Kimi K3.1 Pro vs MiMo-V2.6-Pro
Kimi K3.1 Pro leads MiMo-V2.6-Pro on coding, 82.2 to 65.4 on the Vibe Coding Index, and MiMo-V2.6-Pro costs 11.5x less per output token ($0.87 vs $10.00 per million). Updated October 29, 2026; 32 benchmarks have a result for both.
Kimi K3.1 Pro or MiMo-V2.6-Pro: which to pick
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 65.4 for MiMo-V2.6-Pro.
Pick MiMo-V2.6-Pro for output tokens 11.5x cheaper ($0.87 vs $10.00 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 32
- Kimi K3.1 Pro only
- 3
- MiMo-V2.6-Pro only
- 42
- 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 K3.1 Pro
Kimi K3.1 Pro scores 82.2 against 65.4.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 46.0 against 29.9.
Same board, both measured
Web design
Design Arena: websites
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 1325 against 1307.
Same board, both measured
General
Vals Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 62.5% against 57.8%.
Same board, both measured
Long documents
Listed context window
MiMo-V2.6-Pro
MiMo-V2.6-Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Pro
Kimi K3.1 Pro $0.0070, MiMo-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- Kimi K3.1 Pro 82.2 from 4 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
- Widest category
- Math, 21.0 points apart on average over 1 shared benchmark.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Kimi K3.1 Pro 63.6% against MiMo-V2.6-Pro 31.3%, 43.1 points apart on a 0 to 100 scale.
- Output price
- Kimi K3.1 Pro $10.00 against MiMo-V2.6-Pro $0.87 per million output tokens, 11.5x apart.
- Context window
- Kimi K3.1 Pro takes 1.05M tokens, MiMo-V2.6-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 K3.1 Pro | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 7 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 3 | 4 | ||
| Reasoning | 3 | 0 | ||
| Math | 1 | 0 | ||
| Web design | 6 | 2 | ||
| General | 2 | 0 | 1 tie | |
| All shared boards | 23 | 8 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index72
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | 81.8% | 81.5% | Kimi K3.1 Pro |
| LMArena WebDev | 1695 | 1625 | Kimi K3.1 Pro |
| Terminal-Bench 4 (Vals AI) | 63.6% | 31.3% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 84.9% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | Not measured | 43.0% | Only MiMo-V2.6-Pro measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Pro measured |
| IOI (Vals AI) | 81.9% | 39.3% | Kimi K3.1 Pro |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.8% | Only MiMo-V2.6-Pro measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| CyberBench (Vals AI) | Not measured | 72.9% | Only MiMo-V2.6-Pro measured |
| SciCode | 60.8% | 60.9% | MiMo-V2.6-Pro |
| ALE-Bench | 1932.8 | 1158.1 | Kimi K3.1 Pro |
| LMArena Text: coding | Not measured | 1534 | Only MiMo-V2.6-Pro measured |
| LMArena Text: software and IT | Not measured | 1528 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: React | 1701 | 1635 | Kimi K3.1 Pro |
| LMArena WebDev: HTML | 1706 | 1624 | Kimi K3.1 Pro |
| LMArena WebDev: from an image | Not measured | 1598 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.0 | 29.9 | Kimi K3.1 Pro |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1290 | Only MiMo-V2.6-Pro measured |
| LiveBench research | 77.9% | 76.7% | Kimi K3.1 Pro |
| LiveBench browser | 75.9% | 77.3% | MiMo-V2.6-Pro |
| LiveBench long agentic | 39.1% | 35.2% | Kimi K3.1 Pro |
| SREBench (Vals AI) | Not measured | 3.0% | Only MiMo-V2.6-Pro measured |
| Finance Agent (Vals AI) | Not measured | 57.3% | Only MiMo-V2.6-Pro measured |
| Tax Agent Bench (Vals AI) | 24.9% | 32.4% | MiMo-V2.6-Pro |
| Legal Research Bench (Vals AI) | 37.5% | 47.1% | MiMo-V2.6-Pro |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.7% | 13.8% | MiMo-V2.6-Pro |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.9% | Only MiMo-V2.6-Pro measured |
| BioMysteryBench (Vals AI) | 75.6% | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench-Science (Vals AI) | 31.4% | 2.9% | Kimi K3.1 Pro |
| Vals Science Index | 44.4% | Not measured | Only Kimi K3.1 Pro measured |
| APEX-Agents | Not measured | 54.4% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | 91.1% | 79.6% | Kimi K3.1 Pro |
| MysteryMechanism (Vals AI) | 26.1% | 15.3% | Kimi K3.1 Pro |
| Humanity's Last Exam (Artificial Analysis run) | 52.5% | 49.4% | Kimi K3.1 Pro |
| LMArena Text: hard prompts | Not measured | 1511 | Only MiMo-V2.6-Pro measured |
