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Gemini 3.5 Flash vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads Gemini 3.5 Flash on coding, 54.7 to 39.8 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 32.1x less per output token ($0.28 vs $9.00 per million). Updated October 22, 2026; 58 benchmarks have a result for both.

Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
36
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
21
vs boards won of 58 shared, 1 tied

Gemini 3.5 Flash 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 39.8 for Gemini 3.5 Flash, though on 3 benchmarks against 4.

Pick Gemini 3.5 Flash for work measured by SciCode or Finance Agent (Vals AI), where it leads.

Shared results
58
Gemini 3.5 Flash only
54
MiMo-V2.6-Flash only
8
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.

At a glance

Coding index
Gemini 3.5 Flash 39.8 from 4 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Math, 13.1 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: Gemini 3.5 Flash 31.0% against MiMo-V2.6-Flash 63.0%, 32.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 32.1x apart.
Context window
Gemini 3.5 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.

Boards won, where both have a result
CategoryGemini 3.5 FlashBarsMiMo-V2.6-FlashTies
Coding112
Intelligence01
Agentic work23
Reasoning42
Math21
Knowledge50
General2221 tie
All shared boards36211 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index112
Coding benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
LMArena WebDev14991634MiMo-V2.6-Flash
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%24.2%MiMo-V2.6-Flash
Vibe Code Bench (Vals AI)48.7%79.0%MiMo-V2.6-Flash
Code migration (Vals AI)26.8%40.9%MiMo-V2.6-Flash
ProgramBench (Vals AI)0.0%0.5%MiMo-V2.6-Flash
IOI (Vals AI)Not measured47.7%Only MiMo-V2.6-Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%76.4%MiMo-V2.6-Flash
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCode53.9%51.3%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.01244.2MiMo-V2.6-Flash
LMArena Text: coding14931499MiMo-V2.6-Flash
LMArena Text: software and IT14941497MiMo-V2.6-Flash
LMArena WebDev: React14951648MiMo-V2.6-Flash
LMArena WebDev: HTML15221641MiMo-V2.6-Flash
LMArena WebDev: from an image15041596MiMo-V2.6-Flash
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
AA Intelligence Index33.637.9MiMo-V2.6-Flash
Epoch Capabilities Index154.9Not measuredOnly Gemini 3.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index23
Agentic work benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1174Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1154Not measuredOnly Gemini 3.5 Flash measured
SREBench (Vals AI)Not measured4.2%Only MiMo-V2.6-Flash measured
Finance Agent (Vals AI)57.9%56.3%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%28.5%MiMo-V2.6-Flash
Legal Research Bench (Vals AI)30.8%38.0%MiMo-V2.6-Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.3%Only MiMo-V2.6-Flash measured
Excel Modeling Benchmark (Vals AI)63.5%65.5%MiMo-V2.6-Flash
BioMysteryBench (Vals AI)Not measured69.3%Only MiMo-V2.6-Flash measured
Terminal-Bench-Science (Vals AI)5.7%4.3%Gemini 3.5 Flash
Vals Science IndexNot measured31.7%Only MiMo-V2.6-Flash measured
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
Reasoning benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%Not measuredOnly Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)42.7%35.1%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881475Gemini 3.5 Flash
LMArena Text: expert14951496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14831493MiMo-V2.6-Flash
LMArena Vision: diagrams13231276Gemini 3.5 Flash
LMArena Vision: homework13301283Gemini 3.5 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%63.0%MiMo-V2.6-Flash
LMArena Text: math15041476Gemini 3.5 Flash
LMArena Text: mathematical work14951478Gemini 3.5 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%41.1%Gemini 3.5 Flash
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951462Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831439Gemini 3.5 Flash
LMArena Text: legal and government14881441Gemini 3.5 Flash
LMArena Text: business and finance14671454Gemini 3.5 Flash
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
Design Arena: websites1267Not measuredOnly Gemini 3.5 Flash measured
Design Arena: UI components1269Not measuredOnly Gemini 3.5 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.5 Flash measured
Design Arena: data viz1236Not measuredOnly Gemini 3.5 Flash measured
Design Arena: 3D1243Not measuredOnly Gemini 3.5 Flash measured
Design Arena: all code categories1266Not measuredOnly Gemini 3.5 Flash measured
Design Arena: SVG1253Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1254Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index222
General benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
Vals IndexNot measured54.8%Only MiMo-V2.6-Flash measured
Public Benefits Bench (Vals AI)59.5%67.6%MiMo-V2.6-Flash
SAGE (Vals AI)49.9%43.5%Gemini 3.5 Flash
MedScribe (Vals AI)76.6%85.3%MiMo-V2.6-Flash
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%74.3%Tie
DTBench94.7%Not measuredOnly Gemini 3.5 Flash measured
LMCA47.1%Not measuredOnly Gemini 3.5 Flash measured
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821453Gemini 3.5 Flash
LMArena Text: instruction following14671452Gemini 3.5 Flash
LMArena Text: creative writing14701403Gemini 3.5 Flash
LMArena Vision13081256Gemini 3.5 Flash
LMArena Text: English14811476Gemini 3.5 Flash
LMArena Text: non-English14751431Gemini 3.5 Flash
LMArena Text: Chinese15271509Gemini 3.5 Flash
LMArena Text: German14941458Gemini 3.5 Flash
LMArena Text: Japanese14861359Gemini 3.5 Flash
LMArena Text: Korean14481425Gemini 3.5 Flash
LMArena Text: French14901480Gemini 3.5 Flash
LMArena Text: Spanish14801453Gemini 3.5 Flash
LMArena Text: Russian14931409Gemini 3.5 Flash
LMArena Text: Polish15161455Gemini 3.5 Flash
LMArena Text: multi-turn14811447Gemini 3.5 Flash
LMArena Text: longer queries14831459Gemini 3.5 Flash
LMArena Text: writing and language14781424Gemini 3.5 Flash
LMArena Text: entertainment and media14591415Gemini 3.5 Flash
LMArena Vision: English13051269Gemini 3.5 Flash
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text13171270Gemini 3.5 Flash
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing13011231Gemini 3.5 Flash
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash and MiMo-V2.6-Flash
BenchmarkGemini 3.5 FlashMiMo-V2.6-FlashLeader
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 3.5 Flash$0.0060Fits in one request
MiMo-V2.6-Flash$0.0003Fits in one request

MiMo-V2.6-Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

MiMo-V2.6-Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

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.

Specifications of Gemini 3.5 Flash and MiMo-V2.6-Flash
SpecificationGoogle Gemini 3.5 FlashXiaomi MiMo-V2.6-Flash
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026September 21, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$0.14
Output $/Mtok$9.00$0.28
Coding index39.854.7
Independent measurements behind it43
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash 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 39.8 for Gemini 3.5 Flash, though on 3 benchmarks against 4. Pick Gemini 3.5 Flash for work measured by SciCode or Finance Agent (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash or MiMo-V2.6-Flash?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or MiMo-V2.6-Flash?

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

How many benchmarks is the Gemini 3.5 Flash vs MiMo-V2.6-Flash comparison based on?

58 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 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.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-5-flash-vs-xiaomi-mimo-v2-6-flash" title="Gemini 3.5 Flash vs MiMo-V2.6-Flash, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-5-flash-vs-xiaomi-mimo-v2-6-flash">LLMBenchmark.ai, Gemini 3.5 Flash vs MiMo-V2.6-Flash</a></p>