Gemini 3.7 Flash vs MiMo-V2.6-Flash
Gemini 3.7 Flash leads MiMo-V2.6-Flash on coding, 58.0 to 54.7 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 13.4x less per output token ($0.28 vs $3.75 per million). Updated October 22, 2026; 60 benchmarks have a result for both.
Gemini 3.7 Flash or MiMo-V2.6-Flash: which to pick
Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 54.7 for MiMo-V2.6-Flash.
Pick MiMo-V2.6-Flash for output tokens 13.4x cheaper ($0.28 vs $3.75 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 60
- Gemini 3.7 Flash only
- 54
- MiMo-V2.6-Flash only
- 6
- 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
Gemini 3.7 Flash
Gemini 3.7 Flash scores 58.0 against 54.7.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 37.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.7 Flash has a GPQA Diamond result, 93.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.7 Flash has a MMLU Pro result, 90.1%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.7 Flash has a Design Arena: websites result, 1303.
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 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Gemini 3.7 Flash $0.0026, MiMo-V2.6-Flash $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only
At a glance
- Coding index
- Gemini 3.7 Flash 58.0 from 6 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
- Widest category
- General, 8.7 points apart on average over 24 shared benchmarks.
- Widest single gap
- CyberBench (Vals AI): Gemini 3.7 Flash 43.8% against MiMo-V2.6-Flash 75.4%, 31.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.7 Flash $3.75 against MiMo-V2.6-Flash $0.28 per million output tokens, 13.4x apart.
- Context window
- Gemini 3.7 Flash takes 1.05M 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 | Gemini 3.7 Flash | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 5 | 10 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 2 | ||
| Reasoning | 5 | 1 | ||
| Math | 2 | 1 | ||
| Knowledge | 5 | 0 | ||
| General | 23 | 1 | ||
| All shared boards | 45 | 15 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index510
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench coding | 80.5% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena WebDev | 1591 | 1634 | MiMo-V2.6-Flash |
| AA Coding Index | 71.5 | Not measured | Only Gemini 3.7 Flash measured |
| LiveCodeBench (Vals AI) | 88.7% | Not measured | Only Gemini 3.7 Flash measured |
| SWE-bench Verified (Vals AI) | 80.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench 4 (Vals AI) | 12.1% | 24.2% | MiMo-V2.6-Flash |
| Vibe Code Bench (Vals AI) | 70.4% | 79.0% | MiMo-V2.6-Flash |
| Code migration (Vals AI) | 34.8% | 40.9% | MiMo-V2.6-Flash |
| ProgramBench (Vals AI) | 0.0% | 0.5% | MiMo-V2.6-Flash |
| IOI (Vals AI) | 67.8% | 47.7% | Gemini 3.7 Flash |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | 76.4% | Gemini 3.7 Flash |
| SkillsBench (Vals AI) | 65.9% | Not measured | Only Gemini 3.7 Flash measured |
| CyberBench (Vals AI) | 43.8% | 75.4% | MiMo-V2.6-Flash |
| SciCode | 59.8% | 51.3% | Gemini 3.7 Flash |
| FrontierCode | 43.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierSWE | 20.3% | Not measured | Only Gemini 3.7 Flash measured |
| ALE-Bench | 904.3 | 1244.2 | MiMo-V2.6-Flash |
| LMArena Text: coding | 1499 | 1499 | MiMo-V2.6-Flash |
| LMArena Text: software and IT | 1498 | 1497 | Gemini 3.7 Flash |
| LMArena WebDev: React | 1587 | 1648 | MiMo-V2.6-Flash |
| LMArena WebDev: HTML | 1593 | 1641 | MiMo-V2.6-Flash |
| LMArena WebDev: from an image | 1599 | 1596 | Gemini 3.7 Flash |
| SciCode | 13.8% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 37.9 | Gemini 3.7 Flash |
| Epoch Capabilities Index | 158.0 | Not measured | Only Gemini 3.7 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1223 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building full-stack apps | 1208 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building mobile apps | 1229 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Android apps | 1243 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Godot games | 1264 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building games | 1235 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: spreadsheets | 1058 | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench research | 76.5% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench browser | 56.0% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench long agentic | 28.3% | Not measured | Only Gemini 3.7 Flash measured |
| SREBench (Vals AI) | 4.6% | 4.2% | Gemini 3.7 Flash |
| Finance Agent (Vals AI) | 59.0% | 56.3% | Gemini 3.7 Flash |
| Tax Agent Bench (Vals AI) | 22.8% | 28.5% | MiMo-V2.6-Flash |
| Legal Research Bench (Vals AI) | 34.6% | 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) | 71.3% | 65.5% | Gemini 3.7 Flash |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench-Science (Vals AI) | 7.1% | 4.3% | Gemini 3.7 Flash |
| Vals Science Index | Not measured | 31.7% | Only MiMo-V2.6-Flash measured |
| APEX-Agents | 67.8% | Not measured | Only Gemini 3.7 Flash measured |
| Remote Labor Index | 5.0% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 93.9% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench reasoning | 87.8% | Not measured | Only Gemini 3.7 Flash measured |
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| MMMU Pro (Vals AI) | 89.0% | Not measured | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 94.5% | Not measured | Only Gemini 3.7 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 47.9% | 35.1% | Gemini 3.7 Flash |
| GPQA Diamond (Epoch AI run) | 94.8% | Not measured | Only Gemini 3.7 Flash measured |
