Qwen3.7 Max vs MiMo-V2.6-Pro
Updated October 21, 2026. 25 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiMo-V2.6-Pro for coding: it scores 72.6 on the Vibe Coding Index against 45.1 for Qwen3.7 Max.
Pick Qwen3.7 Max when the benchmark that matters is ALE-Bench, where it leads.
- Shared results
- 25
- Qwen3.7 Max only
- 34
- MiMo-V2.6-Pro only
- 48
- 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 45.1.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Max has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.7 Max has a GPQA Diamond result, 90.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.7 Max has a MMLU Pro result, 89.3%.
Directional only
Web design
Design Arena: websites
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 1308 against 1274.
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 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Pro
Qwen3.7 Max $0.0037, MiMo-V2.6-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.7 Max has the number, $4.69.
Directional only
At a glance
- Coding index
- Qwen3.7 Max 45.1 from 1 benchmark, MiMo-V2.6-Pro 72.6 from 2 benchmarks.
- Widest category
- Math, 44.0 points apart on average over 1 shared benchmark.
- Widest single gap
- ProofBench: Qwen3.7 Max 26.0% against MiMo-V2.6-Pro 70.0%, 44.0 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Max $4.425 against MiMo-V2.6-Pro $0.87 per million output tokens, 5.1x apart.
- Context window
- Qwen3.7 Max takes 1M 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 | Qwen3.7 Max | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 1 | 7 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 5 | ||
| Reasoning | 0 | 1 | ||
| Math | 0 | 1 | ||
| Knowledge | 0 | 1 | ||
| Web design | 0 | 6 | ||
| General | 0 | 2 | ||
| All shared boards | 1 | 24 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index17
| Benchmark | Qwen3.7 Max | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 81.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | 1515 | 1625 | MiMo-V2.6-Pro |
| AA Coding Index | 66.0 | Not measured | Only Qwen3.7 Max measured |
| LiveCodeBench (Vals AI) | 87.1% | Not measured | Only Qwen3.7 Max measured |
| SWE-bench Verified (Vals AI) | 68.8% | Not measured | Only Qwen3.7 Max measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 31.3% | Only MiMo-V2.6-Pro measured |
| Vibe Code Bench (Vals AI) | 47.7% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | 13.1% | 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) | 61.0% | 67.8% | MiMo-V2.6-Pro |
| 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 | 49.5% | 60.9% | MiMo-V2.6-Pro |
| Terminal-Bench Hard (Artificial Analysis run) | 50.8% | Not measured | Only Qwen3.7 Max measured |
| ALE-Bench | 1189.4 | 1158.1 | Qwen3.7 Max |
| LMArena Text: coding | Not measured | 1533 | Only MiMo-V2.6-Pro measured |
| LMArena Text: software and IT | Not measured | 1528 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: React | 1514 | 1639 | MiMo-V2.6-Pro |
| LMArena WebDev: HTML | 1512 | 1616 | MiMo-V2.6-Pro |
| LMArena WebDev: from an image | Not measured | 1598 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3.7 Max | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.5 | 46.3 | MiMo-V2.6-Pro |
| Epoch Capabilities Index | 154.0 | Not measured | Only Qwen3.7 Max measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Qwen3.7 Max | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 22.5 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building web apps | 1208 | 1291 | MiMo-V2.6-Pro |
| Design Arena: agents building full-stack apps | 1191 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building mobile apps | 1153 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building Android apps | 1165 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building Godot games | 1187 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building games | 1161 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: HTML slides | 1158 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: PowerPoint slides | 1196 | Not measured | Only Qwen3.7 Max 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) | Not measured | 3.0% | Only MiMo-V2.6-Pro measured |
| Finance Agent (Vals AI) | 47.8% | 57.3% | MiMo-V2.6-Pro |
| Tax Agent Bench (Vals AI) | 15.8% | 32.4% | MiMo-V2.6-Pro |
| Legal Research Bench (Vals AI) | 25.5% | 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) | 57.0% | 62.9% | MiMo-V2.6-Pro |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only MiMo-V2.6-Pro measured |
| τ²-Bench Telecom | 94.7% | Not measured | Only Qwen3.7 Max measured |
| APEX-Agents | Not measured | 54.4% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3.7 Max | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | Not measured | Only Qwen3.7 Max measured |
| 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 |
| GPQA Diamond (Artificial Analysis run) | 92.3% | Not measured | Only Qwen3.7 Max measured |
| Humanity's Last Exam (Artificial Analysis run) | 40.5% | 49.4% | MiMo-V2.6-Pro |
| GPQA Diamond (Epoch AI run) | 90.9% | Not measured | Only Qwen3.7 Max measured |
| SimpleBench | 70.4% | Not measured | Only Qwen3.7 Max measured |
| Chess puzzles | 26.0% | Not measured | Only Qwen3.7 Max measured |
