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Gemini 3.5 Flash vs MiMo-V2.5

MiMo-V2.5 leads Gemini 3.5 Flash on coding, 50.0 to 39.8 on the Vibe Coding Index, and MiMo-V2.5 costs 26.8x less per output token ($0.336 vs $9.00 per million). Updated October 22, 2026; 77 benchmarks have a result for both.

Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
76
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
1
vs boards won of 77 shared

Gemini 3.5 Flash or MiMo-V2.5: which to pick

Pick MiMo-V2.5 for coding: it scores 50.0 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 LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Shared results
77
Gemini 3.5 Flash only
35
MiMo-V2.5 only
3
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 3.5 Flash 39.8 from 4 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Agentic work, 14.0 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Gemini 3.5 Flash 1486 against MiMo-V2.5 1306, 30.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against MiMo-V2.5 $0.336 per million output tokens, 26.8x apart.
Context window
Gemini 3.5 Flash takes 1.05M tokens, MiMo-V2.5 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-V2.5Ties
Coding130
Intelligence10
Agentic work50
Reasoning90
Math30
Knowledge100
Web design71
General280
All shared boards761
CodingLike-for-likeSix of these boards feed the Vibe Coding Index130
Coding benchmarks for Gemini 3.5 Flash and MiMo-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
LMArena WebDev14991438Gemini 3.5 Flash
AA Coding IndexNot measured56.8Only MiMo-V2.5 measured
LiveCodeBench (Vals AI)87.6%81.5%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%71.0%Gemini 3.5 Flash
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%42.2%Gemini 3.5 Flash
Code migration (Vals AI)26.8%14.2%Gemini 3.5 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%60.7%Gemini 3.5 Flash
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%43.9%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%41.7%Gemini 3.5 Flash
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0514.0Gemini 3.5 Flash
LMArena Text: coding14931469Gemini 3.5 Flash
LMArena Text: software and IT14941463Gemini 3.5 Flash
LMArena WebDev: React14951425Gemini 3.5 Flash
LMArena WebDev: HTML15221429Gemini 3.5 Flash
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.5 Flash and MiMo-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
AA Intelligence Index33.621.8Gemini 3.5 Flash
Epoch Capabilities Index154.9Not measuredOnly Gemini 3.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Gemini 3.5 Flash and MiMo-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
AA Agentic IndexNot measured15.8Only MiMo-V2.5 measured
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
Finance Agent (Vals AI)57.9%36.7%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%7.8%Gemini 3.5 Flash
Legal Research Bench (Vals AI)30.8%9.1%Gemini 3.5 Flash
Excel Modeling Benchmark (Vals AI)63.5%55.1%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%90.6%Gemini 3.5 Flash
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 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 3.5 Flash and MiMo-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
GPQA Diamond92.7%81.6%Gemini 3.5 Flash
MMMU Pro (Vals AI)88.3%80.0%Gemini 3.5 Flash
GPQA Diamond (Artificial Analysis run)92.2%84.9%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%27.2%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 prompts14881450Gemini 3.5 Flash
LMArena Text: expert14951459Gemini 3.5 Flash
LMArena Text: hard prompts in English14831461Gemini 3.5 Flash
LMArena Vision: diagrams13231269Gemini 3.5 Flash
LMArena Vision: homework13301262Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.5 Flash and MiMo-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
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%16.0%Gemini 3.5 Flash
LMArena Text: math15041436Gemini 3.5 Flash
LMArena Text: mathematical work14951451Gemini 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 index100
