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Gemini 3.8 Flash vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads Gemini 3.8 Flash on coding, 65.4 to 61.6 on the Vibe Coding Index, and MiMo-V2.6-Pro costs 4.3x less per output token ($0.87 vs $3.75 per million). Updated October 22, 2026; 73 benchmarks have a result for both.

Replace Gemini 3.8 Flash Replace MiMo-V2.6-Pro
Gemini 3.8 FlashGoogle
Coding
61.6
Overall
69.0
Output $/M
$3.75
36
MiMo-V2.6-ProXiaomi
Coding
65.4
Overall
68.4
Output $/M
$0.87
37
vs boards won of 73 shared

Gemini 3.8 Flash or MiMo-V2.6-Pro: which to pick

Pick MiMo-V2.6-Pro for coding: it scores 65.4 on the Vibe Coding Index against 61.6 for Gemini 3.8 Flash, though on 4 benchmarks against 6.

Pick Gemini 3.8 Flash for work measured by LiveBench coding or ProgramBench (Vals AI), where it leads.

Model AGemini 3.8 FlashGoogle61.6/1006 independent benchmarks$2.74 per solved taskModel BMiMo-V2.6-ProXiaomi65.4/1004 independent benchmarksNo cost per solved task
Shared results
73
Gemini 3.8 Flash only
55
MiMo-V2.6-Pro only
0
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 3.8 Flash 61.6 from 6 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
Widest category
Math, 9.5 points apart on average over 3 shared benchmarks.
Widest single gap
CyberBench (Vals AI): Gemini 3.8 Flash 43.8% against MiMo-V2.6-Pro 72.9%, 29.1 points apart on a 0 to 100 scale.
Output price
Gemini 3.8 Flash $3.75 against MiMo-V2.6-Pro $0.87 per million output tokens, 4.3x apart.
Context window
Gemini 3.8 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 3.8 FlashBarsMiMo-V2.6-ProTies
Coding611
Intelligence01
Agentic work66
Reasoning44
Math21
Knowledge50
Web design07
General137
All shared boards3637
CodingLike-for-likeSix of these boards feed the Vibe Coding Index611
Coding benchmarks for Gemini 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 FlashMiMo-V2.6-ProLeader
LiveBench coding82.2%81.5%Gemini 3.8 Flash
LMArena WebDev15851625MiMo-V2.6-Pro
AA Coding Index76.3Not measuredOnly Gemini 3.8 Flash measured
LiveCodeBench (Vals AI)89.5%Not measuredOnly Gemini 3.8 Flash measured
SWE-bench Verified (Vals AI)80.0%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench 4 (Vals AI)19.7%31.3%MiMo-V2.6-Pro
Vibe Code Bench (Vals AI)78.7%85.2%MiMo-V2.6-Pro
Code migration (Vals AI)36.5%43.0%MiMo-V2.6-Pro
ProgramBench (Vals AI)1.0%0.5%Gemini 3.8 Flash
IOI (Vals AI)56.9%39.3%Gemini 3.8 Flash
Terminal-Bench 2.1 (Vals AI)81.3%67.8%Gemini 3.8 Flash
SWE-bench Multimodal (Vals AI)40.8%41.3%MiMo-V2.6-Pro
Vibe Code Bench 1-100 (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
SkillsBench (Vals AI)58.0%Not measuredOnly Gemini 3.8 Flash measured
CyberBench (Vals AI)43.8%72.9%MiMo-V2.6-Pro
SciCode56.6%60.9%MiMo-V2.6-Pro
FrontierCode41.2%Not measuredOnly Gemini 3.8 Flash measured
FrontierSWE19.6%Not measuredOnly Gemini 3.8 Flash measured
WeirdML84.8%Not measuredOnly Gemini 3.8 Flash measured
ALE-Bench1269.71158.1Gemini 3.8 Flash
LMArena Text: coding15081533MiMo-V2.6-Pro
LMArena Text: software and IT15071528MiMo-V2.6-Pro
LMArena WebDev: React15771639MiMo-V2.6-Pro
LMArena WebDev: HTML16161616Gemini 3.8 Flash
LMArena WebDev: from an image15931598MiMo-V2.6-Pro
SciCode12.3%Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 FlashMiMo-V2.6-ProLeader
AA Intelligence Index40.946.3MiMo-V2.6-Pro
Epoch Capabilities Index157.4Not measuredOnly Gemini 3.8 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index66
Agentic work benchmarks for Gemini 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 FlashMiMo-V2.6-ProLeader
AA Agentic Index40.2Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building web apps12381290MiMo-V2.6-Pro
Design Arena: agents building full-stack apps1244Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building mobile apps1236Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Android apps1078Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Godot games1273Not measuredOnly Gemini 3.8 Flash measured
Design Arena: PowerPoint slides1153Not measuredOnly Gemini 3.8 Flash measured
Design Arena: spreadsheets1022Not measuredOnly Gemini 3.8 Flash measured
LiveBench research79.1%76.7%Gemini 3.8 Flash
LiveBench browser64.0%88.0%MiMo-V2.6-Pro
LiveBench long agentic30.1%47.5%MiMo-V2.6-Pro
SREBench (Vals AI)11.1%3.0%Gemini 3.8 Flash
Finance Agent (Vals AI)61.4%57.3%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)32.1%32.4%MiMo-V2.6-Pro
Legal Research Bench (Vals AI)38.9%47.1%MiMo-V2.6-Pro
Harvey's Legal Agent Benchmark (Vals AI)12.1%13.8%MiMo-V2.6-Pro
Excel Modeling Benchmark (Vals AI)72.2%62.9%Gemini 3.8 Flash
BioMysteryBench (Vals AI)62.2%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench-Science (Vals AI)8.6%2.9%Gemini 3.8 Flash
Vals Science Index35.8%Not measuredOnly Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
CUA-bench (Vals AI)4.2%Not measuredOnly Gemini 3.8 Flash measured
APEX-Agents64.3%54.4%Gemini 3.8 Flash
Remote Labor Index5.8%Not measuredOnly Gemini 3.8 Flash measured
Vending-Bench 2$5,094Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index44