| Mystery game puzzles | 32.0% | Not measured | Only Qwen3.7 Max measured |
| EBR-bench | 9.5% | Not measured | Only Qwen3.7 Max measured |
| LMArena Text: hard prompts | Not measured | 1511 | Only MiMo-V2.6-Pro measured |
| LMArena Text: expert | Not measured | 1541 | Only MiMo-V2.6-Pro measured |
| LMArena Text: hard prompts in English | Not measured | 1520 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: diagrams | Not measured | 1281 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: homework | Not measured | 1264 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3.7 Max | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | Not measured | Only Qwen3.7 Max measured |
| FrontierMath, tiers 1 to 3 | 64.6% | Not measured | Only Qwen3.7 Max measured |
| FrontierMath, tier 4 | 34.1% | Not measured | Only Qwen3.7 Max measured |
| ProofBench | 26.0% | 70.0% | MiMo-V2.6-Pro |
| LMArena Text: math | Not measured | 1500 | Only MiMo-V2.6-Pro measured |
| LMArena Text: mathematical work | Not measured | 1511 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3.7 Max | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 89.3% | Not measured | Only Qwen3.7 Max measured |
| LegalBench (Vals AI) | 84.9% | Not measured | Only Qwen3.7 Max measured |
| CorpFin (Vals AI) | 63.7% | Not measured | Only Qwen3.7 Max measured |
| TaxEval (Vals AI) | 75.3% | Not measured | Only Qwen3.7 Max measured |
| MedCode (Vals AI) | 38.8% | 45.0% | MiMo-V2.6-Pro |
| SimpleQA Verified | 55.8% | Not measured | Only Qwen3.7 Max measured |
| LMArena Text: science | Not measured | 1506 | Only MiMo-V2.6-Pro measured |
| LMArena Text: medicine and healthcare | Not measured | 1497 | Only MiMo-V2.6-Pro measured |
| LMArena Text: legal and government | Not measured | 1485 | Only MiMo-V2.6-Pro measured |
| LMArena Text: business and finance | Not measured | 1468 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Qwen3.7 Max | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | 1308 | MiMo-V2.6-Pro |
| Design Arena: UI components | 1269 | 1338 | MiMo-V2.6-Pro |
| Design Arena: game dev | 1265 | 1314 | MiMo-V2.6-Pro |
| Design Arena: data viz | 1275 | 1337 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1266 | 1330 | MiMo-V2.6-Pro |
| Design Arena: all code categories | 1275 | 1317 | MiMo-V2.6-Pro |
| Design Arena: SVG | 1216 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: ASCII art | 1211 | Not measured | Only Qwen3.7 Max measured |
| LiveBench design | Not measured | 78.5% | Only MiMo-V2.6-Pro measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3.7 Max | 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 | 45.0% | Only MiMo-V2.6-Pro measured |
| MedScribe (Vals AI) | 79.4% | 88.3% | MiMo-V2.6-Pro |
| IFBench | 80.5% | Not measured | Only Qwen3.7 Max measured |
| Long context reasoning (AA-LCR) | 79.0% | 86.3% | MiMo-V2.6-Pro |
| DTBench | 92.3% | Not measured | Only Qwen3.7 Max measured |
| LMCA | 44.0% | Not measured | Only Qwen3.7 Max measured |
| LMArena Text | Not measured | 1491 | Only MiMo-V2.6-Pro measured |
| LMArena Text: instruction following | Not measured | 1491 | Only MiMo-V2.6-Pro measured |
| LMArena Text: creative writing | Not measured | 1466 | Only MiMo-V2.6-Pro measured |
| LMArena Vision | Not measured | 1263 | Only MiMo-V2.6-Pro measured |
| LMArena Text: English | Not measured | 1504 | Only MiMo-V2.6-Pro measured |
| LMArena Text: non-English | Not measured | 1474 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Chinese | Not measured | 1529 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Russian | Not measured | 1479 | Only MiMo-V2.6-Pro measured |
| LMArena Text: multi-turn | Not measured | 1466 | Only MiMo-V2.6-Pro measured |
| LMArena Text: longer queries | Not measured | 1501 | Only MiMo-V2.6-Pro measured |
| LMArena Text: writing and language | Not measured | 1470 | Only MiMo-V2.6-Pro measured |
| LMArena Text: entertainment and media | Not measured | 1465 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: English | Not measured | 1268 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.7 Max | 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 | Qwen3.7 Max | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Qwen | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | May 21, 2026 | September 21, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $1.475 | $0.435 |
| Output $/Mtok | $4.425 | $0.87 |
| Coding index | 45.1 | 72.6 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $4.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Max 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 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when the benchmark that matters is ALE-Bench, where it leads.
Which is cheaper, Qwen3.7 Max or MiMo-V2.6-Pro?
Qwen3.7 Max costs $1.475 per million input tokens and $4.425 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for Qwen3.7 Max only.
Which has the bigger context window, Qwen3.7 Max or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 1M.
How many benchmarks is the Qwen3.7 Max vs MiMo-V2.6-Pro comparison based on?
25 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Max'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.