Qwen3.7 Plus vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads Qwen3.7 Plus on coding, 54.7 to 33.2 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 4.6x less per output token ($0.28 vs $1.28 per million). Updated October 21, 2026; 46 benchmarks have a result for both.
Qwen3.7 Plus or MiMo-V2.6-Flash: which to pick
Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for work measured by Humanity's Last Exam (Artificial Analysis run) or LMArena Vision: diagrams, where it leads.
- Shared results
- 46
- Qwen3.7 Plus only
- 29
- MiMo-V2.6-Flash only
- 20
- Like-for-like categories
- 7 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-Flash
MiMo-V2.6-Flash scores 54.7 against 33.2.
2 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Flash
MiMo-V2.6-Flash leads, 37.9 against 25.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Plus has a AA Agentic Index result, 17.5.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.7 Plus has a Design Arena: websites result, 1269.
Directional only
General
Vals Index
No call
Only MiMo-V2.6-Flash has a Vals Index result, 54.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Flash
MiMo-V2.6-Flash takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Qwen3.7 Plus $0.0010, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Qwen3.7 Plus 33.2 from 2 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
- Widest category
- Agentic work, 18.5 points apart on average over 4 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Qwen3.7 Plus 46.4% against MiMo-V2.6-Flash 79.0%, 32.6 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Plus $1.28 against MiMo-V2.6-Flash $0.28 per million output tokens, 4.6x apart.
- Context window
- Qwen3.7 Plus takes 1M tokens, MiMo-V2.6-Flash 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 Plus | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 4 | ||
| Reasoning | 3 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 3 | 1 | ||
| General | 15 | 8 | ||
| All shared boards | 21 | 25 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1634 | Only MiMo-V2.6-Flash measured |
| AA Coding Index | 55.9 | Not measured | Only Qwen3.7 Plus measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 24.2% | Only MiMo-V2.6-Flash measured |
| Vibe Code Bench (Vals AI) | 46.4% | 79.0% | MiMo-V2.6-Flash |
| Code migration (Vals AI) | 12.9% | 40.9% | MiMo-V2.6-Flash |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Flash measured |
| IOI (Vals AI) | Not measured | 47.7% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 52.8% | 76.4% | MiMo-V2.6-Flash |
| SkillsBench (Vals AI) | 54.3% | Not measured | Only Qwen3.7 Plus measured |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| SciCode | 46.1% | 51.3% | MiMo-V2.6-Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | Not measured | Only Qwen3.7 Plus measured |
| FrontierCode | 10.2% | Not measured | Only Qwen3.7 Plus measured |
| ALE-Bench | Not measured | 1244.2 | Only MiMo-V2.6-Flash measured |
| LMArena Text: coding | 1473 | 1499 | MiMo-V2.6-Flash |
| LMArena Text: software and IT | 1473 | 1497 | MiMo-V2.6-Flash |
| LMArena WebDev: React | Not measured | 1648 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: HTML | Not measured | 1641 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.2 | 37.9 | MiMo-V2.6-Flash |
| Epoch Capabilities Index | 147.0 | Not measured | Only Qwen3.7 Plus measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 17.5 | Not measured | Only Qwen3.7 Plus measured |
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | 38.2% | 56.3% | MiMo-V2.6-Flash |
| Tax Agent Bench (Vals AI) | 10.5% | 28.5% | MiMo-V2.6-Flash |
| Legal Research Bench (Vals AI) | 16.4% | 38.0% | MiMo-V2.6-Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.3% | Only MiMo-V2.6-Flash measured |
| Excel Modeling Benchmark (Vals AI) | 49.3% | 65.5% | MiMo-V2.6-Flash |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only MiMo-V2.6-Flash measured |
| Vals Science Index | Not measured | 31.7% | Only MiMo-V2.6-Flash measured |
| τ²-Bench Telecom | 93.0% | Not measured | Only Qwen3.7 Plus measured |
| OSWorld 2.0 | 2.8% | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| GPQA Diamond (Artificial Analysis run) | 90.0% | Not measured | Only Qwen3.7 Plus measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.6% | 35.1% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | 87.9% | Not measured | Only Qwen3.7 Plus measured |
| Mystery game puzzles | 17.0% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | 1460 | 1475 | MiMo-V2.6-Flash |
| LMArena Text: expert | 1466 | 1496 | MiMo-V2.6-Flash |
| LMArena Text: hard prompts in English | 1460 | 1493 | MiMo-V2.6-Flash |
