MiniMax M3 vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads MiniMax M3 on coding, 65.4 to 39.2 on the Vibe Coding Index, and MiMo-V2.6-Pro costs 1.4x less per output token ($0.87 vs $1.20 per million). Updated October 22, 2026; 66 benchmarks have a result for both.
MiniMax M3 or MiMo-V2.6-Pro: which to pick
Pick MiMo-V2.6-Pro for coding: it scores 65.4 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 4 benchmarks against 6.
Pick MiniMax M3 for work measured by LMArena Vision: homework or MedCode (Vals AI), where it leads.
- Shared results
- 66
- MiniMax M3 only
- 50
- MiMo-V2.6-Pro only
- 7
- 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
MiMo-V2.6-Pro
MiMo-V2.6-Pro scores 65.4 against 39.2.
6 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 against 29.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M3 has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M3 has a MMLU Pro result, 84.2%.
Directional only
Web design
Design Arena: websites
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 1307 against 1257.
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
MiniMax M3 $0.0009, MiMo-V2.6-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M3 has the number, $0.56.
Directional only
At a glance
- Coding index
- MiniMax M3 39.2 from 6 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
- Widest category
- Math, 24.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- LiveBench browser: MiniMax M3 8.0% against MiMo-V2.6-Pro 88.0%, 80.0 points apart on a 0 to 100 scale.
- Output price
- MiniMax M3 $1.20 against MiMo-V2.6-Pro $0.87 per million output tokens, 1.4x apart.
- Context window
- MiniMax M3 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 | MiniMax M3 | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 0 | 15 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 9 | ||
| Reasoning | 1 | 6 | ||
| Math | 0 | 3 | ||
| Knowledge | 1 | 4 | ||
| Web design | 0 | 7 | ||
| General | 2 | 17 | ||
| All shared boards | 4 | 62 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index015
| Benchmark | MiniMax M3 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | 70.9% | 81.5% | MiMo-V2.6-Pro |
| LMArena WebDev | 1482 | 1625 | MiMo-V2.6-Pro |
| AA Coding Index | 58.6 | Not measured | Only MiniMax M3 measured |
| LiveCodeBench (Vals AI) | 82.2% | Not measured | Only MiniMax M3 measured |
| SWE-bench Verified (Vals AI) | 75.0% | Not measured | Only MiniMax M3 measured |
| Terminal-Bench 4 (Vals AI) | 1.0% | 31.3% | MiMo-V2.6-Pro |
| Vibe Code Bench (Vals AI) | 47.6% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | 19.9% | 43.0% | MiMo-V2.6-Pro |
| 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) | 53.6% | 67.8% | MiMo-V2.6-Pro |
| SWE-bench Multimodal (Vals AI) | 33.3% | 41.3% | MiMo-V2.6-Pro |
| Vibe Code Bench 1-100 (Vals AI) | 9.2% | Not measured | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | 51.5% | Not measured | Only MiniMax M3 measured |
| CyberBench (Vals AI) | 65.0% | 72.9% | MiMo-V2.6-Pro |
| SciCode | 47.1% | 60.9% | MiMo-V2.6-Pro |
| Terminal-Bench Hard (Artificial Analysis run) | 42.4% | Not measured | Only MiniMax M3 measured |
| FrontierCode | 14.7% | Not measured | Only MiniMax M3 measured |
| ALE-Bench | 640.0 | 1158.1 | MiMo-V2.6-Pro |
| LMArena Text: coding | 1470 | 1533 | MiMo-V2.6-Pro |
| LMArena Text: software and IT | 1466 | 1528 | MiMo-V2.6-Pro |
| LMArena WebDev: React | 1478 | 1639 | MiMo-V2.6-Pro |
| LMArena WebDev: HTML | 1455 | 1616 | MiMo-V2.6-Pro |
| LMArena WebDev: from an image | 1470 | 1598 | MiMo-V2.6-Pro |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | MiniMax M3 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.2 | 46.3 | MiMo-V2.6-Pro |
| Epoch Capabilities Index | 146.9 | Not measured | Only MiniMax M3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | MiniMax M3 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 29.5 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building web apps | 1200 | 1290 | MiMo-V2.6-Pro |
