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Gemini 3.7 Flash vs MiMo-V2.5

Updated October 21, 2026. 73 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.7 Flash Replace MiMo-V2.5
Gemini 3.7 FlashGoogle
Coding
69.9
Overall
39.6
Output $/M
$3.75
73
MiMo-V2.5Xiaomi
Coding
34.0
Overall
21.8
Output $/M
$0.238
0
vs boards won of 73 shared

Decision reading

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 34.0 for MiMo-V2.5.

Pick MiMo-V2.5 when output tokens cost 15.8x less, or when a solved task costs $0.01 against $1.78.

Model AGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved taskModel BMiMo-V2.5Xiaomi34.0/1001 independent benchmark$0.01 per solved task
Shared results
73
Gemini 3.7 Flash only
39
MiMo-V2.5 only
7
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 69.9 from 2 benchmarks, MiMo-V2.5 34.0 from 1 benchmark.
Widest category
Math, 21.0 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: Gemini 3.7 Flash 58.0% against MiMo-V2.5 16.0%, 42.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against MiMo-V2.5 $0.238 per million output tokens, 15.8x apart.
Context window
Gemini 3.7 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 3.7 FlashBarsMiMo-V2.5Ties
Coding130
Intelligence10
Agentic work40
Reasoning90
Math30
Knowledge90
Web design80
General260
All shared boards730
CodingLike-for-likeFour of these boards feed the Vibe Coding Index130
Coding benchmarks for Gemini 3.7 Flash and MiMo-V2.5
BenchmarkGemini 3.7 FlashMiMo-V2.5Leader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911438Gemini 3.7 Flash
AA Coding Index71.556.8Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%81.5%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%71.0%Gemini 3.7 Flash
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%42.2%Gemini 3.7 Flash
Code migration (Vals AI)34.8%14.2%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.7 Flash measured
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%60.7%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%43.9%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured41.7%Only MiMo-V2.5 measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3514.0Gemini 3.7 Flash
LMArena Text: coding14991469Gemini 3.7 Flash
LMArena Text: software and IT14981463Gemini 3.7 Flash
LMArena WebDev: React15871425Gemini 3.7 Flash
LMArena WebDev: HTML15931429Gemini 3.7 Flash
LMArena WebDev: from an image1599Not 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 index10
Intelligence benchmarks for Gemini 3.7 Flash and MiMo-V2.5
BenchmarkGemini 3.7 FlashMiMo-V2.5Leader
AA Intelligence Index39.621.8Gemini 3.7 Flash
Epoch Capabilities Index158.0Not measuredOnly Gemini 3.7 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Gemini 3.7 Flash and MiMo-V2.5
BenchmarkGemini 3.7 FlashMiMo-V2.5Leader
AA Agentic IndexNot measured15.8Only MiMo-V2.5 measured
Design Arena: agents building web apps1224Not measuredOnly Gemini 3.7 Flash measured
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 apps1247Not 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: spreadsheets1028Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%Not measuredOnly Gemini 3.7 Flash measured
LiveBench browser56.0%Not measuredOnly Gemini 3.7 Flash measured
LiveBench long agentic28.3%Not measuredOnly Gemini 3.7 Flash measured
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%36.7%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%7.8%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%9.1%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%55.1%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured90.6%Only MiMo-V2.5 measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 3.7 Flash and MiMo-V2.5
BenchmarkGemini 3.7 FlashMiMo-V2.5Leader
GPQA Diamond93.9%81.6%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%80.0%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%84.9%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%27.2%Gemini 3.7 Flash
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 prompts14951450Gemini 3.7 Flash
LMArena Text: expert15121459Gemini 3.7 Flash
LMArena Text: hard prompts in English14871461Gemini 3.7 Flash
LMArena Vision: diagrams13291269Gemini 3.7 Flash
LMArena Vision: homework13201262Gemini 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 index30
Math benchmarks for Gemini 3.7 Flash and MiMo-V2.5
BenchmarkGemini 3.7 FlashMiMo-V2.5Leader
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%16.0%Gemini 3.7 Flash
