Pareto 26.10 Preview vs MiMo-V2.6-Pro
MiMo-V2.6-Pro costs 3.7x less per output token than Pareto 26.10 Preview ($0.87 vs $3.20 per million). Updated November 14, 2026; 1 benchmarks have a result for both.
Pareto 26.10 Preview or MiMo-V2.6-Pro: which to pick
Only MiMo-V2.6-Pro has a coding score, 61.8 on the Vibe Coding Index; Pareto 26.10 Preview has none, so the two cannot be ranked on coding.
Pick Pareto 26.10 Preview for work measured by GameBench 2, where it leads.
- Shared results
- 1
- Pareto 26.10 Preview only
- 0
- MiMo-V2.6-Pro only
- 81
- Like-for-like categories
- 1 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
Only MiMo-V2.6-Pro has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only MiMo-V2.6-Pro has a AA Intelligence Index result, 29.9.
Directional only
Web design
Design Arena: websites
No call
Only MiMo-V2.6-Pro has a Design Arena: websites result, 1311.
Directional only
General
Vals Index
No call
Only MiMo-V2.6-Pro has a Vals Index result, 57.8%.
Directional only
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
Pareto 26.10 Preview $0.0024, MiMo-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- Pareto 26.10 Preview not benchmarked, MiMo-V2.6-Pro 61.8 from 4 benchmarks.
- Widest category
- Coding, 17.4 points apart on average over 1 shared benchmark.
- Widest single gap
- GameBench 2: Pareto 26.10 Preview 88.3 against MiMo-V2.6-Pro 70.9, 17.4 points apart on a 0 to 100 scale.
- Output price
- Pareto 26.10 Preview $3.20 against MiMo-V2.6-Pro $0.87 per million output tokens, 3.7x apart.
- Context window
- Pareto 26.10 Preview 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 | Pareto 26.10 Preview | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Pareto 26.10 Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 64.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | Not measured | 1625 | Only MiMo-V2.6-Pro measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 31.3% | Only MiMo-V2.6-Pro measured |
| Vibe Code Bench (Vals AI) | Not measured | 85.2% | Only MiMo-V2.6-Pro measured |
| 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) | Not measured | 39.3% | Only MiMo-V2.6-Pro measured |
| 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 | Not measured | 60.9% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | Not measured | 34.8% | Only MiMo-V2.6-Pro measured |
| FrontierCode 2.0 | Not measured | 24.0% | Only MiMo-V2.6-Pro measured |
| ALE-Bench | Not measured | 1158.1 | Only MiMo-V2.6-Pro measured |
| 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 | Not measured | 1637 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: HTML | Not measured | 1622 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: from an image | Not measured | 1597 | Only MiMo-V2.6-Pro measured |
| GameBench 2 | 88.3 | 70.9 | Pareto 26.10 Preview |
| Terminal-Bench 4.0 | Not measured | 27.0% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 29.9 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| LiveBench research | Not measured | 84.8% | Only MiMo-V2.6-Pro measured |
| LiveBench browser | Not measured | 77.3% | Only MiMo-V2.6-Pro measured |
| LiveBench long agentic | Not measured | 36.4% | Only MiMo-V2.6-Pro measured |
| 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) | Not measured | 32.4% | Only MiMo-V2.6-Pro measured |
| Legal Research Bench (Vals AI) | Not measured | 47.1% | Only MiMo-V2.6-Pro measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.8% | Only MiMo-V2.6-Pro measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.9% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only MiMo-V2.6-Pro measured |
| APEX-Agents | Not measured | 54.4% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 79.6% | Only MiMo-V2.6-Pro measured |
| MysteryMechanism (Vals AI) | Not measured | 15.3% | Only MiMo-V2.6-Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 49.4% | Only MiMo-V2.6-Pro measured |
| HLE-Diamond (Artificial Analysis run) | Not measured | 15.2% | Only MiMo-V2.6-Pro measured |
| CritPt v2, hard subset (Artificial Analysis run) | Not measured | 34.0% | Only MiMo-V2.6-Pro measured |
| LMArena Text: hard prompts | Not measured | 1511 | Only MiMo-V2.6-Pro measured |
| LMArena Text: expert | Not measured | 1539 | Only MiMo-V2.6-Pro measured |
