Kimi K3.1 Pro vs MiMo-V2.5
Kimi K3.1 Pro leads MiMo-V2.5 on coding, 82.2 to 50.0 on the Vibe Coding Index, and MiMo-V2.5 costs 8.9x less per output token ($1.119 vs $10.00 per million). Updated October 29, 2026; 18 benchmarks have a result for both.
Kimi K3.1 Pro or MiMo-V2.5: which to pick
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 50.0 for MiMo-V2.5.
Pick MiMo-V2.5 for output tokens 8.9x cheaper ($1.119 vs $10.00 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 18
- Kimi K3.1 Pro only
- 17
- MiMo-V2.5 only
- 60
- 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 K3.1 Pro
Kimi K3.1 Pro scores 82.2 against 50.0.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Kimi K3.1 Pro has a AA Intelligence Index result, 46.0.
Directional only
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5 has a GPQA Diamond result, 81.6%.
Directional only
Knowledge
MMLU Pro
No call
Only MiMo-V2.5 has a MMLU Pro result, 82.9%.
Directional only
Web design
Design Arena: websites
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 1325 against 1265.
Same board, both measured
General
Vals Index
No call
Only Kimi K3.1 Pro has a Vals Index result, 62.5%.
Directional only
Long documents
Listed context window
MiMo-V2.5
MiMo-V2.5 takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
Kimi K3.1 Pro $0.0070, MiMo-V2.5 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5 has the number, $0.01.
Directional only
At a glance
- Coding index
- Kimi K3.1 Pro 82.2 from 4 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
- Widest category
- Math, 75.0 points apart on average over 1 shared benchmark.
- Widest single gap
- ProofBench: Kimi K3.1 Pro 91.0% against MiMo-V2.5 16.0%, 75.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K3.1 Pro $10.00 against MiMo-V2.5 $1.119 per million output tokens, 8.9x apart.
- Context window
- Kimi K3.1 Pro takes 1.05M tokens, MiMo-V2.5 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-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 1 | 0 | ||
| Math | 1 | 0 | ||
| Web design | 7 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 18 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | Leader |
|---|---|---|---|
| LiveBench coding | 81.8% | Not measured | Only Kimi K3.1 Pro measured |
| LMArena WebDev | 1695 | 1438 | Kimi K3.1 Pro |
| AA Coding Index | Not measured | 56.8 | Only MiMo-V2.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 81.5% | Only MiMo-V2.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 71.0% | Only MiMo-V2.5 measured |
| Terminal-Bench 4 (Vals AI) | 63.6% | Not measured | Only Kimi K3.1 Pro measured |
| Vibe Code Bench (Vals AI) | 84.9% | 42.2% | Kimi K3.1 Pro |
| Code migration (Vals AI) | Not measured | 14.2% | Only MiMo-V2.5 measured |
| IOI (Vals AI) | 81.9% | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| SciCode | 60.8% | 43.9% | Kimi K3.1 Pro |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 41.7% | Only MiMo-V2.5 measured |
| ALE-Bench | 1932.8 | 514.0 | Kimi K3.1 Pro |
| LMArena Text: coding | Not measured | 1469 | Only MiMo-V2.5 measured |
| LMArena Text: software and IT | Not measured | 1463 | Only MiMo-V2.5 measured |
| LMArena WebDev: React | 1701 | 1425 | Kimi K3.1 Pro |
| LMArena WebDev: HTML | 1706 | 1430 | Kimi K3.1 Pro |
| Neither model has a result on the other 26 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.0 | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.8 | Only MiMo-V2.5 measured |
| LiveBench research | 77.9% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench browser | 75.9% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench long agentic | 39.1% | Not measured | Only Kimi K3.1 Pro measured |
| Finance Agent (Vals AI) | Not measured | 36.7% | Only MiMo-V2.5 measured |
| Tax Agent Bench (Vals AI) | 24.9% | 7.8% | Kimi K3.1 Pro |
| Legal Research Bench (Vals AI) | 37.5% | 9.1% | Kimi K3.1 Pro |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.7% | Not measured | Only Kimi K3.1 Pro measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.1% | Only MiMo-V2.5 measured |
| BioMysteryBench (Vals AI) | 75.6% | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench-Science (Vals AI) | 31.4% | Not measured | Only Kimi K3.1 Pro measured |
| Vals Science Index | 44.4% | Not measured | Only Kimi K3.1 Pro measured |
| τ²-Bench Telecom | Not measured | 90.6% | Only MiMo-V2.5 measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 81.6% | Only MiMo-V2.5 measured |
| LiveBench reasoning | 91.1% | Not measured | Only Kimi K3.1 Pro measured |
| MysteryMechanism (Vals AI) | 26.1% | Not measured | Only Kimi K3.1 Pro measured |
| MMMU Pro (Vals AI) | Not measured | 80.0% | Only MiMo-V2.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.9% | Only MiMo-V2.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 52.5% | 27.2% | Kimi K3.1 Pro |
| LMArena Text: hard prompts | Not measured | 1450 | Only MiMo-V2.5 measured |
| LMArena Text: expert | Not measured | 1459 | Only MiMo-V2.5 measured |
| LMArena Text: hard prompts in English | Not measured | 1460 | Only MiMo-V2.5 measured |
| LMArena Vision: diagrams | Not measured | 1269 | Only MiMo-V2.5 measured |
| LMArena Vision: homework | Not measured | 1262 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | Leader |
