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Gemini 3.7 Flash vs MiMo-V2.5-Pro

Gemini 3.7 Flash leads MiMo-V2.5-Pro on coding, 58.0 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 4.1x less per output token ($0.9152 vs $3.75 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace MiMo-V2.5-Pro
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
63
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
2
vs boards won of 65 shared

Gemini 3.7 Flash or MiMo-V2.5-Pro: which to pick

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro.

Pick MiMo-V2.5-Pro for output tokens 4.1x cheaper ($0.9152 vs $3.75 per million) and a lower cost per solved task ($0.03 against $1.78).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
65
Gemini 3.7 Flash only
49
MiMo-V2.5-Pro only
5
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 3.7 Flash 58.0 from 6 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Agentic work, 15.9 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.7 Flash 70.4% against MiMo-V2.5-Pro 34.1%, 36.3 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against MiMo-V2.5-Pro $0.9152 per million output tokens, 4.1x apart.
Context window
Gemini 3.7 Flash 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 3.7 FlashBarsMiMo-V2.5-ProTies
Coding131
Intelligence10
Agentic work40
Reasoning51
Math30
Knowledge80
Web design80
General210
All shared boards632
CodingLike-for-likeSix of these boards feed the Vibe Coding Index131
Coding benchmarks for Gemini 3.7 Flash and MiMo-V2.5-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.5-ProLeader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911480Gemini 3.7 Flash
AA Coding Index71.560.2Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%81.3%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%74.0%Gemini 3.7 Flash
Terminal-Bench 4 (Vals AI)12.1%0.5%Gemini 3.7 Flash
Vibe Code Bench (Vals AI)70.4%34.1%Gemini 3.7 Flash
Code migration (Vals AI)34.8%21.6%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%57.3%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%50.6%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured43.2%Only MiMo-V2.5-Pro measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3899.8Gemini 3.7 Flash
LMArena Text: coding14991501MiMo-V2.5-Pro
LMArena Text: software and IT14981495Gemini 3.7 Flash
LMArena WebDev: React15871469Gemini 3.7 Flash
LMArena WebDev: HTML15931473Gemini 3.7 Flash
LMArena WebDev: from an image1599Not measuredOnly Gemini 3.7 Flash measured
SciCode13.8%Not 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-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.5-ProLeader
AA Intelligence Index39.626.0Gemini 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-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro measured
Design Arena: agents building web apps1223Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building full-stack apps1208Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building mobile apps1229Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Android apps1243Not 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: spreadsheets1058Not 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%41.5%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%11.5%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%15.9%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%55.2%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured94.2%Only MiMo-V2.5-Pro 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 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for Gemini 3.7 Flash and MiMo-V2.5-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.5-ProLeader
GPQA Diamond93.9%82.6%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%86.6%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%35.7%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 prompts14951486Gemini 3.7 Flash
LMArena Text: expert15121501Gemini 3.7 Flash
LMArena Text: hard prompts in English14871494MiMo-V2.5-Pro
LMArena Vision: diagrams1329Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: homework1320Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 7 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-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.5-ProLeader
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%22.0%Gemini 3.7 Flash
LMArena Text: math15111481Gemini 3.7 Flash
LMArena Text: mathematical work15021491Gemini 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 index80
Knowledge benchmarks for Gemini 3.7 Flash and MiMo-V2.5-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.5-ProLeader
MMLU Pro90.1%84.6%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%77.1%Gemini 3.7 Flash
CorpFin (Vals AI)Not measured61.4%Only MiMo-V2.5-Pro measured
TaxEval (Vals AI)74.7%73.8%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%32.5%Gemini 3.7 Flash
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111482Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941473Gemini 3.7 Flash
LMArena Text: legal and government14961474Gemini 3.7 Flash
LMArena Text: business and finance14791466Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 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 index80
Web design benchmarks for Gemini 3.7 Flash and MiMo-V2.5-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.5-ProLeader
Design Arena: websites13031266Gemini 3.7 Flash
Design Arena: UI components12961246Gemini 3.7 Flash
Design Arena: game dev13171261Gemini 3.7 Flash
Design Arena: data viz13151257Gemini 3.7 Flash
Design Arena: 3D13071243Gemini 3.7 Flash
Design Arena: all code categories13081265Gemini 3.7 Flash
Design Arena: SVG12831181Gemini 3.7 Flash
Design Arena: ASCII art12761156Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Gemini 3.7 Flash and MiMo-V2.5-Pro
BenchmarkGemini 3.7 FlashMiMo-V2.5-ProLeader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%Not measuredOnly Gemini 3.7 Flash measured
MedScribe (Vals AI)83.9%83.7%Gemini 3.7 Flash
IFBenchNot measured79.9%Only MiMo-V2.5-Pro measured
Long context reasoning (AA-LCR)83.0%79.7%Gemini 3.7 Flash
DTBench96.8%84.5%Gemini 3.7 Flash
LMCA50.4%29.5%Gemini 3.7 Flash
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891464Gemini 3.7 Flash
LMArena Text: instruction following14841475Gemini 3.7 Flash
LMArena Text: creative writing14881438Gemini 3.7 Flash
LMArena Vision1314Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: English14831477Gemini 3.7 Flash
LMArena Text: non-English14871448Gemini 3.7 Flash
LMArena Text: Chinese15521507Gemini 3.7 Flash
LMArena Text: German15061459Gemini 3.7 Flash
LMArena Text: Japanese15111410Gemini 3.7 Flash
LMArena Text: Korean14811435Gemini 3.7 Flash
LMArena Text: French15001487Gemini 3.7 Flash
LMArena Text: Spanish14951469Gemini 3.7 Flash
LMArena Text: Russian15151449Gemini 3.7 Flash
LMArena Text: Polish15031464Gemini 3.7 Flash
LMArena Text: multi-turn14851476Gemini 3.7 Flash
LMArena Text: longer queries14921481Gemini 3.7 Flash
LMArena Text: writing and language14911451Gemini 3.7 Flash
LMArena Text: entertainment and media14771438Gemini 3.7 Flash
LMArena Vision: English1309Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: Chinese1394Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: reading text1322Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing1312Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 15 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-Pro
BenchmarkGemini 3.7 FlashMiMo-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 3.7 Flash$0.0026Fits 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 3.7 Flash$0.049Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

MiMo-V2.5-Pro 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-Pro
SpecificationGoogle Gemini 3.7 FlashXiaomi MiMo-V2.5-Pro
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$0.4575
Output $/Mtok$3.75$0.9152
Coding index58.031.6
Independent measurements behind it64
Cost per solved task$1.78$0.03
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro for output tokens 4.1x cheaper ($0.9152 vs $3.75 per million) and a lower cost per solved task ($0.03 against $1.78).

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

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and MiMo-V2.5-Pro $0.03.

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

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

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

65 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 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-3-7-flash-vs-xiaomi-mimo-v2-5-pro">LLMBenchmark.ai, Gemini 3.7 Flash vs MiMo-V2.5-Pro</a></p>