Reasoning benchmarks for Gemini 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 FlashMiMo-V2.6-ProLeader
GPQA Diamond94.4%Not measuredOnly Gemini 3.8 Flash measured
LiveBench reasoning89.3%79.6%Gemini 3.8 Flash
MysteryMechanism (Vals AI)36.5%15.3%Gemini 3.8 Flash
MMMU Pro (Vals AI)89.1%Not measuredOnly Gemini 3.8 Flash measured
GPQA Diamond (Artificial Analysis run)95.3%Not measuredOnly Gemini 3.8 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.8%49.4%MiMo-V2.6-Pro
GPQA Diamond (Epoch AI run)95.4%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI98.5%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI-289.2%Not measuredOnly Gemini 3.8 Flash measured
Chess puzzles58.0%Not measuredOnly Gemini 3.8 Flash measured
Mystery game puzzles47.0%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: hard prompts15091511MiMo-V2.6-Pro
LMArena Text: expert15261541MiMo-V2.6-Pro
LMArena Text: hard prompts in English15041520MiMo-V2.6-Pro
LMArena Vision: diagrams13451281Gemini 3.8 Flash
LMArena Vision: homework13511264Gemini 3.8 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemini 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 FlashMiMo-V2.6-ProLeader
OTIS Mock AIME98.9%Not measuredOnly Gemini 3.8 Flash measured
FrontierMath, tiers 1 to 368.4%Not measuredOnly Gemini 3.8 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.8 Flash measured
ProofBench48.0%70.0%MiMo-V2.6-Pro
LMArena Text: math15321500Gemini 3.8 Flash
LMArena Text: mathematical work15191511Gemini 3.8 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 FlashMiMo-V2.6-ProLeader
MMLU Pro90.2%Not measuredOnly Gemini 3.8 Flash measured
LegalBench (Vals AI)87.0%Not measuredOnly Gemini 3.8 Flash measured
TaxEval (Vals AI)74.5%Not measuredOnly Gemini 3.8 Flash measured
MortgageTax (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
MedCode (Vals AI)48.1%45.0%Gemini 3.8 Flash
SimpleQA Verified69.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: science15231506Gemini 3.8 Flash
LMArena Text: medicine and healthcare15081497Gemini 3.8 Flash
LMArena Text: legal and government14971485Gemini 3.8 Flash
LMArena Text: business and finance14791468Gemini 3.8 Flash
FACTS Benchmark Suite69.4%Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 FlashMiMo-V2.6-ProLeader
Design Arena: websites13001308MiMo-V2.6-Pro
Design Arena: UI components13161340MiMo-V2.6-Pro
Design Arena: game dev13041314MiMo-V2.6-Pro
Design Arena: data viz12701336MiMo-V2.6-Pro
Design Arena: 3D12941330MiMo-V2.6-Pro
Design Arena: all code categories13031317MiMo-V2.6-Pro
Design Arena: SVG1296Not measuredOnly Gemini 3.8 Flash measured
Design Arena: ASCII art1262Not measuredOnly Gemini 3.8 Flash measured
LiveBench design72.7%78.5%MiMo-V2.6-Pro
GeneralLike-for-likePublic boards, shown as published, kept out of the index137
General benchmarks for Gemini 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 FlashMiMo-V2.6-ProLeader
Vals Index56.0%57.8%MiMo-V2.6-Pro
LiveBench data analysis54.0%72.3%MiMo-V2.6-Pro
Public Benefits Bench (Vals AI)65.3%68.9%MiMo-V2.6-Pro
SAGE (Vals AI)35.1%45.0%MiMo-V2.6-Pro
MedScribe (Vals AI)84.5%88.3%MiMo-V2.6-Pro
Long context reasoning (AA-LCR)84.0%86.3%MiMo-V2.6-Pro
DTBench95.7%Not measuredOnly Gemini 3.8 Flash measured
LMCA52.9%Not measuredOnly Gemini 3.8 Flash measured
Surface Evolver Bench76.9%Not measuredOnly Gemini 3.8 Flash measured
Furniture assembly31.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text14991491Gemini 3.8 Flash
LMArena Text: instruction following14921491Gemini 3.8 Flash
LMArena Text: creative writing14881466Gemini 3.8 Flash
LMArena Vision13151263Gemini 3.8 Flash
LMArena Text: English14981504MiMo-V2.6-Pro
LMArena Text: non-English14911474Gemini 3.8 Flash
LMArena Text: Chinese15531529Gemini 3.8 Flash
LMArena Text: German1501Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Japanese1507Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Korean1464Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: French1496Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Spanish1487Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Russian15141479Gemini 3.8 Flash
LMArena Text: Polish1497Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: multi-turn15031466Gemini 3.8 Flash
LMArena Text: longer queries15071501Gemini 3.8 Flash
LMArena Text: writing and language14941470Gemini 3.8 Flash
LMArena Text: entertainment and media14801465Gemini 3.8 Flash
LMArena Vision: English13181268Gemini 3.8 Flash
LMArena Vision: Chinese1416Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: reading text13331270Gemini 3.8 Flash
LMArena Vision: humor1321Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: creative writing1299Not measuredOnly Gemini 3.8 Flash measured
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 3.8 Flash and MiMo-V2.6-Pro
BenchmarkGemini 3.8 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 3.8 Flash$0.0026Fits 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 3.8 Flash$0.049Fits in one request
MiMo-V2.6-Pro$0.024Fits in one request

