Inkling vs MiMo-V2.5
Updated October 21, 2026. 68 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Inkling for coding: it scores 49.7 on the Vibe Coding Index against 34.0 for MiMo-V2.5.
Pick MiMo-V2.5 when output tokens cost 17.0x less, or when a solved task costs $0.01 against $0.76.
- Shared results
- 68
- Inkling only
- 34
- MiMo-V2.5 only
- 12
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Inkling
Inkling scores 49.7 against 34.0.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Inkling
Inkling leads, 25.0 against 21.8.
Same board, both measured
Agentic work
AA Agentic Index
Inkling
Inkling leads, 22.5 against 15.8.
Same board, both measured
Reasoning
GPQA Diamond
Inkling
Inkling leads, 87.1% against 81.6%.
Same board, both measured
Knowledge
MMLU Pro
Inkling
Inkling leads, 86.3% against 82.9%.
Same board, both measured
Web design
Design Arena: websites
MiMo-V2.5
MiMo-V2.5 leads, 1266 against 1224.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
MiMo-V2.5
MiMo-V2.5 takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
Inkling $0.0030, MiMo-V2.5 $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5
Inkling $0.76, MiMo-V2.5 $0.01.
Published attempt cost and pass rate
At a glance
- Coding index
- Inkling 49.7 from 2 benchmarks, MiMo-V2.5 34.0 from 1 benchmark.
- Widest category
- Agentic work, 12.0 points apart on average over 5 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Inkling 19.2% against MiMo-V2.5 42.2%, 23.0 points apart on a 0 to 100 scale.
- Output price
- Inkling $4.05 against MiMo-V2.5 $0.238 per million output tokens, 17.0x apart.
- Context window
- Inkling takes 524K 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 | Inkling | Bars | MiMo-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 5 | 8 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 1 | ||
| Reasoning | 5 | 2 | ||
| Math | 2 | 1 | ||
| Knowledge | 10 | 0 | ||
| Web design | 0 | 8 | ||
| General | 12 | 9 | ||
| All shared boards | 39 | 29 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index58
| Benchmark | Inkling | MiMo-V2.5 | Leader |
|---|---|---|---|
| LiveBench coding | 64.0% | Not measured | Only Inkling measured |
| LMArena WebDev | 1414 | 1438 | MiMo-V2.5 |
| AA Coding Index | 52.1 | 56.8 | MiMo-V2.5 |
| LiveCodeBench (Vals AI) | 85.5% | 81.5% | Inkling |
| SWE-bench Verified (Vals AI) | 77.6% | 71.0% | Inkling |
| Terminal-Bench 4 (Vals AI) | 0.5% | Not measured | Only Inkling measured |
| Vibe Code Bench (Vals AI) | 19.2% | 42.2% | MiMo-V2.5 |
| Code migration (Vals AI) | 11.8% | 14.2% | MiMo-V2.5 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Inkling measured |
| IOI (Vals AI) | 14.9% | Not measured | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | 47.6% | 60.7% | MiMo-V2.5 |
| Vibe Code Bench 1-100 (Vals AI) | 7.3% | Not measured | Only Inkling measured |
| SkillsBench (Vals AI) | 26.1% | Not measured | Only Inkling measured |
| CyberBench (Vals AI) | 66.8% | Not measured | Only Inkling measured |
| SciCode | 47.0% | 43.9% | Inkling |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 41.7% | Only MiMo-V2.5 measured |
| FrontierCode | 14.0% | Not measured | Only Inkling measured |
| FrontierSWE | 4.1% | Not measured | Only Inkling measured |
| WeirdML | 32.3% | Not measured | Only Inkling measured |
| ALE-Bench | 946.0 | 514.0 | Inkling |
| LMArena Text: coding | 1466 | 1469 | MiMo-V2.5 |
| LMArena Text: software and IT | 1465 | 1463 | Inkling |
| LMArena WebDev: React | 1404 | 1425 | MiMo-V2.5 |
