
| FrontierMath, tiers 1 to 3 | 57.2% | Not measured | Only Kimi K2.6 measured |
| FrontierMath, tier 4 | 25.6% | Not measured | Only Kimi K2.6 measured |
| ProofBench | 16.0% | 22.0% | MiMo-V2.5-Pro |
| LMArena Text: math | 1474 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: mathematical work | 1480 | 1491 | MiMo-V2.5-Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index54
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 87.6% | 84.6% | Kimi K2.6 |
| LegalBench (Vals AI) | 84.7% | 77.1% | Kimi K2.6 |
| CaseLaw (Vals AI) | 61.2% | Not measured | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 66.7% | 61.4% | Kimi K2.6 |
| TaxEval (Vals AI) | 74.7% | 73.8% | Kimi K2.6 |
| MortgageTax (Vals AI) | 65.8% | Not measured | Only Kimi K2.6 measured |
| MedCode (Vals AI) | 40.1% | 32.5% | Kimi K2.6 |
| SimpleQA Verified | 34.9% | Not measured | Only Kimi K2.6 measured |
| LMArena Text: science | 1468 | 1482 | MiMo-V2.5-Pro |
| LMArena Text: medicine and healthcare | 1457 | 1473 | MiMo-V2.5-Pro |
| LMArena Text: legal and government | 1462 | 1474 | MiMo-V2.5-Pro |
| LMArena Text: business and finance | 1445 | 1466 | MiMo-V2.5-Pro |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1266 | Kimi K2.6 |
| Design Arena: UI components | 1263 | 1246 | Kimi K2.6 |
| Design Arena: game dev | 1250 | 1261 | MiMo-V2.5-Pro |
| Design Arena: data viz | 1249 | 1257 | MiMo-V2.5-Pro |
| Design Arena: 3D | 1267 | 1243 | Kimi K2.6 |
| Design Arena: all code categories | 1271 | 1265 | Kimi K2.6 |
| Design Arena: SVG | 1181 | 1181 | Tie |
| Design Arena: ASCII art | 1165 | 1156 | Kimi K2.6 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index517
| Benchmark | Kimi K2.6 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 56.6% | Not measured | Only Kimi K2.6 measured |
| SAGE (Vals AI) | 50.2% | Not measured | Only Kimi K2.6 measured |
| MedScribe (Vals AI) | 78.2% | 83.7% | MiMo-V2.5-Pro |
| Vals Multimodal Index | 56.4% | Not measured | Only Kimi K2.6 measured |
| IFBench | 76.0% | 79.9% | MiMo-V2.5-Pro |
| Long context reasoning (AA-LCR) | 81.0% | 79.7% | Kimi K2.6 |
| DTBench | 90.9% | 84.5% | Kimi K2.6 |
| LMCA | 37.3% | 29.5% | Kimi K2.6 |
| Furniture assembly | 21.7% | Not measured | Only Kimi K2.6 measured |
| ExploitBench | 18.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text | 1455 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: instruction following | 1451 | 1475 | MiMo-V2.5-Pro |
| LMArena Text: creative writing | 1434 | 1438 | MiMo-V2.5-Pro |
| LMArena Vision | 1282 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: English | 1460 | 1477 | MiMo-V2.5-Pro |
| LMArena Text: non-English | 1446 | 1448 | MiMo-V2.5-Pro |
| LMArena Text: Chinese | 1520 | 1507 | Kimi K2.6 |
| LMArena Text: German | 1451 | 1459 | MiMo-V2.5-Pro |
| LMArena Text: Japanese | 1443 | 1410 | Kimi K2.6 |
| LMArena Text: Korean | 1427 | 1435 | MiMo-V2.5-Pro |
| LMArena Text: French | 1471 | 1487 | MiMo-V2.5-Pro |
| LMArena Text: Spanish | 1464 | 1469 | MiMo-V2.5-Pro |
| LMArena Text: Russian | 1446 | 1449 | MiMo-V2.5-Pro |
| LMArena Text: Polish | 1438 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: multi-turn | 1453 | 1476 | MiMo-V2.5-Pro |
| LMArena Text: longer queries | 1468 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: writing and language | 1439 | 1451 | MiMo-V2.5-Pro |
| LMArena Text: entertainment and media | 1428 | 1438 | MiMo-V2.5-Pro |
| LMArena Vision: English | 1287 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: Chinese | 1346 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: reading text | 1291 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: humor | 1280 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: creative writing | 1273 | Not measured | Only Kimi K2.6 measured |
| LMArena Document | 1451 | Not measured | Only Kimi K2.6 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 | Kimi K2.6 | MiMo-V2.5-Pro | 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
MiMo-V2.5-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5-Pro 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 K2.6 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Maker | Moonshot AI | Xiaomi |
| Weights | Open weights | Open weights |
| Released | April 20, 2026 | April 22, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.95 | $0.4575 |
| Output $/Mtok | $4.00 | $0.9152 |
| Coding index | 52.1 | 31.6 |
| Independent measurements behind it | 3 | 4 |
| Cost per solved task | $0.35 | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.6 better than MiMo-V2.5-Pro for coding?
Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4. Pick MiMo-V2.5-Pro for output tokens 4.4x cheaper ($0.9152 vs $4.00 per million) and a lower cost per solved task ($0.03 against $0.35).
Which is cheaper, Kimi K2.6 or MiMo-V2.5-Pro?
Kimi K2.6 costs $0.95 per million input tokens and $4.00 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Kimi K2.6 costs $0.35 and MiMo-V2.5-Pro $0.03.
Which has the bigger context window, Kimi K2.6 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 262K.
How many benchmarks is the Kimi K2.6 vs MiMo-V2.5-Pro comparison based on?
69 benchmarks have a result for both models as of October 22, 2026. Kimi K2.6's coding index rests on 3 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.