| Design Arena: agents building full-stack apps | 1197 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | 1169 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building Android apps | 1159 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building games | 1159 | Not measured | Only MiniMax M3 measured |
| Design Arena: HTML slides | 1130 | Not measured | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | 1181 | Not measured | Only MiniMax M3 measured |
| Design Arena: spreadsheets | 1039 | Not measured | Only MiniMax M3 measured |
| LiveBench research | 68.0% | 76.7% | MiMo-V2.6-Pro |
| LiveBench browser | 8.0% | 88.0% | MiMo-V2.6-Pro |
| LiveBench long agentic | 12.4% | 47.5% | MiMo-V2.6-Pro |
| SREBench (Vals AI) | Not measured | 3.0% | Only MiMo-V2.6-Pro measured |
| Finance Agent (Vals AI) | 48.3% | 57.3% | MiMo-V2.6-Pro |
| Tax Agent Bench (Vals AI) | 20.6% | 32.4% | MiMo-V2.6-Pro |
| Legal Research Bench (Vals AI) | 29.8% | 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) | 47.8% | 62.9% | MiMo-V2.6-Pro |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only MiMo-V2.6-Pro measured |
| τ²-Bench Telecom | 88.9% | Not measured | Only MiniMax M3 measured |
| APEX-Agents | 37.7% | 54.4% | MiMo-V2.6-Pro |
| OSWorld 2.0 | 4.6% | Not measured | Only MiniMax M3 measured |
| Vending-Bench 2 | $2,158 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | MiniMax M3 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | Not measured | Only MiniMax M3 measured |
| LiveBench reasoning | 74.5% | 79.6% | MiMo-V2.6-Pro |
| MysteryMechanism (Vals AI) | Not measured | 15.3% | Only MiMo-V2.6-Pro measured |
| MMMU Pro (Vals AI) | 81.2% | Not measured | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | 92.9% | Not measured | Only MiniMax M3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.0% | 49.4% | MiMo-V2.6-Pro |
| GPQA Diamond (Epoch AI run) | 90.9% | Not measured | Only MiniMax M3 measured |
| SimpleBench | 45.8% | Not measured | Only MiniMax M3 measured |
| Chess puzzles | 13.0% | Not measured | Only MiniMax M3 measured |
| Mystery game puzzles | 8.0% | Not measured | Only MiniMax M3 measured |
| LMArena Text: hard prompts | 1447 | 1511 | MiMo-V2.6-Pro |
| LMArena Text: expert | 1461 | 1541 | MiMo-V2.6-Pro |
| LMArena Text: hard prompts in English | 1455 | 1520 | MiMo-V2.6-Pro |
| LMArena Vision: diagrams | 1266 | 1281 | MiMo-V2.6-Pro |
| LMArena Vision: homework | 1268 | 1264 | MiniMax M3 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | MiniMax M3 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | Not measured | Only MiniMax M3 measured |
| ProofBench | 18.0% | 70.0% | MiMo-V2.6-Pro |
| LMArena Text: math | 1429 | 1500 | MiMo-V2.6-Pro |
| LMArena Text: mathematical work | 1448 | 1511 | MiMo-V2.6-Pro |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | MiniMax M3 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 84.2% | Not measured | Only MiniMax M3 measured |
| LegalBench (Vals AI) | 85.4% | Not measured | Only MiniMax M3 measured |
| CorpFin (Vals AI) | 68.1% | Not measured | Only MiniMax M3 measured |
| TaxEval (Vals AI) | 72.7% | Not measured | Only MiniMax M3 measured |
| MortgageTax (Vals AI) | 68.4% | Not measured | Only MiniMax M3 measured |
| MedCode (Vals AI) | 46.3% | 45.0% | MiniMax M3 |
| LMArena Text: science | 1452 | 1506 | MiMo-V2.6-Pro |
| LMArena Text: medicine and healthcare | 1441 | 1497 | MiMo-V2.6-Pro |
| LMArena Text: legal and government | 1437 | 1485 | MiMo-V2.6-Pro |
| LMArena Text: business and finance | 1434 | 1468 | MiMo-V2.6-Pro |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | MiniMax M3 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1257 | 1307 | MiMo-V2.6-Pro |
| Design Arena: UI components | 1243 | 1337 | MiMo-V2.6-Pro |
| Design Arena: game dev | 1211 | 1313 | MiMo-V2.6-Pro |
| Design Arena: data viz | 1236 | 1337 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1208 | 1329 | MiMo-V2.6-Pro |
| Design Arena: all code categories | 1246 | 1316 | MiMo-V2.6-Pro |