| LMArena Text: hard prompts in English | Not measured | 1517 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: diagrams | Not measured | 1283 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: homework | Not measured | 1265 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| ProofBench | Not measured | 70.0% | Only MiMo-V2.6-Pro measured |
| LMArena Text: math | Not measured | 1495 | Only MiMo-V2.6-Pro measured |
| LMArena Text: mathematical work | Not measured | 1514 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| AA-Omniscience | Not measured | -4.5 | Only MiMo-V2.6-Pro measured |
| LMArena Text: science | Not measured | 1504 | Only MiMo-V2.6-Pro measured |
| LMArena Text: medicine and healthcare | Not measured | 1492 | Only MiMo-V2.6-Pro measured |
| LMArena Text: legal and government | Not measured | 1486 | Only MiMo-V2.6-Pro measured |
| LMArena Text: business and finance | Not measured | 1466 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 15 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1311 | Only MiMo-V2.6-Pro measured |
| Design Arena: UI components | Not measured | 1333 | Only MiMo-V2.6-Pro measured |
| Design Arena: game dev | Not measured | 1312 | Only MiMo-V2.6-Pro measured |
| Design Arena: data viz | Not measured | 1336 | Only MiMo-V2.6-Pro measured |
| Design Arena: 3D | Not measured | 1319 | Only MiMo-V2.6-Pro measured |
| Design Arena: all code categories | Not measured | 1316 | Only MiMo-V2.6-Pro measured |
| Design Arena: SVG | Not measured | 1292 | Only MiMo-V2.6-Pro measured |
| LiveBench design | Not measured | 74.3% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | Not measured | 57.8% | Only MiMo-V2.6-Pro measured |
| LiveBench data analysis | Not measured | 72.3% | Only MiMo-V2.6-Pro measured |
| 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) | Not measured | 86.3% | Only MiMo-V2.6-Pro measured |
| GDPval-AA | Not measured | 1692 | Only MiMo-V2.6-Pro measured |
| LMArena Text | Not measured | 1492 | 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 | 1468 | Only MiMo-V2.6-Pro measured |
| LMArena Vision | Not measured | 1266 | Only MiMo-V2.6-Pro measured |
| LMArena Text: English | Not measured | 1503 | Only MiMo-V2.6-Pro measured |
| LMArena Text: non-English | Not measured | 1475 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Chinese | Not measured | 1528 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Russian | Not measured | 1477 | Only MiMo-V2.6-Pro measured |
| LMArena Text: multi-turn | Not measured | 1471 | Only MiMo-V2.6-Pro measured |
| LMArena Text: longer queries | Not measured | 1503 | Only MiMo-V2.6-Pro measured |
| LMArena Text: writing and language | Not measured | 1469 | Only MiMo-V2.6-Pro measured |
| LMArena Text: entertainment and media | Not measured | 1463 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: English | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: reading text | Not measured | 1274 | 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 | Pareto 26.10 Preview | 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 | Pareto 26.10 Preview | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Unbiased | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | October 1, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.80 | $0.435 |
| Output $/Mtok | $3.20 | $0.87 |
| Coding index | Not benchmarked | 61.8 |
| Independent measurements behind it | 0 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Pareto 26.10 Preview better than MiMo-V2.6-Pro for coding?
Only MiMo-V2.6-Pro has a coding score, 61.8 on the Vibe Coding Index; Pareto 26.10 Preview has none, so the two cannot be ranked on coding. Pick Pareto 26.10 Preview for work measured by GameBench 2, where it leads.
Which is cheaper, Pareto 26.10 Preview or MiMo-V2.6-Pro?
Pareto 26.10 Preview costs $0.80 per million input tokens and $3.20 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, Pareto 26.10 Preview or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Pareto 26.10 Preview vs MiMo-V2.6-Pro comparison based on?
1 benchmarks have a result for both models as of November 14, 2026. Pareto 26.10 Preview's coding index rests on 0 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.