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Gemini 3.5 Flash Lite vs MiMo-V2.5

MiMo-V2.5 leads Gemini 3.5 Flash Lite on coding, 50.0 to 49.0 on the Vibe Coding Index, and MiMo-V2.5 costs 7.4x less per output token ($0.336 vs $2.50 per million). Updated October 22, 2026; 66 benchmarks have a result for both.

Replace Gemini 3.5 Flash Lite Replace MiMo-V2.5
Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
49.8
Output $/M
$2.50
38
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
28
vs boards won of 66 shared

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

Gemini 3.5 Flash Lite and MiMo-V2.5 are level for coding, 49.0 against 50.0 on the Vibe Coding Index, so price and context decide.

Pick Gemini 3.5 Flash Lite for work measured by SWE-bench Verified (Vals AI) or ALE-Bench, where it leads. Pick MiMo-V2.5 for output tokens 7.4x cheaper ($0.336 vs $2.50 per million) and a lower cost per solved task ($0.01 against $0.41).

Model AGemini 3.5 Flash LiteGoogle49.0/1003 independent benchmarks$0.41 per solved taskModel BMiMo-V2.5Xiaomi50.0/1003 independent benchmarks$0.01 per solved task
Shared results
66
Gemini 3.5 Flash Lite only
19
MiMo-V2.5 only
14
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 Lite 49.0 from 3 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Agentic work, 5.9 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Gemini 3.5 Flash Lite 1426 against MiMo-V2.5 1306, 20.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against MiMo-V2.5 $0.336 per million output tokens, 7.4x apart.
Context window
Gemini 3.5 Flash Lite 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 Flash LiteBarsMiMo-V2.5Ties
Coding210
Intelligence10
Agentic work23
Reasoning45
Math03
Knowledge91
General206
All shared boards3828
CodingLike-for-likeSix of these boards feed the Vibe Coding Index210
Coding benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5Leader
LMArena WebDev14351438MiMo-V2.5
AA Coding Index49.356.8MiMo-V2.5
LiveCodeBench (Vals AI)79.0%81.5%MiMo-V2.5
SWE-bench Verified (Vals AI)75.0%71.0%Gemini 3.5 Flash Lite
Vibe Code Bench (Vals AI)37.2%42.2%MiMo-V2.5
Code migration (Vals AI)6.2%14.2%MiMo-V2.5
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench 2.1 (Vals AI)50.2%60.7%MiMo-V2.5
CyberBench (Vals AI)59.1%Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode41.3%43.9%MiMo-V2.5
Terminal-Bench Hard (Artificial Analysis run)Not measured41.7%Only MiMo-V2.5 measured
WeirdML39.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ALE-Bench765.3514.0Gemini 3.5 Flash Lite
LMArena Text: coding14531469MiMo-V2.5
LMArena Text: software and IT14511463MiMo-V2.5
LMArena WebDev: React14081425MiMo-V2.5
LMArena WebDev: HTMLNot measured1429Only MiMo-V2.5 measured
LMArena WebDev: from an image1448Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5Leader
AA Intelligence Index22.221.8Gemini 3.5 Flash Lite
Epoch Capabilities Index144.9Not measuredOnly Gemini 3.5 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index23
Agentic work benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5Leader
AA Agentic Index14.315.8MiMo-V2.5
Finance Agent (Vals AI)47.4%36.7%Gemini 3.5 Flash Lite
Tax Agent Bench (Vals AI)7.2%7.8%MiMo-V2.5
Legal Research Bench (Vals AI)13.9%9.1%Gemini 3.5 Flash Lite
Excel Modeling Benchmark (Vals AI)43.2%55.1%MiMo-V2.5
τ²-Bench TelecomNot measured90.6%Only MiMo-V2.5 measured
APEX-Agents29.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index45
Reasoning benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5Leader
GPQA Diamond83.8%81.6%Gemini 3.5 Flash Lite
MMMU Pro (Vals AI)83.6%80.0%Gemini 3.5 Flash Lite
GPQA Diamond (Artificial Analysis run)83.8%84.9%MiMo-V2.5
Humanity's Last Exam (Artificial Analysis run)18.8%27.2%MiMo-V2.5
GPQA Diamond (Epoch AI run)83.3%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Chess puzzles21.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Mystery game puzzles19.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts14411450MiMo-V2.5
LMArena Text: expert14341459MiMo-V2.5
LMArena Text: hard prompts in English14401461MiMo-V2.5
LMArena Vision: diagrams12841269Gemini 3.5 Flash Lite
LMArena Vision: homework12911262Gemini 3.5 Flash Lite
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5Leader
OTIS Mock AIME71.1%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tiers 1 to 326.0%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ProofBench13.0%16.0%MiMo-V2.5
LMArena Text: math14341436MiMo-V2.5
LMArena Text: mathematical work14331451MiMo-V2.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5Leader
