Gemini 3.1 Pro Preview vs MiMo-V2.5-Pro
Gemini 3.1 Pro Preview leads MiMo-V2.5-Pro on coding, 32.3 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 13.1x less per output token ($0.9152 vs $12.00 per million). Updated October 22, 2026; 70 benchmarks have a result for both.
Gemini 3.1 Pro Preview or MiMo-V2.5-Pro: which to pick
Gemini 3.1 Pro Preview and MiMo-V2.5-Pro are level for coding, 32.3 against 31.6 on the Vibe Coding Index, so price and context decide.
Pick MiMo-V2.5-Pro for output tokens 13.1x cheaper ($0.9152 vs $12.00 per million) and a lower cost per solved task ($0.03 against $0.99). Pick Gemini 3.1 Pro Preview for work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.
- Shared results
- 70
- Gemini 3.1 Pro Preview only
- 63
- MiMo-V2.5-Pro only
- 0
- Like-for-like categories
- 8 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
Level: 32.3 against 31.6, inside 2 points.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 26.0.
Same board, both measured
Agentic work
AA Agentic Index
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 21.3 against 8.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 82.6%.
Same board, both measured
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 84.6%.
Same board, both measured
Web design
Design Arena: websites
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 1266 against 1233.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5-Pro
Gemini 3.1 Pro Preview $0.0080, MiMo-V2.5-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5-Pro
Gemini 3.1 Pro Preview $0.99, MiMo-V2.5-Pro $0.03.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
- Widest category
- Web design, 6.6 points apart on average over 8 shared benchmarks.
- Widest single gap
- MedCode (Vals AI): Gemini 3.1 Pro Preview 59.1% against MiMo-V2.5-Pro 32.5%, 26.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against MiMo-V2.5-Pro $0.9152 per million output tokens, 13.1x apart.
- Context window
- Gemini 3.1 Pro Preview takes 1.05M tokens, MiMo-V2.5-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 | Gemini 3.1 Pro Preview | Bars | MiMo-V2.5-Pro | Ties |
|---|---|---|---|---|
| Coding | 9 | 6 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 3 | 3 | ||
| Reasoning | 3 | 3 | ||
| Math | 2 | 1 | ||
| Knowledge | 7 | 2 | ||
| Web design | 2 | 6 | ||
| General | 19 | 3 | ||
| All shared boards | 46 | 24 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index96
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LMArena WebDev | 1447 | 1480 | MiMo-V2.5-Pro |
| AA Coding Index | 68.8 | 60.2 | Gemini 3.1 Pro Preview |
| LiveCodeBench (Vals AI) | 88.5% | 81.3% | Gemini 3.1 Pro Preview |
| SWE-bench Verified (Vals AI) | 78.8% | 74.0% | Gemini 3.1 Pro Preview |
| Terminal-Bench 4 (Vals AI) | 2.5% | 0.5% | Gemini 3.1 Pro Preview |
| Vibe Code Bench (Vals AI) | 32.0% | 34.1% | MiMo-V2.5-Pro |
| Code migration (Vals AI) | 17.3% | 21.6% | MiMo-V2.5-Pro |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IOI (Vals AI) | 51.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | 57.3% | Gemini 3.1 Pro Preview |
| Vibe Code Bench 1-100 (Vals AI) | 6.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SciCode | 58.7% | 50.6% | Gemini 3.1 Pro Preview |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | 43.2% | Gemini 3.1 Pro Preview |
| Terminal-Bench | 80.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| GSO-Bench | 22.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 72.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MirrorCode | 8.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1160.6 | 899.8 | Gemini 3.1 Pro Preview |
| LMArena Text: coding | 1484 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: software and IT | 1487 | 1495 | MiMo-V2.5-Pro |
| LMArena WebDev: React | 1438 | 1469 | MiMo-V2.5-Pro |
| LMArena WebDev: HTML | 1490 | 1473 | Gemini 3.1 Pro Preview |
| LMArena WebDev: from an image | 1481 | Not measured | Only Gemini 3.1 Pro Preview measured |
| SciCode | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 26.0 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | 21.3 | MiMo-V2.5-Pro |
| Design Arena: agents building web apps | 1125 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building full-stack apps | 1068 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building mobile apps | 1094 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Android apps | 1049 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Godot games | 1236 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building games | 1113 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | 1103 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | 1041 | Not measured | Only Gemini 3.1 Pro Preview measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Finance Agent (Vals AI) | 43.0% | 41.5% | Gemini 3.1 Pro Preview |
| Tax Agent Bench (Vals AI) | 9.3% | 11.5% | MiMo-V2.5-Pro |
| Legal Research Bench (Vals AI) | 20.7% | 15.9% | Gemini 3.1 Pro Preview |
| Excel Modeling Benchmark (Vals AI) | 52.6% | 55.2% | MiMo-V2.5-Pro |
| BioMysteryBench (Vals AI) | 60.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vals Science Index | 27.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | 95.6% | 94.2% | Gemini 3.1 Pro Preview |
| APEX-Agents | 35.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| METR time horizons | 77.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| BALROG | 57.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | 47.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| PostTrainBench | 22.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vending-Bench 2 | $911 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | 82.6% | Gemini 3.1 Pro Preview |
| MysteryMechanism (Vals AI) | 20.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | 88.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 86.6% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 35.7% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | 94.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI | 98.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI-2 | 77.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SimpleBench | 79.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Chess puzzles | 51.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Mystery game puzzles | 34.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| EBR-bench | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | 1485 | 1486 | MiMo-V2.5-Pro |
