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Gemini 3.5 Flash Lite vs MiMo-V2.5-Pro

Gemini 3.5 Flash Lite leads MiMo-V2.5-Pro on coding, 49.0 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 2.7x less per output token ($0.9152 vs $2.50 per million). Updated October 22, 2026; 57 benchmarks have a result for both.

Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
49.8
Output $/M
$2.50
9
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
48
vs boards won of 57 shared

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

Pick Gemini 3.5 Flash Lite for coding: it scores 49.0 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4.

Pick MiMo-V2.5-Pro for output tokens 2.7x cheaper ($0.9152 vs $2.50 per million) and a lower cost per solved task ($0.03 against $0.41).

Shared results
57
Gemini 3.5 Flash Lite only
28
MiMo-V2.5-Pro only
13
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-Pro 31.6 from 4 benchmarks.
Widest category
Math, 8.8 points apart on average over 3 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 3.5 Flash Lite 18.8% against MiMo-V2.5-Pro 35.7%, 16.9 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against MiMo-V2.5-Pro $0.9152 per million output tokens, 2.7x apart.
Context window
Gemini 3.5 Flash Lite takes 1.05M tokens, MiMo-V2.5-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 3.5 Flash LiteBarsMiMo-V2.5-ProTies
Coding210
Intelligence01
Agentic work14
Reasoning15
Math03
Knowledge36
General219
All shared boards948
CodingLike-for-likeSix of these boards feed the Vibe Coding Index210
Coding benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-ProLeader
LMArena WebDev14351480MiMo-V2.5-Pro
AA Coding Index49.360.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)79.0%81.3%MiMo-V2.5-Pro
SWE-bench Verified (Vals AI)75.0%74.0%Gemini 3.5 Flash Lite
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)37.2%34.1%Gemini 3.5 Flash Lite
Code migration (Vals AI)6.2%21.6%MiMo-V2.5-Pro
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench 2.1 (Vals AI)50.2%57.3%MiMo-V2.5-Pro
CyberBench (Vals AI)59.1%Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode41.3%50.6%MiMo-V2.5-Pro
Terminal-Bench Hard (Artificial Analysis run)Not measured43.2%Only MiMo-V2.5-Pro measured
WeirdML39.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ALE-Bench765.3899.8MiMo-V2.5-Pro
LMArena Text: coding14531501MiMo-V2.5-Pro
LMArena Text: software and IT14511495MiMo-V2.5-Pro
LMArena WebDev: React14081469MiMo-V2.5-Pro
LMArena WebDev: HTMLNot measured1473Only MiMo-V2.5-Pro 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 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-ProLeader
AA Intelligence Index22.226.0MiMo-V2.5-Pro
Epoch Capabilities Index144.9Not measuredOnly Gemini 3.5 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-ProLeader
AA Agentic Index14.321.3MiMo-V2.5-Pro
Finance Agent (Vals AI)47.4%41.5%Gemini 3.5 Flash Lite
Tax Agent Bench (Vals AI)7.2%11.5%MiMo-V2.5-Pro
Legal Research Bench (Vals AI)13.9%15.9%MiMo-V2.5-Pro
Excel Modeling Benchmark (Vals AI)43.2%55.2%MiMo-V2.5-Pro
τ²-Bench TelecomNot measured94.2%Only MiMo-V2.5-Pro 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 index15
Reasoning benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-ProLeader
GPQA Diamond83.8%82.6%Gemini 3.5 Flash Lite
MMMU Pro (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)83.8%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)18.8%35.7%MiMo-V2.5-Pro
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 prompts14411486MiMo-V2.5-Pro
LMArena Text: expert14341501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14401494MiMo-V2.5-Pro
LMArena Vision: diagrams1284Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: homework1291Not measuredOnly Gemini 3.5 Flash Lite measured
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-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-ProLeader
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%22.0%MiMo-V2.5-Pro
LMArena Text: math14341481MiMo-V2.5-Pro
LMArena Text: mathematical work14331491MiMo-V2.5-Pro
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index36
Knowledge benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-ProLeader
MMLU Pro85.8%84.6%Gemini 3.5 Flash Lite