|---|---|---|---|
| ProofBench | 91.0% | 16.0% | Kimi K3.1 Pro |
| LMArena Text: math | Not measured | 1437 | Only MiMo-V2.5 measured |
| LMArena Text: mathematical work | Not measured | 1451 | Only MiMo-V2.5 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 index10 boards, none shared
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 82.9% | Only MiMo-V2.5 measured |
| LegalBench (Vals AI) | Not measured | 78.9% | Only MiMo-V2.5 measured |
| CorpFin (Vals AI) | Not measured | 59.9% | Only MiMo-V2.5 measured |
| TaxEval (Vals AI) | Not measured | 71.8% | Only MiMo-V2.5 measured |
| MortgageTax (Vals AI) | Not measured | 59.3% | Only MiMo-V2.5 measured |
| MedCode (Vals AI) | Not measured | 31.9% | Only MiMo-V2.5 measured |
| LMArena Text: science | Not measured | 1440 | Only MiMo-V2.5 measured |
| LMArena Text: medicine and healthcare | Not measured | 1432 | Only MiMo-V2.5 measured |
| LMArena Text: legal and government | Not measured | 1424 | Only MiMo-V2.5 measured |
| LMArena Text: business and finance | Not measured | 1432 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1325 | 1265 | Kimi K3.1 Pro |
| Design Arena: UI components | 1400 | 1252 | Kimi K3.1 Pro |
| Design Arena: game dev | 1410 | 1250 | Kimi K3.1 Pro |
| Design Arena: data viz | 1300 | 1251 | Kimi K3.1 Pro |
| Design Arena: 3D | 1451 | 1213 | Kimi K3.1 Pro |
| Design Arena: all code categories | 1354 | 1259 | Kimi K3.1 Pro |
| Design Arena: SVG | 1328 | 1179 | Kimi K3.1 Pro |
| Design Arena: ASCII art | Not measured | 1140 | Only MiMo-V2.5 measured |
| LiveBench design | 77.8% | Not measured | Only Kimi K3.1 Pro measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | Leader |
|---|---|---|---|
| Vals Index | 62.5% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench data analysis | 79.1% | Not measured | Only Kimi K3.1 Pro measured |
| MedScribe (Vals AI) | Not measured | 72.2% | Only MiMo-V2.5 measured |
| Vals Multimodal Index | Not measured | 52.8% | Only MiMo-V2.5 measured |
| IFBench | Not measured | 67.1% | Only MiMo-V2.5 measured |
| Long context reasoning (AA-LCR) | 86.3% | 73.0% | Kimi K3.1 Pro |
| LMArena Text | Not measured | 1428 | Only MiMo-V2.5 measured |
| LMArena Text: instruction following | Not measured | 1435 | Only MiMo-V2.5 measured |
| LMArena Text: creative writing | Not measured | 1393 | Only MiMo-V2.5 measured |
| LMArena Vision | Not measured | 1247 | Only MiMo-V2.5 measured |
| LMArena Text: English | Not measured | 1447 | Only MiMo-V2.5 measured |
| LMArena Text: non-English | Not measured | 1405 | Only MiMo-V2.5 measured |
| LMArena Text: Chinese | Not measured | 1469 | Only MiMo-V2.5 measured |
| LMArena Text: German | Not measured | 1421 | Only MiMo-V2.5 measured |
| LMArena Text: Japanese | Not measured | 1306 | Only MiMo-V2.5 measured |
| LMArena Text: Korean | Not measured | 1361 | Only MiMo-V2.5 measured |
| LMArena Text: French | Not measured | 1448 | Only MiMo-V2.5 measured |
| LMArena Text: Spanish | Not measured | 1415 | Only MiMo-V2.5 measured |
| LMArena Text: Russian | Not measured | 1395 | Only MiMo-V2.5 measured |
| LMArena Text: Polish | Not measured | 1413 | Only MiMo-V2.5 measured |
| LMArena Text: multi-turn | Not measured | 1445 | Only MiMo-V2.5 measured |
| LMArena Text: longer queries | Not measured | 1445 | Only MiMo-V2.5 measured |
| LMArena Text: writing and language | Not measured | 1409 | Only MiMo-V2.5 measured |
| LMArena Text: entertainment and media | Not measured | 1399 | Only MiMo-V2.5 measured |
| LMArena Vision: English | Not measured | 1259 | Only MiMo-V2.5 measured |
| LMArena Vision: Chinese | Not measured | 1326 | Only MiMo-V2.5 measured |
| LMArena Vision: reading text | Not measured | 1256 | Only MiMo-V2.5 measured |
| LMArena Vision: humor | Not measured | 1226 | Only MiMo-V2.5 measured |
| LMArena Vision: recognizing things | Not measured | 1189 | Only MiMo-V2.5 measured |
| LMArena Vision: creative writing | Not measured | 1230 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3.1 Pro | MiMo-V2.5 | 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 costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5 costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5 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-V2.5 |
|---|---|---|
| Maker | Moonshot AI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | October 23, 2026 | April 22, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.2595 |
| Output $/Mtok | $10.00 | $1.119 |
| Coding index | 82.2 | 50.0 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3.1 Pro better than MiMo-V2.5 for coding?
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 50.0 for MiMo-V2.5. Pick MiMo-V2.5 for output tokens 8.9x cheaper ($1.119 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-V2.5?
Kimi K3.1 Pro costs $2.00 per million input tokens and $10.00 per million output tokens; MiMo-V2.5 costs $0.2595 and $1.119. Cost per solved task is known for MiMo-V2.5 only.
Which has the bigger context window, Kimi K3.1 Pro or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 1.05M.
How many benchmarks is the Kimi K3.1 Pro vs MiMo-V2.5 comparison based on?
18 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-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.