| LMArena Text: expert | 1483 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: hard prompts in English | 1480 | 1494 | MiMo-V2.5-Pro |
| LMArena Vision: diagrams | 1311 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: homework | 1316 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AIME | 98.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| OTIS Mock AIME | 95.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tiers 1 to 3 | 59.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ProofBench | 26.0% | 22.0% | Gemini 3.1 Pro Preview |
| LMArena Text: math | 1486 | 1481 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1478 | 1491 | MiMo-V2.5-Pro |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | 84.6% | Gemini 3.1 Pro Preview |
| LegalBench (Vals AI) | 87.4% | 77.1% | Gemini 3.1 Pro Preview |
| CaseLaw (Vals AI) | 64.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CorpFin (Vals AI) | 64.5% | 61.4% | Gemini 3.1 Pro Preview |
| TaxEval (Vals AI) | 72.9% | 73.8% | MiMo-V2.5-Pro |
| MortgageTax (Vals AI) | 69.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedQA (Vals AI) | 96.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedCode (Vals AI) | 59.1% | 32.5% | Gemini 3.1 Pro Preview |
| SimpleQA Verified | 73.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | 1497 | 1482 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1486 | 1473 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1487 | 1474 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1466 | MiMo-V2.5-Pro |
| FACTS Benchmark Suite | 67.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index26
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1233 | 1266 | MiMo-V2.5-Pro |
| Design Arena: UI components | 1224 | 1246 | MiMo-V2.5-Pro |
| Design Arena: game dev | 1202 | 1261 | MiMo-V2.5-Pro |
| Design Arena: data viz | 1209 | 1257 | MiMo-V2.5-Pro |
| Design Arena: 3D | 1234 | 1243 | MiMo-V2.5-Pro |
| Design Arena: all code categories | 1231 | 1265 | MiMo-V2.5-Pro |
| Design Arena: SVG | 1285 | 1181 | Gemini 3.1 Pro Preview |
| Design Arena: ASCII art | 1270 | 1156 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index193
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | 48.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedScribe (Vals AI) | 76.1% | 83.7% | MiMo-V2.5-Pro |
| Vals Multimodal Index | 56.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IFBench | 77.1% | 79.9% | MiMo-V2.5-Pro |
| Long context reasoning (AA-LCR) | 82.0% | 79.7% | Gemini 3.1 Pro Preview |
| DTBench | 97.1% | 84.5% | Gemini 3.1 Pro Preview |
| LMCA | 53.8% | 29.5% | Gemini 3.1 Pro Preview |
| CL-bench | 20.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ExploitBench | 26.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | 16.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text | 1480 | 1464 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1466 | 1475 | MiMo-V2.5-Pro |
| LMArena Text: creative writing | 1482 | 1438 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: English | 1478 | 1477 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1476 | 1448 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1507 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | 1459 | Gemini 3.1 Pro Preview |
| LMArena Text: Japanese | 1491 | 1410 | Gemini 3.1 Pro Preview |
| LMArena Text: Korean | 1455 | 1435 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1487 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1481 | 1469 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1497 | 1449 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | 1464 | Gemini 3.1 Pro Preview |
| LMArena Text: multi-turn | 1487 | 1476 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1481 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1451 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1438 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: Chinese | 1364 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | 1304 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: humor | 1322 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: captioning | 1345 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: recognizing things | 1330 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: creative writing | 1324 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Document | 1444 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 8 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.5-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-V2.5-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5-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 | Google Gemini 3.1 Pro Preview | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Maker | Xiaomi | |
| Weights | No public weights listed | Open weights |
| Released | February 19, 2026 | April 22, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.4575 |
| Output $/Mtok | $12.00 | $0.9152 |
| Coding index | 32.3 | 31.6 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | $0.99 | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than MiMo-V2.5-Pro for coding?
Gemini 3.1 Pro Preview and MiMo-V2.5-Pro are level for coding, 32.3 against 31.6 on the Vibe Coding Index, so price and context decide. Pick MiMo-V2.5-Pro for output tokens 13.1x cheaper ($0.9152 vs $12.00 per million) and a lower cost per solved task ($0.03 against $0.99). Pick Gemini 3.1 Pro Preview for work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.
Which is cheaper, Gemini 3.1 Pro Preview or MiMo-V2.5-Pro?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and MiMo-V2.5-Pro $0.03.
Which has the bigger context window, Gemini 3.1 Pro Preview or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.1 Pro Preview vs MiMo-V2.5-Pro comparison based on?
70 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.