| LMArena Vision: diagrams | 1292 | 1276 | Qwen3.7 Plus |
| LMArena Vision: homework | 1295 | 1283 | Qwen3.7 Plus |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | Not measured | Only Qwen3.7 Plus measured |
| FrontierMath, tiers 1 to 3 | 34.4% | Not measured | Only Qwen3.7 Plus measured |
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | 1467 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: mathematical work | 1470 | 1478 | MiMo-V2.6-Flash |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MortgageTax (Vals AI) | 66.2% | Not measured | Only Qwen3.7 Plus measured |
| MedCode (Vals AI) | Not measured | 41.1% | Only MiMo-V2.6-Flash measured |
| LMArena Text: science | 1464 | 1462 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1464 | 1439 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1451 | 1441 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1435 | 1454 | MiMo-V2.6-Flash |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: UI components | 1261 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: game dev | 1262 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: data viz | 1276 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: 3D | 1239 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: all code categories | 1269 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: SVG | 1208 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: ASCII art | 1143 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index158
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| SAGE (Vals AI) | 39.3% | 43.5% | MiMo-V2.6-Flash |
| MedScribe (Vals AI) | Not measured | 85.3% | Only MiMo-V2.6-Flash measured |
| Vals Multimodal Index | 53.9% | Not measured | Only Qwen3.7 Plus measured |
| IFBench | 78.0% | Not measured | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | 73.0% | 74.3% | MiMo-V2.6-Flash |
| DTBench | 84.0% | Not measured | Only Qwen3.7 Plus measured |
| LMCA | 37.6% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text | 1454 | 1453 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1439 | 1452 | MiMo-V2.6-Flash |
| LMArena Text: creative writing | 1438 | 1403 | Qwen3.7 Plus |
| LMArena Vision | 1278 | 1256 | Qwen3.7 Plus |
| LMArena Text: English | 1458 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: non-English | 1445 | 1431 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1509 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1471 | 1458 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1412 | 1359 | Qwen3.7 Plus |
| LMArena Text: Korean | 1413 | 1425 | MiMo-V2.6-Flash |
| LMArena Text: French | 1472 | 1480 | MiMo-V2.6-Flash |
| LMArena Text: Spanish | 1457 | 1453 | Qwen3.7 Plus |
| LMArena Text: Russian | 1457 | 1409 | Qwen3.7 Plus |
| LMArena Text: Polish | 1449 | 1455 | MiMo-V2.6-Flash |
| LMArena Text: multi-turn | 1459 | 1447 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1454 | 1459 | MiMo-V2.6-Flash |
| LMArena Text: writing and language | 1437 | 1424 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1422 | 1415 | Qwen3.7 Plus |
| LMArena Vision: English | 1280 | 1269 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1332 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: reading text | 1288 | 1270 | Qwen3.7 Plus |
| LMArena Vision: humor | 1261 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | 1258 | 1231 | Qwen3.7 Plus |
| LMArena Document | 1444 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.7 Plus | MiMo-V2.6-Flash | 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-Flash costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Flash costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Flash 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 Plus | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Qwen | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | June 3, 2026 | September 21, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $0.32 | $0.14 |
| Output $/Mtok | $1.28 | $0.28 |
| Coding index | 33.2 | 54.7 |
| Independent measurements behind it | 2 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Plus better than MiMo-V2.6-Flash for coding?
Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for work measured by Humanity's Last Exam (Artificial Analysis run) or LMArena Vision: diagrams, where it leads.
Which is cheaper, Qwen3.7 Plus or MiMo-V2.6-Flash?
Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.7 Plus or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1M.
How many benchmarks is the Qwen3.7 Plus vs MiMo-V2.6-Flash comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Plus's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.