| Design Arena: SVG | 1160 | Not measured | Only MiniMax M3 measured |
| Design Arena: ASCII art | 1161 | Not measured | Only MiniMax M3 measured |
| LiveBench design | 66.2% | 78.5% | MiMo-V2.6-Pro |
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
| Benchmark | MiniMax M3 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | Not measured | 57.8% | Only MiMo-V2.6-Pro measured |
| LiveBench data analysis | 76.2% | 72.3% | MiniMax M3 |
| Public Benefits Bench (Vals AI) | 64.1% | 68.9% | MiMo-V2.6-Pro |
| SAGE (Vals AI) | 50.6% | 45.0% | MiniMax M3 |
| MedScribe (Vals AI) | 87.3% | 88.3% | MiMo-V2.6-Pro |
| Vals Multimodal Index | 60.0% | Not measured | Only MiniMax M3 measured |
| IFBench | 82.9% | Not measured | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 83.0% | 86.3% | MiMo-V2.6-Pro |
| DTBench | 78.9% | Not measured | Only MiniMax M3 measured |
| LMCA | 33.7% | Not measured | Only MiniMax M3 measured |
| Surface Evolver Bench | 55.0% | Not measured | Only MiniMax M3 measured |
| LMArena Text | 1433 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: instruction following | 1433 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: creative writing | 1404 | 1466 | MiMo-V2.6-Pro |
| LMArena Vision | 1251 | 1263 | MiMo-V2.6-Pro |
| LMArena Text: English | 1443 | 1504 | MiMo-V2.6-Pro |
| LMArena Text: non-English | 1420 | 1474 | MiMo-V2.6-Pro |
| LMArena Text: Chinese | 1466 | 1529 | MiMo-V2.6-Pro |
| LMArena Text: German | 1428 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Japanese | 1380 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Korean | 1373 | Not measured | Only MiniMax M3 measured |
| LMArena Text: French | 1444 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Spanish | 1433 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Russian | 1426 | 1479 | MiMo-V2.6-Pro |
| LMArena Text: Polish | 1423 | Not measured | Only MiniMax M3 measured |
| LMArena Text: multi-turn | 1443 | 1466 | MiMo-V2.6-Pro |
| LMArena Text: longer queries | 1446 | 1501 | MiMo-V2.6-Pro |
| LMArena Text: writing and language | 1419 | 1470 | MiMo-V2.6-Pro |
| LMArena Text: entertainment and media | 1403 | 1465 | MiMo-V2.6-Pro |
| LMArena Vision: English | 1263 | 1268 | MiMo-V2.6-Pro |
| LMArena Vision: Chinese | 1311 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: reading text | 1259 | 1270 | MiMo-V2.6-Pro |
| LMArena Vision: humor | 1235 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | 1197 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: creative writing | 1234 | Not measured | Only MiniMax M3 measured |
| LMArena Document | 1435 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M3 | 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
MiniMax M3 costs less
Agent loop
200K input + 10K output tokens
MiniMax M3 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 | MiniMax M3 | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | MiniMax | Xiaomi |
| Weights | Open weights | Open weights |
| Released | May 31, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $0.435 |
| Output $/Mtok | $1.20 | $0.87 |
| Coding index | 39.2 | 65.4 |
| Independent measurements behind it | 6 | 4 |
| Cost per solved task | $0.56 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M3 better than MiMo-V2.6-Pro for coding?
Pick MiMo-V2.6-Pro for coding: it scores 65.4 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 4 benchmarks against 6. Pick MiniMax M3 for work measured by LMArena Vision: homework or MedCode (Vals AI), where it leads.
Which is cheaper, MiniMax M3 or MiMo-V2.6-Pro?
MiniMax M3 costs $0.30 per million input tokens and $1.20 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for MiniMax M3 only.
Which has the bigger context window, MiniMax M3 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the MiniMax M3 vs MiMo-V2.6-Pro comparison based on?
66 benchmarks have a result for both models as of October 22, 2026. MiniMax M3's coding index rests on 6 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.