Gemini 3.1 Pro Preview vs MiMo-V2.6-Pro
Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 62 shared
Decision reading
Pick MiMo-V2.6-Pro for coding: it scores 72.6 on the Vibe Coding Index against 35.3 for Gemini 3.1 Pro Preview.
Pick Gemini 3.1 Pro Preview when what matters is IOI (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
Model AGemini 3.1 Pro PreviewGoogle35.3/1001 independent benchmark$0.99 per solved taskModel BMiMo-V2.6-ProXiaomi72.6/1002 independent benchmarksNo cost per solved task
- Shared results
- 62
- Gemini 3.1 Pro Preview only
- 69
- MiMo-V2.6-Pro only
- 11
- 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
MiMo-V2.6-Pro
MiMo-V2.6-Pro scores 72.6 against 35.3.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 against 29.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.1 Pro Preview has a AA Agentic Index result, 8.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.1 Pro Preview has a GPQA Diamond result, 95.5%.
Directional only
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.1 Pro Preview has a MMLU Pro result, 91.0%.
Directional only
Web design
Design Arena: websites
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 1308 against 1234.
Same board, both measured
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
Gemini 3.1 Pro Preview $0.0080, MiMo-V2.6-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.1 Pro Preview has the number, $0.99.
Directional only
At a glance
- Coding index
- Gemini 3.1 Pro Preview 35.3 from 1 benchmark, MiMo-V2.6-Pro 72.6 from 2 benchmarks.
- Widest category
- Math, 17.3 points apart on average over 3 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 3.1 Pro Preview 32.0% against MiMo-V2.6-Pro 85.2%, 53.2 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against MiMo-V2.6-Pro $0.87 per million output tokens, 13.8x apart.
- Context window
- Gemini 3.1 Pro 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 | Gemini 3.1 Pro Preview | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 3 | 11 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 8 | ||
| Reasoning | 3 | 4 | ||
| Math | 0 | 3 | ||
| Knowledge | 2 | 3 | ||
| Web design | 0 | 6 | ||
| General | 10 | 8 | ||
| All shared boards | 18 | 44 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index311
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 81.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | 1447 | 1625 | MiMo-V2.6-Pro |
| AA Coding Index | 68.8 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveCodeBench (Vals AI) | 88.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SWE-bench Verified (Vals AI) | 78.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 4 (Vals AI) | 2.5% | 31.3% | MiMo-V2.6-Pro |
| Vibe Code Bench (Vals AI) | 32.0% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | 17.3% | 43.0% | MiMo-V2.6-Pro |
| ProgramBench (Vals AI) | 0.0% | 0.5% | MiMo-V2.6-Pro |
| IOI (Vals AI) | 51.8% | 39.3% | Gemini 3.1 Pro Preview |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | 67.8% | Gemini 3.1 Pro Preview |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| Vibe Code Bench 1-100 (Vals AI) | 6.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CyberBench (Vals AI) | Not measured | 72.9% | Only MiMo-V2.6-Pro measured |
| SciCode | 58.7% | 60.9% | MiMo-V2.6-Pro |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 | 1158.1 | Gemini 3.1 Pro Preview |
| LMArena Text: coding | 1484 | 1533 | MiMo-V2.6-Pro |
| LMArena Text: software and IT | 1487 | 1528 | MiMo-V2.6-Pro |
| LMArena WebDev: React | 1438 | 1639 | MiMo-V2.6-Pro |
| LMArena WebDev: HTML | 1490 | 1616 | MiMo-V2.6-Pro |
| LMArena WebDev: from an image | 1481 | 1598 | MiMo-V2.6-Pro |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 46.3 | MiMo-V2.6-Pro |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building web apps | 1125 | 1291 | MiMo-V2.6-Pro |
| 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 | 1055 | 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 | 1114 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | 1153 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | 1064 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveBench research | Not measured | 76.7% | Only MiMo-V2.6-Pro measured |
| LiveBench browser | Not measured | 88.0% | Only MiMo-V2.6-Pro measured |
| LiveBench long agentic | Not measured | 47.5% | Only MiMo-V2.6-Pro measured |
| SREBench (Vals AI) | 0.0% | 3.0% | MiMo-V2.6-Pro |
| Finance Agent (Vals AI) | 43.0% | 57.3% | MiMo-V2.6-Pro |
| Tax Agent Bench (Vals AI) | 9.3% | 32.4% | MiMo-V2.6-Pro |
| Legal Research Bench (Vals AI) | 20.7% | 47.1% | MiMo-V2.6-Pro |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.8% | Only MiMo-V2.6-Pro measured |
| Excel Modeling Benchmark (Vals AI) | 52.6% | 62.9% | MiMo-V2.6-Pro |
| BioMysteryBench (Vals AI) | 60.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | 2.9% | MiMo-V2.6-Pro |
| Vals Science Index | 27.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | 95.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| APEX-Agents | 35.1% | 54.4% | MiMo-V2.6-Pro |
| 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 11 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveBench reasoning | Not measured | 79.6% | Only MiMo-V2.6-Pro measured |
| MysteryMechanism (Vals AI) | 20.7% | 15.3% | Gemini 3.1 Pro Preview |
| MMMU Pro (Vals AI) | 88.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 49.4% | MiMo-V2.6-Pro |
| 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 | 1511 | MiMo-V2.6-Pro |