Knowledge benchmarks for Gemini 3.5 Flash and MiMo-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
MMLU Pro89.5%82.9%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%78.9%Gemini 3.5 Flash
CorpFin (Vals AI)64.7%59.9%Gemini 3.5 Flash
TaxEval (Vals AI)74.4%71.8%Gemini 3.5 Flash
MortgageTax (Vals AI)68.1%59.3%Gemini 3.5 Flash
MedCode (Vals AI)55.8%31.9%Gemini 3.5 Flash
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951440Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831432Gemini 3.5 Flash
LMArena Text: legal and government14881425Gemini 3.5 Flash
LMArena Text: business and finance14671432Gemini 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 designLike-for-likePublic boards, shown as published, kept out of the index71
Web design benchmarks for Gemini 3.5 Flash and MiMo-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
Design Arena: websites12671265Gemini 3.5 Flash
Design Arena: UI components12691255Gemini 3.5 Flash
Design Arena: game dev12631249Gemini 3.5 Flash
Design Arena: data viz12361250MiMo-V2.5
Design Arena: 3D12431215Gemini 3.5 Flash
Design Arena: all code categories12661260Gemini 3.5 Flash
Design Arena: SVG12531179Gemini 3.5 Flash
Design Arena: ASCII art12541140Gemini 3.5 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for Gemini 3.5 Flash and MiMo-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%43.3%Gemini 3.5 Flash
MedScribe (Vals AI)76.6%72.2%Gemini 3.5 Flash
Vals Multimodal Index62.9%52.8%Gemini 3.5 Flash
IFBench76.3%67.1%Gemini 3.5 Flash
Long context reasoning (AA-LCR)74.3%73.0%Gemini 3.5 Flash
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 Text14821428Gemini 3.5 Flash
LMArena Text: instruction following14671435Gemini 3.5 Flash
LMArena Text: creative writing14701393Gemini 3.5 Flash
LMArena Vision13081247Gemini 3.5 Flash
LMArena Text: English14811447Gemini 3.5 Flash
LMArena Text: non-English14751405Gemini 3.5 Flash
LMArena Text: Chinese15271469Gemini 3.5 Flash
LMArena Text: German14941421Gemini 3.5 Flash
LMArena Text: Japanese14861306Gemini 3.5 Flash
LMArena Text: Korean14481361Gemini 3.5 Flash
LMArena Text: French14901448Gemini 3.5 Flash
LMArena Text: Spanish14801414Gemini 3.5 Flash
LMArena Text: Russian14931396Gemini 3.5 Flash
LMArena Text: Polish15161413Gemini 3.5 Flash
LMArena Text: multi-turn14811445Gemini 3.5 Flash
LMArena Text: longer queries14831445Gemini 3.5 Flash
LMArena Text: writing and language14781409Gemini 3.5 Flash
LMArena Text: entertainment and media14591399Gemini 3.5 Flash
LMArena Vision: English13051259Gemini 3.5 Flash
LMArena Vision: Chinese13771326Gemini 3.5 Flash
LMArena Vision: reading text13171256Gemini 3.5 Flash
LMArena Vision: humor13211226Gemini 3.5 Flash
LMArena Vision: recognizing thingsNot measured1189Only MiMo-V2.5 measured
LMArena Vision: creative writing13011230Gemini 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-V2.5
BenchmarkGemini 3.5 FlashMiMo-V2.5Leader
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-V2.5$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
MiMo-V2.5$0.037Fits in one request

MiMo-V2.5 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-V2.5
SpecificationGoogle Gemini 3.5 FlashXiaomi MiMo-V2.5
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$0.168
Output $/Mtok$9.00$0.336
Coding index39.850.0
Independent measurements behind it43
Cost per solved task$1.21$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than MiMo-V2.5 for coding?

Pick MiMo-V2.5 for coding: it scores 50.0 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 LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash or MiMo-V2.5?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and MiMo-V2.5 $0.01.

Which has the bigger context window, Gemini 3.5 Flash or MiMo-V2.5?

MiMo-V2.5, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.5 Flash vs MiMo-V2.5 comparison based on?

77 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-V2.5'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-v2-5" title="Gemini 3.5 Flash vs MiMo-V2.5, 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-v2-5">LLMBenchmark.ai, Gemini 3.5 Flash vs MiMo-V2.5</a></p>