Pareto 26.10 Preview vs MiMo-V2.5
MiMo-V2.5 costs 1.6x less per output token than Pareto 26.10 Preview ($2.00 vs $3.20 per million). Updated November 14, 2026; 1 benchmarks have a result for both.
Pareto 26.10 Preview or MiMo-V2.5: which to pick
Only MiMo-V2.5 has a coding score, 50.0 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 a larger context window (1.05M against 1M tokens) and work measured by GameBench 2, where it leads.
- Shared results
- 1
- Pareto 26.10 Preview only
- 0
- MiMo-V2.5 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-V2.5 has a coding score, so no call is made.
One side not measured
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
No call
Only MiMo-V2.5 has a Design Arena: websites result, 1260.
Directional only
Long documents
Listed context window
Pareto 26.10 Preview
Pareto 26.10 Preview takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
Pareto 26.10 Preview $0.0024, MiMo-V2.5 $0.0014 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
- Pareto 26.10 Preview not benchmarked, MiMo-V2.5 50.0 from 3 benchmarks.
- Widest category
- Coding, 64.2 points apart on average over 1 shared benchmark.
- Widest single gap
- GameBench 2: Pareto 26.10 Preview 88.3 against MiMo-V2.5 24.1, 64.2 points apart on a 0 to 100 scale.
- Output price
- Pareto 26.10 Preview $3.20 against MiMo-V2.5 $2.00 per million output tokens, 1.6x apart.
- Context window
- Pareto 26.10 Preview takes 1.05M tokens, MiMo-V2.5 1M.
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-V2.5 | 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-V2.5 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1438 | Only MiMo-V2.5 measured |
| 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 |
| Vibe Code Bench (Vals AI) | Not measured | 42.2% | Only MiMo-V2.5 measured |
| Code migration (Vals AI) | Not measured | 14.2% | Only MiMo-V2.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| SciCode | Not measured | 43.9% | Only MiMo-V2.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 41.7% | Only MiMo-V2.5 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | Not measured | 0.0% | Only MiMo-V2.5 measured |
| ALE-Bench | Not measured | 514.0 | Only MiMo-V2.5 measured |
| 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 | Not measured | 1423 | Only MiMo-V2.5 measured |
| LMArena WebDev: HTML | Not measured | 1429 | Only MiMo-V2.5 measured |
| GameBench 2 | 88.3 | 24.1 | Pareto 26.10 Preview |
| Neither model has a result on the other 36 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.5 | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.8 | Only MiMo-V2.5 measured |
| Finance Agent (Vals AI) | Not measured | 36.7% | Only MiMo-V2.5 measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.8% | Only MiMo-V2.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 9.1% | Only MiMo-V2.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.1% | Only MiMo-V2.5 measured |
| τ²-Bench Telecom | Not measured | 90.6% | Only MiMo-V2.5 measured |
| Toolathlon-Verified | Not measured | 49.1% | Only MiMo-V2.5 measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 81.6% | Only MiMo-V2.5 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) | Not measured | 27.2% | Only MiMo-V2.5 measured |
| LMArena Text: hard prompts | Not measured | 1450 | Only MiMo-V2.5 measured |
| LMArena Text: expert | Not measured | 1460 | Only MiMo-V2.5 measured |
| LMArena Text: hard prompts in English | Not measured | 1461 | Only MiMo-V2.5 measured |
| LMArena Vision: diagrams | Not measured | 1270 | Only MiMo-V2.5 measured |
| LMArena Vision: homework | Not measured | 1261 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.5 | Leader |
|---|---|---|---|
| ProofBench | Not measured | 16.0% | Only MiMo-V2.5 measured |
| LMArena Text: math | Not measured | 1436 | Only MiMo-V2.5 measured |
