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Gemini 2.5 Flash vs MiMo-V2.6-Pro

Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
0
MiMo-V2.6-ProXiaomi
Coding
72.6
Overall
46.3
Output $/M
$0.87
39
vs boards won of 39 shared

Decision reading

Pick MiMo-V2.6-Pro for coding: it scores 72.6 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash.

Gemini 2.5 Flash is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
39
Gemini 2.5 Flash only
30
MiMo-V2.6-Pro only
34
Like-for-like categories
7 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 2.5 Flash 28.7 from 1 benchmark, MiMo-V2.6-Pro 72.6 from 2 benchmarks.
Widest category
Web design, 35.8 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: UI components: Gemini 2.5 Flash 1005 against MiMo-V2.6-Pro 1338, 41.6 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against MiMo-V2.6-Pro $0.87 per million output tokens, 2.9x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, MiMo-V2.6-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 2.5 FlashBarsMiMo-V2.6-ProTies
Coding02
Intelligence01
Reasoning06
Math02
Knowledge05
Web design06
General017
All shared boards039
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemini 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-ProLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LiveBench codingNot measured81.5%Only MiMo-V2.6-Pro measured
LMArena WebDevNot measured1625Only MiMo-V2.6-Pro measured
Terminal-Bench 4 (Vals AI)Not measured31.3%Only MiMo-V2.6-Pro measured
Vibe Code Bench (Vals AI)Not measured85.2%Only MiMo-V2.6-Pro measured
Code migration (Vals AI)Not measured43.0%Only MiMo-V2.6-Pro measured
ProgramBench (Vals AI)Not measured0.5%Only MiMo-V2.6-Pro measured
IOI (Vals AI)Not measured39.3%Only MiMo-V2.6-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured67.8%Only MiMo-V2.6-Pro measured
SWE-bench Multimodal (Vals AI)Not measured41.3%Only MiMo-V2.6-Pro measured
CyberBench (Vals AI)Not measured72.9%Only MiMo-V2.6-Pro measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
SciCodeNot measured60.9%Only MiMo-V2.6-Pro measured
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
ALE-BenchNot measured1158.1Only MiMo-V2.6-Pro measured
LMArena Text: coding14231533MiMo-V2.6-Pro
LMArena Text: software and IT14251528MiMo-V2.6-Pro
LMArena WebDev: ReactNot measured1639Only MiMo-V2.6-Pro measured
LMArena WebDev: HTMLNot measured1616Only MiMo-V2.6-Pro measured
LMArena WebDev: from an imageNot measured1598Only MiMo-V2.6-Pro measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-ProLeader
AA Intelligence Index15.546.3MiMo-V2.6-Pro
Epoch Capabilities Index142.9Not measuredOnly Gemini 2.5 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Agentic work benchmarks for Gemini 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-ProLeader
Design Arena: agents building web appsNot measured1291Only MiMo-V2.6-Pro measured
LiveBench researchNot measured76.7%Only MiMo-V2.6-Pro measured
LiveBench browserNot measured88.0%Only MiMo-V2.6-Pro measured
LiveBench long agenticNot measured47.5%Only MiMo-V2.6-Pro measured
SREBench (Vals AI)Not measured3.0%Only MiMo-V2.6-Pro measured
Finance Agent (Vals AI)Not measured57.3%Only MiMo-V2.6-Pro measured
Tax Agent Bench (Vals AI)Not measured32.4%Only MiMo-V2.6-Pro measured
Legal Research Bench (Vals AI)Not measured47.1%Only MiMo-V2.6-Pro measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.8%Only MiMo-V2.6-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured62.9%Only MiMo-V2.6-Pro measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only MiMo-V2.6-Pro measured
τ²-Bench Telecom31.6%Not measuredOnly Gemini 2.5 Flash measured
APEX-AgentsNot measured54.4%Only MiMo-V2.6-Pro measured
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Gemini 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-ProLeader
LiveBench reasoningNot measured79.6%Only MiMo-V2.6-Pro measured
MysteryMechanism (Vals AI)Not measured15.3%Only MiMo-V2.6-Pro measured
GPQA Diamond (Artificial Analysis run)79.0%Not measuredOnly Gemini 2.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)12.1%49.4%MiMo-V2.6-Pro
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts14221511MiMo-V2.6-Pro
LMArena Text: expert14261541MiMo-V2.6-Pro
LMArena Text: hard prompts in English14201520MiMo-V2.6-Pro
LMArena Vision: diagrams12451281MiMo-V2.6-Pro
LMArena Vision: homework12441264MiMo-V2.6-Pro
