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Gemma 4 31B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads Gemma 4 31B on coding, 54.7 to 39.0 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 1.4x less per output token ($0.28 vs $0.40 per million). Updated October 21, 2026; 40 benchmarks have a result for both.

Replace Gemma 4 31B Replace MiMo-V2.6-Flash
Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
12
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
28
vs boards won of 40 shared

Gemma 4 31B or MiMo-V2.6-Flash: which to pick

Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 39.0 for Gemma 4 31B.

Pick Gemma 4 31B for work measured by LMArena Vision: diagrams or LMArena Vision: homework, where it leads.

Model AGemma 4 31BGoogle39.0/1002 independent benchmarksNo cost per solved taskModel BMiMo-V2.6-FlashXiaomi54.7/1003 independent benchmarksNo cost per solved task
Shared results
40
Gemma 4 31B only
31
MiMo-V2.6-Flash only
26
Like-for-like categories
6 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
Gemma 4 31B 39.0 from 2 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Intelligence, 23.2 points apart on average over 1 shared benchmark.
Widest single gap
LMArena WebDev: React: Gemma 4 31B 1359 against MiMo-V2.6-Flash 1648, 40.1 points apart on a 0 to 100 scale.
Output price
Gemma 4 31B $0.40 against MiMo-V2.6-Flash $0.28 per million output tokens, 1.4x apart.
Context window
Gemma 4 31B takes 262K tokens, MiMo-V2.6-Flash 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
CategoryGemma 4 31BBarsMiMo-V2.6-FlashTies
Coding07
Intelligence01
Reasoning24
Math02
Knowledge13
General911
All shared boards1228
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
LiveBench coding49.0%Not measuredOnly Gemma 4 31B measured
LMArena WebDev13671634MiMo-V2.6-Flash
AA Coding Index43.4Not measuredOnly Gemma 4 31B measured
Terminal-Bench 4 (Vals AI)Not measured24.2%Only MiMo-V2.6-Flash measured
Vibe Code Bench (Vals AI)Not measured79.0%Only MiMo-V2.6-Flash measured
Code migration (Vals AI)Not measured40.9%Only MiMo-V2.6-Flash measured
ProgramBench (Vals AI)Not measured0.5%Only MiMo-V2.6-Flash measured
IOI (Vals AI)Not measured47.7%Only MiMo-V2.6-Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured76.4%Only MiMo-V2.6-Flash measured
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCode45.5%51.3%MiMo-V2.6-Flash
Terminal-Bench Hard (Artificial Analysis run)36.4%Not measuredOnly Gemma 4 31B measured
WeirdML52.3%Not measuredOnly Gemma 4 31B measured
ALE-Bench925.51244.2MiMo-V2.6-Flash
LMArena Text: coding14591499MiMo-V2.6-Flash
LMArena Text: software and IT14631497MiMo-V2.6-Flash
LMArena WebDev: React13591648MiMo-V2.6-Flash
LMArena WebDev: HTML13801641MiMo-V2.6-Flash
LMArena WebDev: from an imageNot measured1596Only MiMo-V2.6-Flash measured
SciCode8.9%Not measuredOnly Gemma 4 31B 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 Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
AA Intelligence Index14.737.9MiMo-V2.6-Flash
Epoch Capabilities Index143.0Not measuredOnly Gemma 4 31B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
AA Agentic Index4.2Not measuredOnly Gemma 4 31B measured
LiveBench research44.4%Not measuredOnly Gemma 4 31B measured
LiveBench browser4.0%Not measuredOnly Gemma 4 31B measured
LiveBench long agentic13.3%Not measuredOnly Gemma 4 31B measured
SREBench (Vals AI)Not measured4.2%Only MiMo-V2.6-Flash measured
Finance Agent (Vals AI)Not measured56.3%Only MiMo-V2.6-Flash measured
Tax Agent Bench (Vals AI)Not measured28.5%Only MiMo-V2.6-Flash measured
Legal Research Bench (Vals AI)Not measured38.0%Only MiMo-V2.6-Flash measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.3%Only MiMo-V2.6-Flash measured
Excel Modeling Benchmark (Vals AI)Not measured65.5%Only MiMo-V2.6-Flash measured
BioMysteryBench (Vals AI)Not measured69.3%Only MiMo-V2.6-Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only MiMo-V2.6-Flash measured
Vals Science IndexNot measured31.7%Only MiMo-V2.6-Flash measured
τ²-Bench Telecom65.5%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
LiveBench reasoning68.3%Not measuredOnly Gemma 4 31B measured
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)85.7%Not measuredOnly Gemma 4 31B measured
Humanity's Last Exam (Artificial Analysis run)23.6%35.1%MiMo-V2.6-Flash
GPQA Diamond (Epoch AI run)75.8%Not measuredOnly Gemma 4 31B measured
LMArena Text: hard prompts14481475MiMo-V2.6-Flash