| LMArena Text: expert | Not measured | 1543 | Only MiMo-V2.6-Pro measured |
| LMArena Text: hard prompts in English | Not measured | 1520 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: diagrams | Not measured | 1281 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: homework | Not measured | 1264 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| ProofBench | 91.0% | 70.0% | Kimi K3.1 Pro |
| LMArena Text: math | Not measured | 1501 | Only MiMo-V2.6-Pro measured |
| LMArena Text: mathematical work | Not measured | 1513 | Only MiMo-V2.6-Pro measured |
| MathArena | 59.6% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| LMArena Text: science | Not measured | 1506 | Only MiMo-V2.6-Pro measured |
| LMArena Text: medicine and healthcare | Not measured | 1495 | Only MiMo-V2.6-Pro measured |
| LMArena Text: legal and government | Not measured | 1485 | Only MiMo-V2.6-Pro measured |
| LMArena Text: business and finance | Not measured | 1468 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 15 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index62
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1325 | 1307 | Kimi K3.1 Pro |
| Design Arena: UI components | 1400 | 1334 | Kimi K3.1 Pro |
| Design Arena: game dev | 1410 | 1315 | Kimi K3.1 Pro |
| Design Arena: data viz | 1300 | 1335 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1451 | 1332 | Kimi K3.1 Pro |
| Design Arena: all code categories | 1354 | 1316 | Kimi K3.1 Pro |
| Design Arena: SVG | 1328 | 1284 | Kimi K3.1 Pro |
| LiveBench design | 77.8% | 78.5% | MiMo-V2.6-Pro |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | 62.5% | 57.8% | Kimi K3.1 Pro |
| LiveBench data analysis | 79.1% | 72.3% | Kimi K3.1 Pro |
| Public Benefits Bench (Vals AI) | Not measured | 68.9% | Only MiMo-V2.6-Pro measured |
| SAGE (Vals AI) | Not measured | 84.5% | Only MiMo-V2.6-Pro measured |
| MedScribe (Vals AI) | Not measured | 88.3% | Only MiMo-V2.6-Pro measured |
| Long context reasoning (AA-LCR) | 86.3% | 86.3% | Tie |
| LMArena Text | Not measured | 1491 | Only MiMo-V2.6-Pro measured |
| LMArena Text: instruction following | Not measured | 1492 | Only MiMo-V2.6-Pro measured |
| LMArena Text: creative writing | Not measured | 1464 | Only MiMo-V2.6-Pro measured |
| LMArena Vision | Not measured | 1263 | Only MiMo-V2.6-Pro measured |
| LMArena Text: English | Not measured | 1504 | Only MiMo-V2.6-Pro measured |
| LMArena Text: non-English | Not measured | 1474 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Chinese | Not measured | 1531 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Russian | Not measured | 1479 | Only MiMo-V2.6-Pro measured |
| LMArena Text: multi-turn | Not measured | 1466 | Only MiMo-V2.6-Pro measured |
| LMArena Text: longer queries | Not measured | 1502 | Only MiMo-V2.6-Pro measured |
| LMArena Text: writing and language | Not measured | 1468 | Only MiMo-V2.6-Pro measured |
| LMArena Text: entertainment and media | Not measured | 1465 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: English | Not measured | 1268 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 28 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3.1 Pro | MiMo-V2.6-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-V2.6-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-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 K3.1 Pro | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Moonshot AI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | October 23, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.435 |
| Output $/Mtok | $10.00 | $0.87 |
| Coding index | 82.2 | 65.4 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3.1 Pro better than MiMo-V2.6-Pro for coding?
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 65.4 for MiMo-V2.6-Pro. Pick MiMo-V2.6-Pro for output tokens 11.5x cheaper ($0.87 vs $10.00 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, Kimi K3.1 Pro or MiMo-V2.6-Pro?
Kimi K3.1 Pro costs $2.00 per million input tokens and $10.00 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for neither of them.
Which has the bigger context window, Kimi K3.1 Pro or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Kimi K3.1 Pro vs MiMo-V2.6-Pro comparison based on?
32 benchmarks have a result for both models as of October 29, 2026. Kimi K3.1 Pro's coding index rests on 4 independent benchmarks and MiMo-V2.6-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.