| ARC-AGI | 95.5% | Not measured | Only Gemini 3.7 Flash measured |
| ARC-AGI-2 | 84.6% | Not measured | Only Gemini 3.7 Flash measured |
| Chess puzzles | 66.0% | Not measured | Only Gemini 3.7 Flash measured |
| Mystery game puzzles | 37.0% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts | 1495 | 1475 | Gemini 3.7 Flash |
| LMArena Text: expert | 1512 | 1496 | Gemini 3.7 Flash |
| LMArena Text: hard prompts in English | 1487 | 1493 | MiMo-V2.6-Flash |
| LMArena Vision: diagrams | 1329 | 1276 | Gemini 3.7 Flash |
| LMArena Vision: homework | 1320 | 1283 | Gemini 3.7 Flash |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.2% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierMath, tiers 1 to 3 | 71.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierMath, tier 4 | 36.6% | Not measured | Only Gemini 3.7 Flash measured |
| ProofBench | 58.0% | 63.0% | MiMo-V2.6-Flash |
| LMArena Text: math | 1511 | 1476 | Gemini 3.7 Flash |
| LMArena Text: mathematical work | 1502 | 1478 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MMLU Pro | 90.1% | Not measured | Only Gemini 3.7 Flash measured |
| LegalBench (Vals AI) | 87.3% | Not measured | Only Gemini 3.7 Flash measured |
| TaxEval (Vals AI) | 74.7% | Not measured | Only Gemini 3.7 Flash measured |
| MortgageTax (Vals AI) | 66.7% | Not measured | Only Gemini 3.7 Flash measured |
| MedCode (Vals AI) | 53.4% | 41.1% | Gemini 3.7 Flash |
| SimpleQA Verified | 69.2% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: science | 1511 | 1462 | Gemini 3.7 Flash |
| LMArena Text: medicine and healthcare | 1494 | 1439 | Gemini 3.7 Flash |
| LMArena Text: legal and government | 1496 | 1441 | Gemini 3.7 Flash |
| LMArena Text: business and finance | 1479 | 1454 | Gemini 3.7 Flash |
| FACTS Benchmark Suite | 71.2% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1303 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: UI components | 1296 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: game dev | 1317 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: data viz | 1315 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: 3D | 1307 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: all code categories | 1308 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: SVG | 1283 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: ASCII art | 1276 | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench design | 73.2% | Not measured | Only Gemini 3.7 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index231
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| LiveBench data analysis | 68.0% | Not measured | Only Gemini 3.7 Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| SAGE (Vals AI) | 49.2% | 43.5% | Gemini 3.7 Flash |
| MedScribe (Vals AI) | 83.9% | 85.3% | MiMo-V2.6-Flash |
| Long context reasoning (AA-LCR) | 83.0% | 74.3% | Gemini 3.7 Flash |
| DTBench | 96.8% | Not measured | Only Gemini 3.7 Flash measured |
| LMCA | 50.4% | Not measured | Only Gemini 3.7 Flash measured |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text | 1489 | 1453 | Gemini 3.7 Flash |
| LMArena Text: instruction following | 1484 | 1452 | Gemini 3.7 Flash |
| LMArena Text: creative writing | 1488 | 1403 | Gemini 3.7 Flash |
| LMArena Vision | 1314 | 1256 | Gemini 3.7 Flash |
| LMArena Text: English | 1483 | 1476 | Gemini 3.7 Flash |
| LMArena Text: non-English | 1487 | 1431 | Gemini 3.7 Flash |
| LMArena Text: Chinese | 1552 | 1509 | Gemini 3.7 Flash |
| LMArena Text: German | 1506 | 1458 | Gemini 3.7 Flash |
| LMArena Text: Japanese | 1511 | 1359 | Gemini 3.7 Flash |
| LMArena Text: Korean | 1481 | 1425 | Gemini 3.7 Flash |
| LMArena Text: French | 1500 | 1480 | Gemini 3.7 Flash |
| LMArena Text: Spanish | 1495 | 1453 | Gemini 3.7 Flash |
| LMArena Text: Russian | 1515 | 1409 | Gemini 3.7 Flash |
| LMArena Text: Polish | 1503 | 1455 | Gemini 3.7 Flash |
| LMArena Text: multi-turn | 1485 | 1447 | Gemini 3.7 Flash |
| LMArena Text: longer queries | 1492 | 1459 | Gemini 3.7 Flash |
| LMArena Text: writing and language | 1491 | 1424 | Gemini 3.7 Flash |
| LMArena Text: entertainment and media | 1477 | 1415 | Gemini 3.7 Flash |
| LMArena Vision: English | 1309 | 1269 | Gemini 3.7 Flash |
| LMArena Vision: Chinese | 1394 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: reading text | 1322 | 1270 | Gemini 3.7 Flash |
| LMArena Vision: humor | 1299 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Vision: creative writing | 1312 | 1231 | Gemini 3.7 Flash |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.7 Flash | 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 | Google Gemini 3.7 Flash | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Xiaomi | |
| Weights | No public weights listed | Open weights |
| Released | August 13, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.75 | $0.14 |
| Output $/Mtok | $3.75 | $0.28 |
| Coding index | 58.0 | 54.7 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $1.78 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.7 Flash better than MiMo-V2.6-Flash for coding?
Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 54.7 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash for output tokens 13.4x cheaper ($0.28 vs $3.75 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, Gemini 3.7 Flash or MiMo-V2.6-Flash?
Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Gemini 3.7 Flash only.
Which has the bigger context window, Gemini 3.7 Flash or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.7 Flash vs MiMo-V2.6-Flash comparison based on?
60 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 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.