LegalBench (Vals AI)84.1%77.1%Gemini 3.5 Flash Lite
CorpFin (Vals AI)60.7%61.4%MiMo-V2.5-Pro
TaxEval (Vals AI)72.6%73.8%MiMo-V2.5-Pro
MortgageTax (Vals AI)68.7%Not measuredOnly Gemini 3.5 Flash Lite measured
MedCode (Vals AI)43.5%32.5%Gemini 3.5 Flash Lite
LMArena Text: science14511482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14381473MiMo-V2.5-Pro
LMArena Text: legal and government14311474MiMo-V2.5-Pro
LMArena Text: business and finance14231466MiMo-V2.5-Pro
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-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-ProLeader
Design Arena: websitesNot measured1266Only MiMo-V2.5-Pro measured
Design Arena: UI componentsNot measured1246Only MiMo-V2.5-Pro measured
Design Arena: game devNot measured1261Only MiMo-V2.5-Pro measured
Design Arena: data vizNot measured1257Only MiMo-V2.5-Pro measured
Design Arena: 3DNot measured1243Only MiMo-V2.5-Pro measured
Design Arena: all code categoriesNot measured1265Only MiMo-V2.5-Pro measured
Design Arena: SVGNot measured1181Only MiMo-V2.5-Pro measured
Design Arena: ASCII artNot measured1156Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index219
General benchmarks for Gemini 3.5 Flash Lite and MiMo-V2.5-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-ProLeader
Public Benefits Bench (Vals AI)51.8%Not measuredOnly Gemini 3.5 Flash Lite measured
SAGE (Vals AI)47.3%Not measuredOnly Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)70.9%83.7%MiMo-V2.5-Pro
IFBenchNot measured79.9%Only MiMo-V2.5-Pro measured
Long context reasoning (AA-LCR)76.0%79.7%MiMo-V2.5-Pro
DTBench83.5%84.5%MiMo-V2.5-Pro
LMCA37.6%29.5%Gemini 3.5 Flash Lite
LMArena Text14351464MiMo-V2.5-Pro
LMArena Text: instruction following14191475MiMo-V2.5-Pro
LMArena Text: creative writing14211438MiMo-V2.5-Pro
LMArena Vision1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: English14381477MiMo-V2.5-Pro
LMArena Text: non-English14271448MiMo-V2.5-Pro
LMArena Text: Chinese14681507MiMo-V2.5-Pro
LMArena Text: German14541459MiMo-V2.5-Pro
LMArena Text: Japanese14261410Gemini 3.5 Flash Lite
LMArena Text: Korean14071435MiMo-V2.5-Pro
LMArena Text: French14511487MiMo-V2.5-Pro
LMArena Text: Spanish14411469MiMo-V2.5-Pro
LMArena Text: Russian14431449MiMo-V2.5-Pro
LMArena Text: Polish14371464MiMo-V2.5-Pro
LMArena Text: multi-turn14451476MiMo-V2.5-Pro
LMArena Text: longer queries14351481MiMo-V2.5-Pro
LMArena Text: writing and language14281451MiMo-V2.5-Pro
LMArena Text: entertainment and media14141438MiMo-V2.5-Pro
LMArena Vision: English1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: Chinese1311Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: reading text1280Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: humor1287Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: creative writing1260Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 16 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-Pro
BenchmarkGemini 3.5 Flash LiteMiMo-V2.5-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 3.5 Flash Lite$0.0015Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

Gemini 3.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

Gemini 3.5 Flash Lite 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-Pro
SpecificationGoogle Gemini 3.5 Flash LiteXiaomi MiMo-V2.5-Pro
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$0.4575
Output $/Mtok$2.50$0.9152
Coding index49.031.6
Independent measurements behind it34
Cost per solved task$0.41$0.03
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Gemini 3.5 Flash Lite for coding: it scores 49.0 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4. Pick MiMo-V2.5-Pro for output tokens 2.7x cheaper ($0.9152 vs $2.50 per million) and a lower cost per solved task ($0.03 against $0.41).

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

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and MiMo-V2.5-Pro $0.03.

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

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

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

57 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-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-3-5-flash-lite-vs-xiaomi-mimo-v2-5-pro">LLMBenchmark.ai, Gemini 3.5 Flash Lite vs MiMo-V2.5-Pro</a></p>