| LMArena Text: mathematical work | Not measured | 1449 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | Pareto 26.10 Preview | 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 | 1439 | Only MiMo-V2.5 measured |
| LMArena Text: medicine and healthcare | Not measured | 1431 | Only MiMo-V2.5 measured |
| LMArena Text: legal and government | Not measured | 1423 | 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 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1260 | Only MiMo-V2.5 measured |
| Design Arena: UI components | Not measured | 1249 | Only MiMo-V2.5 measured |
| Design Arena: game dev | Not measured | 1242 | Only MiMo-V2.5 measured |
| Design Arena: data viz | Not measured | 1249 | Only MiMo-V2.5 measured |
| Design Arena: 3D | Not measured | 1197 | Only MiMo-V2.5 measured |
| Design Arena: all code categories | Not measured | 1252 | Only MiMo-V2.5 measured |
| Design Arena: SVG | Not measured | 1175 | Only MiMo-V2.5 measured |
| Design Arena: ASCII art | Not measured | 1139 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index29 boards, none shared
| Benchmark | Pareto 26.10 Preview | MiMo-V2.5 | Leader |
|---|---|---|---|
| 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) | Not measured | 73.0% | Only MiMo-V2.5 measured |
| GDPval-AA | Not measured | 1004 | Only MiMo-V2.5 measured |
| LMArena Text | Not measured | 1427 | Only MiMo-V2.5 measured |
| LMArena Text: instruction following | Not measured | 1434 | Only MiMo-V2.5 measured |
| LMArena Text: creative writing | Not measured | 1391 | Only MiMo-V2.5 measured |
| LMArena Vision | Not measured | 1248 | Only MiMo-V2.5 measured |
| LMArena Text: English | Not measured | 1447 | Only MiMo-V2.5 measured |
| LMArena Text: non-English | Not measured | 1404 | Only MiMo-V2.5 measured |
| LMArena Text: Chinese | Not measured | 1470 | Only MiMo-V2.5 measured |
| LMArena Text: German | Not measured | 1419 | Only MiMo-V2.5 measured |
| LMArena Text: Japanese | Not measured | 1305 | Only MiMo-V2.5 measured |
| LMArena Text: Korean | Not measured | 1356 | Only MiMo-V2.5 measured |
| LMArena Text: French | Not measured | 1450 | Only MiMo-V2.5 measured |
| LMArena Text: Spanish | Not measured | 1416 | Only MiMo-V2.5 measured |
| LMArena Text: Russian | Not measured | 1395 | Only MiMo-V2.5 measured |
| LMArena Text: Polish | Not measured | 1410 | 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 | 1408 | 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 | 1324 | Only MiMo-V2.5 measured |
| LMArena Vision: reading text | Not measured | 1257 | Only MiMo-V2.5 measured |
| LMArena Vision: humor | Not measured | 1226 | Only MiMo-V2.5 measured |
| LMArena Vision: recognizing things | Not measured | 1195 | 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 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Pareto 26.10 Preview | 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 | Pareto 26.10 Preview | Xiaomi MiMo-V2.5 |
|---|---|---|
| Maker | Unbiased | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | October 1, 2026 | April 22, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $0.80 | $0.40 |
| Output $/Mtok | $3.20 | $2.00 |
| Coding index | Not benchmarked | 50.0 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Pareto 26.10 Preview better than MiMo-V2.5 for coding?
Only MiMo-V2.5 has a coding score, 50.0 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 a larger context window (1.05M against 1M tokens) and work measured by GameBench 2, where it leads.
Which is cheaper, Pareto 26.10 Preview or MiMo-V2.5?
Pareto 26.10 Preview costs $0.80 per million input tokens and $3.20 per million output tokens; MiMo-V2.5 costs $0.40 and $2.00. Cost per solved task is known for MiMo-V2.5 only.
Which has the bigger context window, Pareto 26.10 Preview or MiMo-V2.5?
Pareto 26.10 Preview, with 1.05M tokens against 1M.
How many benchmarks is the Pareto 26.10 Preview vs MiMo-V2.5 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-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.