LMArena Text: math15111436Gemini 3.7 Flash
LMArena Text: mathematical work15021451Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Gemini 3.7 Flash and MiMo-V2.5
BenchmarkGemini 3.7 FlashMiMo-V2.5Leader
MMLU Pro90.1%82.9%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%78.9%Gemini 3.7 Flash
CorpFin (Vals AI)Not measured59.9%Only MiMo-V2.5 measured
TaxEval (Vals AI)74.7%71.8%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%59.3%Gemini 3.7 Flash
MedCode (Vals AI)53.4%31.9%Gemini 3.7 Flash
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111440Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941432Gemini 3.7 Flash
LMArena Text: legal and government14961425Gemini 3.7 Flash
LMArena Text: business and finance14791432Gemini 3.7 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.7 Flash and MiMo-V2.5
BenchmarkGemini 3.7 FlashMiMo-V2.5Leader
Design Arena: websites13041266Gemini 3.7 Flash
Design Arena: UI components12991257Gemini 3.7 Flash
Design Arena: game dev13181249Gemini 3.7 Flash
Design Arena: data viz13151249Gemini 3.7 Flash
Design Arena: 3D13081216Gemini 3.7 Flash
Design Arena: all code categories13081260Gemini 3.7 Flash
Design Arena: SVG12831178Gemini 3.7 Flash
Design Arena: ASCII art12761141Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
General benchmarks for Gemini 3.7 Flash and MiMo-V2.5
BenchmarkGemini 3.7 FlashMiMo-V2.5Leader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%43.3%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%72.2%Gemini 3.7 Flash
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBenchNot measured67.1%Only MiMo-V2.5 measured
Long context reasoning (AA-LCR)83.0%73.0%Gemini 3.7 Flash
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 Text14891428Gemini 3.7 Flash
LMArena Text: instruction following14841435Gemini 3.7 Flash
LMArena Text: creative writing14881393Gemini 3.7 Flash
LMArena Vision13141247Gemini 3.7 Flash
LMArena Text: English14831447Gemini 3.7 Flash
LMArena Text: non-English14871405Gemini 3.7 Flash
LMArena Text: Chinese15521469Gemini 3.7 Flash
LMArena Text: German15061421Gemini 3.7 Flash
LMArena Text: Japanese15111306Gemini 3.7 Flash
LMArena Text: Korean14811361Gemini 3.7 Flash
LMArena Text: French15001448Gemini 3.7 Flash
LMArena Text: Spanish14951414Gemini 3.7 Flash
LMArena Text: Russian15151396Gemini 3.7 Flash
LMArena Text: Polish15031413Gemini 3.7 Flash
LMArena Text: multi-turn14851445Gemini 3.7 Flash
LMArena Text: longer queries14921445Gemini 3.7 Flash
LMArena Text: writing and language14911409Gemini 3.7 Flash
LMArena Text: entertainment and media14771399Gemini 3.7 Flash
LMArena Vision: English13091259Gemini 3.7 Flash
LMArena Vision: Chinese13941326Gemini 3.7 Flash
LMArena Vision: reading text13221256Gemini 3.7 Flash
LMArena Vision: humor12991226Gemini 3.7 Flash
LMArena Vision: recognizing thingsNot measured1189Only MiMo-V2.5 measured
LMArena Vision: creative writing13121230Gemini 3.7 Flash
Neither model has a result on the other 13 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-V2.5
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
MiMo-V2.5$0.0002Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
MiMo-V2.5$0.0067Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
MiMo-V2.5$0.026Fits 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 3.7 Flash and MiMo-V2.5
SpecificationGoogle Gemini 3.7 FlashXiaomi MiMo-V2.5
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$0.119
Output $/Mtok$3.75$0.238
Coding index69.934.0
Independent measurements behind it21
Cost per solved task$1.78$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than MiMo-V2.5 for coding?

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 34.0 for MiMo-V2.5. Pick MiMo-V2.5 when output tokens cost 15.8x less, or when a solved task costs $0.01 against $1.78.

Which is cheaper, Gemini 3.7 Flash or MiMo-V2.5?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiMo-V2.5 costs $0.119 and $0.238. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and MiMo-V2.5 $0.01.

Which has the bigger context window, Gemini 3.7 Flash or MiMo-V2.5?

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

How many benchmarks is the Gemini 3.7 Flash vs MiMo-V2.5 comparison based on?

73 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 2 independent benchmarks and MiMo-V2.5's on 1. Where only one model has a result, the page says so instead of naming a winner.

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