MiMo-V2.6-Pro costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.188Fits in one request
MiMo-V2.6-Pro$0.096Fits in one request

MiMo-V2.6-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 3.8 Flash and MiMo-V2.6-Pro
SpecificationGoogle Gemini 3.8 FlashXiaomi MiMo-V2.6-Pro
MakerGoogleXiaomi
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026September 21, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$0.435
Output $/Mtok$3.75$0.87
Coding index61.665.4
Independent measurements behind it64
Cost per solved task$2.74Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than MiMo-V2.6-Pro for coding?

Pick MiMo-V2.6-Pro for coding: it scores 65.4 on the Vibe Coding Index against 61.6 for Gemini 3.8 Flash, though on 4 benchmarks against 6. Pick Gemini 3.8 Flash for work measured by LiveBench coding or ProgramBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.8 Flash or MiMo-V2.6-Pro?

Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for Gemini 3.8 Flash only.

Which has the bigger context window, Gemini 3.8 Flash or MiMo-V2.6-Pro?

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

How many benchmarks is the Gemini 3.8 Flash vs MiMo-V2.6-Pro comparison based on?

73 benchmarks have a result for both models as of October 22, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and MiMo-V2.6-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-3-8-flash-vs-xiaomi-mimo-v2-6-pro">LLMBenchmark.ai, Gemini 3.8 Flash vs MiMo-V2.6-Pro</a></p>