| LMArena WebDev: HTML | 1399 | 1429 | MiMo-V2.5 |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Inkling | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.0 | 21.8 | Inkling |
| Epoch Capabilities Index | 148.4 | Not measured | Only Inkling measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Inkling | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 22.5 | 15.8 | Inkling |
| Design Arena: agents building web apps | 1196 | Not measured | Only Inkling measured |
| LiveBench research | 59.9% | Not measured | Only Inkling measured |
| LiveBench browser | 16.0% | Not measured | Only Inkling measured |
| LiveBench long agentic | 14.1% | Not measured | Only Inkling measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Inkling measured |
| Finance Agent (Vals AI) | 46.6% | 36.7% | Inkling |
| Tax Agent Bench (Vals AI) | 15.3% | 7.8% | Inkling |
| Legal Research Bench (Vals AI) | 28.4% | 9.1% | Inkling |
| Harvey's Legal Agent Benchmark (Vals AI) | 3.8% | Not measured | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | 38.4% | 55.1% | MiMo-V2.5 |
| τ²-Bench Telecom | Not measured | 90.6% | Only MiMo-V2.5 measured |
| APEX-Agents | 33.8% | Not measured | Only Inkling measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Inkling | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 87.1% | 81.6% | Inkling |
| LiveBench reasoning | 78.3% | Not measured | Only Inkling measured |
| MMMU Pro (Vals AI) | 78.5% | 80.0% | MiMo-V2.5 |
| GPQA Diamond (Artificial Analysis run) | 87.2% | 84.9% | Inkling |
| Humanity's Last Exam (Artificial Analysis run) | 31.9% | 27.2% | Inkling |
| GPQA Diamond (Epoch AI run) | 88.3% | Not measured | Only Inkling measured |
| ARC-AGI | 79.5% | Not measured | Only Inkling measured |
| ARC-AGI-2 | 36.5% | Not measured | Only Inkling measured |
| SimpleBench | 50.0% | Not measured | Only Inkling measured |
| Chess puzzles | 21.0% | Not measured | Only Inkling measured |
| LMArena Text: hard prompts | 1451 | 1450 | Inkling |
| LMArena Text: expert | 1466 | 1459 | Inkling |
| LMArena Text: hard prompts in English | 1448 | 1461 | MiMo-V2.5 |
| 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 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Inkling | MiMo-V2.5 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 88.9% | Not measured | Only Inkling measured |
| FrontierMath, tiers 1 to 3 | 33.3% | Not measured | Only Inkling measured |
| FrontierMath, tier 4 | 4.9% | Not measured | Only Inkling measured |
| ProofBench | 0.0% | 16.0% | MiMo-V2.5 |
| LMArena Text: math | 1479 | 1436 | Inkling |
| LMArena Text: mathematical work | 1460 | 1451 | Inkling |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Inkling | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | 86.3% | 82.9% | Inkling |
| LegalBench (Vals AI) | 83.0% | 78.9% | Inkling |
| CorpFin (Vals AI) | 68.6% | 59.9% | Inkling |
| TaxEval (Vals AI) | 75.3% | 71.8% | Inkling |
| MortgageTax (Vals AI) | 64.0% | 59.3% | Inkling |
| MedCode (Vals AI) | 41.2% | 31.9% | Inkling |
| SimpleQA Verified | 40.3% | Not measured | Only Inkling measured |
| LMArena Text: science | 1455 | 1440 | Inkling |
| LMArena Text: medicine and healthcare | 1447 | 1432 | Inkling |
| LMArena Text: legal and government | 1448 | 1425 | Inkling |
| LMArena Text: business and finance | 1438 | 1432 | Inkling |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Inkling | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1224 | 1266 | MiMo-V2.5 |
| Design Arena: UI components | 1200 | 1257 | MiMo-V2.5 |
