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Gemini 3.7 Flash vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads Gemini 3.7 Flash on coding, 65.4 to 58.0 on the Vibe Coding Index, and MiMo-V2.6-Pro costs 4.3x less per output token ($0.87 vs $3.75 per million). Updated October 21, 2026; 68 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace MiMo-V2.6-Pro
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
28
MiMo-V2.6-ProXiaomi
Coding
65.4
Overall
68.4
Output $/M
$0.87
40
vs boards won of 68 shared

Gemini 3.7 Flash 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 58.0 for Gemini 3.7 Flash, though on 4 benchmarks against 6.

Pick Gemini 3.7 Flash for work measured by IOI (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BMiMo-V2.6-ProXiaomi65.4/1004 independent benchmarksNo cost per solved task
Shared results
68
Gemini 3.7 Flash only
46
MiMo-V2.6-Pro only
5
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.

At a glance

Coding index
Gemini 3.7 Flash 58.0 from 6 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
Widest category
Agentic work, 10.1 points apart on average over 11 shared benchmarks.
Widest single gap
LiveBench browser: Gemini 3.7 Flash 56.0% against MiMo-V2.6-Pro 88.0%, 32.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against MiMo-V2.6-Pro $0.87 per million output tokens, 4.3x apart.
Context window
Gemini 3.7 Flash 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.