MMLU Pro85.8%82.9%Gemini 3.5 Flash Lite
LegalBench (Vals AI)84.1%78.9%Gemini 3.5 Flash Lite
CorpFin (Vals AI)60.7%59.9%Gemini 3.5 Flash Lite
TaxEval (Vals AI)72.6%71.8%Gemini 3.5 Flash Lite
MortgageTax (Vals AI)68.7%59.3%Gemini 3.5 Flash Lite
MedCode (Vals AI)43.5%31.9%Gemini 3.5 Flash Lite
LMArena Text: science14511440Gemini 3.5 Flash Lite
LMArena Text: medicine and healthcare14381432Gemini 3.5 Flash Lite
LMArena Text: legal and government14311425Gemini 3.5 Flash Lite
LMArena Text: business and finance14231432MiMo-V2.5
FACTS Benchmark Suite53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 7 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 Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5Leader
Design Arena: websitesNot measured1265Only MiMo-V2.5 measured
Design Arena: UI componentsNot measured1255Only MiMo-V2.5 measured
Design Arena: game devNot measured1249Only MiMo-V2.5 measured
Design Arena: data vizNot measured1250Only MiMo-V2.5 measured
Design Arena: 3DNot measured1215Only MiMo-V2.5 measured
Design Arena: all code categoriesNot measured1260Only MiMo-V2.5 measured
Design Arena: SVGNot measured1179Only MiMo-V2.5 measured
Design Arena: ASCII artNot measured1140Only MiMo-V2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index206
General benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5Leader
Public Benefits Bench (Vals AI)51.8%Not measuredOnly Gemini 3.5 Flash Lite measured
SAGE (Vals AI)47.3%43.3%Gemini 3.5 Flash Lite
MedScribe (Vals AI)70.9%72.2%MiMo-V2.5
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBenchNot measured67.1%Only MiMo-V2.5 measured
Long context reasoning (AA-LCR)76.0%73.0%Gemini 3.5 Flash Lite
DTBench83.5%Not measuredOnly Gemini 3.5 Flash Lite measured
LMCA37.6%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text14351428Gemini 3.5 Flash Lite
LMArena Text: instruction following14191435MiMo-V2.5
LMArena Text: creative writing14211393Gemini 3.5 Flash Lite
LMArena Vision12691247Gemini 3.5 Flash Lite
LMArena Text: English14381447MiMo-V2.5
LMArena Text: non-English14271405Gemini 3.5 Flash Lite
LMArena Text: Chinese14681469MiMo-V2.5
LMArena Text: German14541421Gemini 3.5 Flash Lite
LMArena Text: Japanese14261306Gemini 3.5 Flash Lite
LMArena Text: Korean14071361Gemini 3.5 Flash Lite
LMArena Text: French14511448Gemini 3.5 Flash Lite
LMArena Text: Spanish14411414Gemini 3.5 Flash Lite
LMArena Text: Russian14431396Gemini 3.5 Flash Lite
LMArena Text: Polish14371413Gemini 3.5 Flash Lite
LMArena Text: multi-turn14451445Gemini 3.5 Flash Lite
LMArena Text: longer queries14351445MiMo-V2.5
LMArena Text: writing and language14281409Gemini 3.5 Flash Lite
LMArena Text: entertainment and media14141399Gemini 3.5 Flash Lite
LMArena Vision: English12691259Gemini 3.5 Flash Lite
LMArena Vision: Chinese13111326MiMo-V2.5
LMArena Vision: reading text12801256Gemini 3.5 Flash Lite
LMArena Vision: humor12871226Gemini 3.5 Flash Lite
LMArena Vision: recognizing thingsNot measured1189Only MiMo-V2.5 measured
LMArena Vision: creative writing12601230Gemini 3.5 Flash Lite
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 3.5 Flash Lite and MiMo-V2.5
BenchmarkGemini 3.5 Flash LiteMiMo-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 Lite$0.0015Fits 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 Lite$0.022Fits 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 Lite$0.085Fits 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 Lite and MiMo-V2.5
SpecificationGoogle Gemini 3.5 Flash LiteXiaomi MiMo-V2.5
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$0.168
Output $/Mtok$2.50$0.336
Coding index49.050.0
Independent measurements behind it33
Cost per solved task$0.41$0.01
SourceOpenRouter listingOpenRouter listing

Questions

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

Gemini 3.5 Flash Lite and MiMo-V2.5 are level for coding, 49.0 against 50.0 on the Vibe Coding Index, so price and context decide. Pick Gemini 3.5 Flash Lite for work measured by SWE-bench Verified (Vals AI) or ALE-Bench, where it leads. Pick MiMo-V2.5 for output tokens 7.4x cheaper ($0.336 vs $2.50 per million) and a lower cost per solved task ($0.01 against $0.41).

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

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and MiMo-V2.5 $0.01.

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

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

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

66 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-5-flash-lite-vs-xiaomi-mimo-v2-5">LLMBenchmark.ai, Gemini 3.5 Flash Lite vs MiMo-V2.5</a></p>