| LMArena Text: expert | 1483 | 1541 | MiMo-V2.6-Pro |
| LMArena Text: hard prompts in English | 1480 | 1520 | MiMo-V2.6-Pro |
| LMArena Vision: diagrams | 1311 | 1281 | Gemini 3.1 Pro Preview |
| LMArena Vision: homework | 1316 | 1264 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.6-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% | 70.0% | MiMo-V2.6-Pro |
| LMArena Text: math | 1486 | 1500 | MiMo-V2.6-Pro |
| LMArena Text: mathematical work | 1478 | 1511 | MiMo-V2.6-Pro |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LegalBench (Vals AI) | 87.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CaseLaw (Vals AI) | 64.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CorpFin (Vals AI) | 64.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| TaxEval (Vals AI) | 72.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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% | 45.0% | Gemini 3.1 Pro Preview |
| SimpleQA Verified | 73.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | 1497 | 1506 | MiMo-V2.6-Pro |
| LMArena Text: medicine and healthcare | 1486 | 1497 | MiMo-V2.6-Pro |
| LMArena Text: legal and government | 1487 | 1485 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1468 | MiMo-V2.6-Pro |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | 1308 | MiMo-V2.6-Pro |
| Design Arena: UI components | 1226 | 1338 | MiMo-V2.6-Pro |
| Design Arena: game dev | 1203 | 1314 | MiMo-V2.6-Pro |
| Design Arena: data viz | 1209 | 1337 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1234 | 1330 | MiMo-V2.6-Pro |
| Design Arena: all code categories | 1231 | 1317 | MiMo-V2.6-Pro |
| Design Arena: SVG | 1285 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: ASCII art | 1270 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveBench design | Not measured | 78.5% | Only MiMo-V2.6-Pro measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index108
| Benchmark | Gemini 3.1 Pro 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) | 53.8% | 68.9% | MiMo-V2.6-Pro |
| SAGE (Vals AI) | 48.7% | 45.0% | Gemini 3.1 Pro Preview |
| MedScribe (Vals AI) | 76.1% | 88.3% | MiMo-V2.6-Pro |
| Vals Multimodal Index | 56.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IFBench | 77.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Long context reasoning (AA-LCR) | 82.0% | 86.3% | MiMo-V2.6-Pro |
| DTBench | 97.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMCA | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: instruction following | 1466 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: creative writing | 1482 | 1466 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | 1263 | Gemini 3.1 Pro Preview |
| LMArena Text: English | 1478 | 1504 | MiMo-V2.6-Pro |
| LMArena Text: non-English | 1476 | 1474 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1529 | MiMo-V2.6-Pro |
| LMArena Text: German | 1490 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Japanese | 1491 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Korean | 1455 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: French | 1487 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Spanish | 1481 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Russian | 1497 | 1479 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: multi-turn | 1487 | 1466 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1501 | MiMo-V2.6-Pro |
| LMArena Text: writing and language | 1481 | 1470 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1465 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | 1268 | Gemini 3.1 Pro Preview |
| LMArena Vision: Chinese | 1364 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | 1304 | 1270 | Gemini 3.1 Pro Preview |
| 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 6 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2.6-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
Gemini 3.1 Pro Preview$0.0080Fits in one request
MiMo-V2.6-Pro$0.0009Fits in one request
MiMo-V2.6-Pro costs less
Repository review
50K input + 3K output tokens
Gemini 3.1 Pro Preview$0.136Fits in one request
MiMo-V2.6-Pro$0.024Fits in one request
MiMo-V2.6-Pro costs less
Agent loop
200K input + 10K output tokens
Gemini 3.1 Pro Preview$0.520Fits in one request
MiMo-V2.6-Pro$0.096Fits in one request
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 | Google Gemini 3.1 Pro Preview | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Xiaomi | |
| Weights | No public weights listed | Open weights |
| Released | February 19, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.435 |
| Output $/Mtok | $12.00 | $0.87 |
| Coding index | 35.3 | 72.6 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.99 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than MiMo-V2.6-Pro for coding?
Pick MiMo-V2.6-Pro for coding: it scores 72.6 on the Vibe Coding Index against 35.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview when what matters is IOI (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
Which is cheaper, Gemini 3.1 Pro Preview or MiMo-V2.6-Pro?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for Gemini 3.1 Pro Preview only.
Which has the bigger context window, Gemini 3.1 Pro Preview or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.1 Pro Preview vs MiMo-V2.6-Pro comparison based on?
62 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Pro Preview's coding index rests on 1 independent benchmark and MiMo-V2.6-Pro's on 2. Where only one model has a result, the page says so instead of naming a winner.