Boards won, where both have a result
CategoryGemini 3.7 FlashBarsMiMo-V2.6-ProTies
Coding313
Intelligence01
Agentic work56
Reasoning34
Math12
Knowledge41
Web design16
General117
All shared boards2840
CodingLike-for-likeSix of these boards feed the Vibe Coding Index313
Coding benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
LiveBench coding80.5%81.5%MiMo-V2.6-Pro
LMArena WebDev15911625MiMo-V2.6-Pro
AA Coding Index71.5Not measuredOnly Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%31.3%MiMo-V2.6-Pro
Vibe Code Bench (Vals AI)70.4%85.2%MiMo-V2.6-Pro
Code migration (Vals AI)34.8%43.0%MiMo-V2.6-Pro
ProgramBench (Vals AI)0.0%0.5%MiMo-V2.6-Pro
IOI (Vals AI)67.8%39.3%Gemini 3.7 Flash
Terminal-Bench 2.1 (Vals AI)77.5%67.8%Gemini 3.7 Flash
SWE-bench Multimodal (Vals AI)Not measured41.3%Only MiMo-V2.6-Pro measured
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%72.9%MiMo-V2.6-Pro
SciCode59.8%60.9%MiMo-V2.6-Pro
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.31158.1MiMo-V2.6-Pro
LMArena Text: coding14991533MiMo-V2.6-Pro
LMArena Text: software and IT14981528MiMo-V2.6-Pro
LMArena WebDev: React15871639MiMo-V2.6-Pro
LMArena WebDev: HTML15931616MiMo-V2.6-Pro
LMArena WebDev: from an image15991598Gemini 3.7 Flash
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
AA Intelligence Index39.646.3MiMo-V2.6-Pro
Epoch Capabilities Index158.0Not measuredOnly Gemini 3.7 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index56
Agentic work benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
Design Arena: agents building web apps12231290MiMo-V2.6-Pro
Design Arena: agents building full-stack apps1208Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building mobile apps1230Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Android apps1242Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Godot games1264Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: spreadsheets1053Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%76.7%MiMo-V2.6-Pro
LiveBench browser56.0%88.0%MiMo-V2.6-Pro
LiveBench long agentic28.3%47.5%MiMo-V2.6-Pro
SREBench (Vals AI)4.6%3.0%Gemini 3.7 Flash
Finance Agent (Vals AI)59.0%57.3%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%32.4%MiMo-V2.6-Pro
Legal Research Bench (Vals AI)34.6%47.1%MiMo-V2.6-Pro
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.8%Only MiMo-V2.6-Pro measured
Excel Modeling Benchmark (Vals AI)71.3%62.9%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%2.9%Gemini 3.7 Flash
APEX-Agents67.8%54.4%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
Reasoning benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%79.6%Gemini 3.7 Flash
MysteryMechanism (Vals AI)Not measured15.3%Only MiMo-V2.6-Pro measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%Not measuredOnly Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.9%49.4%MiMo-V2.6-Pro
GPQA Diamond (Epoch AI run)94.8%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
Chess puzzles66.0%Not measuredOnly Gemini 3.7 Flash measured
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951511MiMo-V2.6-Pro
LMArena Text: expert15121541MiMo-V2.6-Pro
LMArena Text: hard prompts in English14871520MiMo-V2.6-Pro
LMArena Vision: diagrams13291281Gemini 3.7 Flash
LMArena Vision: homework13201264Gemini 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 index12
Math benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
OTIS Mock AIME97.2%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 371.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tier 436.6%Not measuredOnly Gemini 3.7 Flash measured
ProofBench58.0%70.0%MiMo-V2.6-Pro
LMArena Text: math15111500Gemini 3.7 Flash
LMArena Text: mathematical work15021511MiMo-V2.6-Pro
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
MMLU Pro90.1%Not measuredOnly Gemini 3.7 Flash measured
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
TaxEval (Vals AI)74.7%Not measuredOnly Gemini 3.7 Flash measured
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%45.0%Gemini 3.7 Flash
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111506Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941497MiMo-V2.6-Pro
LMArena Text: legal and government14961485Gemini 3.7 Flash
LMArena Text: business and finance14791468Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
Design Arena: websites13041308MiMo-V2.6-Pro
Design Arena: UI components12991339MiMo-V2.6-Pro
Design Arena: game dev13181313Gemini 3.7 Flash
Design Arena: data viz13151336MiMo-V2.6-Pro
Design Arena: 3D13081331MiMo-V2.6-Pro
Design Arena: all code categories13081316MiMo-V2.6-Pro
Design Arena: SVG1283Not measuredOnly Gemini 3.7 Flash measured
Design Arena: ASCII art1276Not measuredOnly Gemini 3.7 Flash measured
LiveBench design73.2%78.5%MiMo-V2.6-Pro
GeneralLike-for-likePublic boards, shown as published, kept out of the index117
General benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
Vals IndexNot measured57.8%Only MiMo-V2.6-Pro measured
LiveBench data analysis68.0%72.3%MiMo-V2.6-Pro
Public Benefits Bench (Vals AI)Not measured68.9%Only MiMo-V2.6-Pro measured
SAGE (Vals AI)49.2%45.0%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%88.3%MiMo-V2.6-Pro
Long context reasoning (AA-LCR)83.0%86.3%MiMo-V2.6-Pro
DTBench96.8%Not measuredOnly Gemini 3.7 Flash measured
LMCA50.4%Not measuredOnly Gemini 3.7 Flash measured
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891491MiMo-V2.6-Pro
LMArena Text: instruction following14841491MiMo-V2.6-Pro
LMArena Text: creative writing14881466Gemini 3.7 Flash
LMArena Vision13141263Gemini 3.7 Flash
LMArena Text: English14831504MiMo-V2.6-Pro
LMArena Text: non-English14871474Gemini 3.7 Flash
LMArena Text: Chinese15521529Gemini 3.7 Flash
LMArena Text: German1506Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Japanese1511Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Korean1481Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: French1500Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Spanish1495Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Russian15151479Gemini 3.7 Flash
LMArena Text: Polish1503Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: multi-turn14851466Gemini 3.7 Flash
LMArena Text: longer queries14921501MiMo-V2.6-Pro
LMArena Text: writing and language14911470Gemini 3.7 Flash
LMArena Text: entertainment and media14771465Gemini 3.7 Flash
LMArena Vision: English13091268Gemini 3.7 Flash
LMArena Vision: Chinese1394Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: reading text13221270Gemini 3.7 Flash
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing1312Not measuredOnly Gemini 3.7 Flash measured
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
Image generation benchmarks for Gemini 3.7 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.6-ProLeader
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 3.7 Flash$0.0026Fits 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 3.7 Flash$0.049Fits 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 3.7 Flash$0.188Fits 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.

Specifications of Gemini 3.7 Flash and MiMo-V2.6-Pro
SpecificationGoogle Gemini 3.7 FlashXiaomi MiMo-V2.6-Pro
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2026September 21, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$0.435
Output $/Mtok$3.75$0.87
Coding index58.065.4
Independent measurements behind it64
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash 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 58.0 for Gemini 3.7 Flash, though on 4 benchmarks against 6. Pick Gemini 3.7 Flash for work measured by IOI (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Which is cheaper, Gemini 3.7 Flash or MiMo-V2.6-Pro?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. 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-Pro?

MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.7 Flash vs MiMo-V2.6-Pro comparison based on?

68 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash'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.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-xiaomi-mimo-v2-6-pro">LLMBenchmark.ai, Gemini 3.7 Flash vs MiMo-V2.6-Pro</a></p>