| Design Arena: game dev | 1166 | 1249 | MiMo-V2.5 |
| Design Arena: data viz | 1160 | 1249 | MiMo-V2.5 |
| Design Arena: 3D | 1161 | 1216 | MiMo-V2.5 |
| Design Arena: all code categories | 1206 | 1260 | MiMo-V2.5 |
| Design Arena: SVG | 1109 | 1178 | MiMo-V2.5 |
| Design Arena: ASCII art | 1089 | 1141 | MiMo-V2.5 |
| LiveBench design | 58.3% | Not measured | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index129
| Benchmark | Inkling | MiMo-V2.5 | Leader |
|---|---|---|---|
| Vals Index | 29.0% | Not measured | Only Inkling measured |
| LiveBench data analysis | 72.8% | Not measured | Only Inkling measured |
| Public Benefits Bench (Vals AI) | 58.5% | Not measured | Only Inkling measured |
| SAGE (Vals AI) | 36.5% | 43.3% | MiMo-V2.5 |
| MedScribe (Vals AI) | 85.4% | 72.2% | Inkling |
| Vals Multimodal Index | 49.4% | 52.8% | MiMo-V2.5 |
| IFBench | Not measured | 67.1% | Only MiMo-V2.5 measured |
| Long context reasoning (AA-LCR) | 77.3% | 73.0% | Inkling |
| DTBench | 87.5% | Not measured | Only Inkling measured |
| LMCA | 37.6% | Not measured | Only Inkling measured |
| LMArena Text | 1442 | 1428 | Inkling |
| LMArena Text: instruction following | 1425 | 1435 | MiMo-V2.5 |
| LMArena Text: creative writing | 1390 | 1393 | MiMo-V2.5 |
| LMArena Vision | Not measured | 1247 | Only MiMo-V2.5 measured |
| LMArena Text: English | 1442 | 1447 | MiMo-V2.5 |
| LMArena Text: non-English | 1434 | 1405 | Inkling |
| LMArena Text: Chinese | 1493 | 1469 | Inkling |
| LMArena Text: German | 1445 | 1421 | Inkling |
| LMArena Text: Japanese | 1429 | 1306 | Inkling |
| LMArena Text: Korean | 1403 | 1361 | Inkling |
| LMArena Text: French | 1455 | 1448 | Inkling |
| LMArena Text: Spanish | 1449 | 1414 | Inkling |
| LMArena Text: Russian | 1430 | 1396 | Inkling |
| LMArena Text: Polish | 1450 | 1413 | Inkling |
| LMArena Text: multi-turn | 1437 | 1445 | MiMo-V2.5 |
| LMArena Text: longer queries | 1435 | 1445 | MiMo-V2.5 |
| LMArena Text: writing and language | 1404 | 1409 | MiMo-V2.5 |
| LMArena Text: entertainment and media | 1394 | 1399 | MiMo-V2.5 |
| 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 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Inkling | 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 | Thinking Machines Inkling | Xiaomi MiMo-V2.5 |
|---|---|---|
| Maker | Thinking Machines | Xiaomi |
| Weights | Open weights | Open weights |
| Released | July 17, 2026 | April 22, 2026 |
| Context window | 524K | 1.05M |
| Input $/Mtok | $1.00 | $0.119 |
| Output $/Mtok | $4.05 | $0.238 |
| Coding index | 49.7 | 34.0 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.76 | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Inkling better than MiMo-V2.5 for coding?
Pick Inkling for coding: it scores 49.7 on the Vibe Coding Index against 34.0 for MiMo-V2.5. Pick MiMo-V2.5 when output tokens cost 17.0x less, or when a solved task costs $0.01 against $0.76.
Which is cheaper, Inkling or MiMo-V2.5?
Inkling costs $1.00 per million input tokens and $4.05 per million output tokens; MiMo-V2.5 costs $0.119 and $0.238. Per solved SWE-bench Verified task, Inkling costs $0.76 and MiMo-V2.5 $0.01.
Which has the bigger context window, Inkling or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 524K.
How many benchmarks is the Inkling vs MiMo-V2.5 comparison based on?
68 benchmarks have a result for both models as of October 21, 2026. Inkling's coding index rests on 2 independent benchmarks and MiMo-V2.5's on 1. Where only one model has a result, the page says so instead of naming a winner.