LMArena Text: expert14641496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14561493MiMo-V2.6-Flash
LMArena Vision: diagrams12831276Gemma 4 31B
LMArena Vision: homework13101283Gemma 4 31B
Kagi LLM Benchmark63.5%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
OTIS Mock AIME73.3%Not measuredOnly Gemma 4 31B measured
ProofBenchNot measured63.0%Only MiMo-V2.6-Flash measured
LMArena Text: math14631476MiMo-V2.6-Flash
LMArena Text: mathematical work14651478MiMo-V2.6-Flash
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
CaseLaw (Vals AI)52.6%Not measuredOnly Gemma 4 31B measured
MortgageTax (Vals AI)61.4%Not measuredOnly Gemma 4 31B measured
MedCode (Vals AI)Not measured41.1%Only MiMo-V2.6-Flash measured
SimpleQA Verified10.4%Not measuredOnly Gemma 4 31B measured
LMArena Text: science14571462MiMo-V2.6-Flash
LMArena Text: medicine and healthcare14511439Gemma 4 31B
LMArena Text: legal and government14381441MiMo-V2.6-Flash
LMArena Text: business and finance14301454MiMo-V2.6-Flash
FACTS Benchmark Suite45.3%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
LiveBench design58.4%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index911
General benchmarks for Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
Vals IndexNot measured54.8%Only MiMo-V2.6-Flash measured
LiveBench data analysis53.3%Not measuredOnly Gemma 4 31B measured
Public Benefits Bench (Vals AI)Not measured67.6%Only MiMo-V2.6-Flash measured
SAGE (Vals AI)55.0%43.5%Gemma 4 31B
MedScribe (Vals AI)Not measured85.3%Only MiMo-V2.6-Flash measured
IFBench75.6%Not measuredOnly Gemma 4 31B measured
Long context reasoning (AA-LCR)69.7%74.3%MiMo-V2.6-Flash
DTBench82.7%Not measuredOnly Gemma 4 31B measured
LMCA39.3%Not measuredOnly Gemma 4 31B measured
Surface Evolver Bench30.6%Not measuredOnly Gemma 4 31B measured
LMArena Text14431453MiMo-V2.6-Flash
LMArena Text: instruction following14331452MiMo-V2.6-Flash
LMArena Text: creative writing14171403Gemma 4 31B
LMArena Vision12761256Gemma 4 31B
LMArena Text: English14511476MiMo-V2.6-Flash
LMArena Text: non-English14301431MiMo-V2.6-Flash
LMArena Text: Chinese14751509MiMo-V2.6-Flash
LMArena Text: GermanNot measured1458Only MiMo-V2.6-Flash measured
LMArena Text: JapaneseNot measured1359Only MiMo-V2.6-Flash measured
LMArena Text: KoreanNot measured1425Only MiMo-V2.6-Flash measured
LMArena Text: French14361480MiMo-V2.6-Flash
LMArena Text: Spanish14421453MiMo-V2.6-Flash
LMArena Text: Russian14601409Gemma 4 31B
LMArena Text: Polish14331455MiMo-V2.6-Flash
LMArena Text: multi-turn14521447Gemma 4 31B
LMArena Text: longer queries14461459MiMo-V2.6-Flash
LMArena Text: writing and language14321424Gemma 4 31B
LMArena Text: entertainment and media14051415MiMo-V2.6-Flash
LMArena Vision: English12711269Gemma 4 31B
LMArena Vision: Chinese1326Not measuredOnly Gemma 4 31B measured
LMArena Vision: reading text12821270Gemma 4 31B
LMArena Vision: humor1280Not measuredOnly Gemma 4 31B measured
LMArena Vision: captioning1218Not measuredOnly Gemma 4 31B measured
LMArena Vision: recognizing things1226Not measuredOnly Gemma 4 31B measured
LMArena Vision: creative writing12851231Gemma 4 31B
LMArena Document1425Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 31B and MiMo-V2.6-Flash
BenchmarkGemma 4 31BMiMo-V2.6-FlashLeader
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

Gemma 4 31B$0.0003Fits in one request
MiMo-V2.6-Flash$0.0003Fits in one request

MiMo-V2.6-Flash costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

MiMo-V2.6-Flash costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

MiMo-V2.6-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 Gemma 4 31B and MiMo-V2.6-Flash
SpecificationGoogle Gemma 4 31BXiaomi MiMo-V2.6-Flash
MakerGoogleXiaomi
WeightsOpen weightsOpen weights
ReleasedApril 2, 2026September 21, 2026
Context window262K1.05M
Input $/Mtok$0.14$0.14
Output $/Mtok$0.40$0.28
Coding index39.054.7
Independent measurements behind it23
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than MiMo-V2.6-Flash for coding?

Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 39.0 for Gemma 4 31B. Pick Gemma 4 31B for work measured by LMArena Vision: diagrams or LMArena Vision: homework, where it leads.

Which is cheaper, Gemma 4 31B or MiMo-V2.6-Flash?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 31B or MiMo-V2.6-Flash?

MiMo-V2.6-Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemma 4 31B vs MiMo-V2.6-Flash comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.

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