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-ProLeader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
ProofBenchNot measured70.0%Only MiMo-V2.6-Pro measured
LMArena Text: math14111500MiMo-V2.6-Pro
LMArena Text: mathematical work14221511MiMo-V2.6-Pro
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Gemini 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-ProLeader
MedCode (Vals AI)40.4%45.0%MiMo-V2.6-Pro
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: science14331506MiMo-V2.6-Pro
LMArena Text: medicine and healthcare14281497MiMo-V2.6-Pro
LMArena Text: legal and government14301485MiMo-V2.6-Pro
LMArena Text: business and finance14041468MiMo-V2.6-Pro
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Gemini 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-ProLeader
Design Arena: websites10741308MiMo-V2.6-Pro
Design Arena: UI components10051338MiMo-V2.6-Pro
Design Arena: game dev10051314MiMo-V2.6-Pro
Design Arena: data viz10601337MiMo-V2.6-Pro
Design Arena: 3D10211330MiMo-V2.6-Pro
Design Arena: all code categories10591317MiMo-V2.6-Pro
Design Arena: SVG1018Not measuredOnly Gemini 2.5 Flash measured
LiveBench designNot measured78.5%Only MiMo-V2.6-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for Gemini 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-ProLeader
Vals IndexNot measured57.8%Only MiMo-V2.6-Pro measured
LiveBench data analysisNot measured72.3%Only MiMo-V2.6-Pro measured
Public Benefits Bench (Vals AI)Not measured68.9%Only MiMo-V2.6-Pro measured
SAGE (Vals AI)44.8%45.0%MiMo-V2.6-Pro
MedScribe (Vals AI)83.0%88.3%MiMo-V2.6-Pro
IFBench50.3%Not measuredOnly Gemini 2.5 Flash measured
Long context reasoning (AA-LCR)65.3%86.3%MiMo-V2.6-Pro
DTBench76.5%Not measuredOnly Gemini 2.5 Flash measured
LMCA27.5%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text14171491MiMo-V2.6-Pro
LMArena Text: instruction following14051491MiMo-V2.6-Pro
LMArena Text: creative writing14001466MiMo-V2.6-Pro
LMArena Vision12351263MiMo-V2.6-Pro
LMArena Text: English14181504MiMo-V2.6-Pro
LMArena Text: non-English14091474MiMo-V2.6-Pro
LMArena Text: Chinese14491529MiMo-V2.6-Pro
LMArena Text: German1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Japanese1396Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Korean1385Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: French1432Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Spanish1422Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Russian14151479MiMo-V2.6-Pro
LMArena Text: Polish1413Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: multi-turn14081466MiMo-V2.6-Pro
LMArena Text: longer queries14191501MiMo-V2.6-Pro
LMArena Text: writing and language14051470MiMo-V2.6-Pro
LMArena Text: entertainment and media13931465MiMo-V2.6-Pro
LMArena Vision: English12391268MiMo-V2.6-Pro
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text12371270MiMo-V2.6-Pro
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly Gemini 2.5 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 2.5 Flash and MiMo-V2.6-Pro
BenchmarkGemini 2.5 FlashMiMo-V2.6-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 2.5 Flash$0.0015Fits in one request
MiMo-V2.6-Pro$0.0009Fits in one request

MiMo-V2.6-Pro costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
MiMo-V2.6-Pro$0.024Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
MiMo-V2.6-Pro$0.096Fits in one request

Gemini 2.5 Flash 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 2.5 Flash and MiMo-V2.6-Pro
SpecificationGoogle Gemini 2.5 FlashXiaomi MiMo-V2.6-Pro
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025September 21, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$0.435
Output $/Mtok$2.50$0.87
Coding index28.772.6
Independent measurements behind it12
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than MiMo-V2.6-Pro for coding?

Pick MiMo-V2.6-Pro for coding: it scores 72.6 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash. Gemini 2.5 Flash is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Gemini 2.5 Flash or MiMo-V2.6-Pro?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or MiMo-V2.6-Pro?

MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 2.5 Flash vs MiMo-V2.6-Pro comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark and MiMo-V2.6-Pro's on 2. Where only one model has a result, the page says so instead of naming a winner.

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