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Gemma 4 26B A4B vs MiMo-V2.5-Pro

Updated October 21, 2026. 40 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemma 4 26B A4B Replace MiMo-V2.5-Pro
Gemma 4 26B A4BGoogle
Coding
22.8
Overall
16.7
Output $/M
$0.255
2
MiMo-V2.5-ProXiaomi
Coding
40.0
Overall
26.0
Output $/M
$0.609
38
vs boards won of 40 shared

Decision reading

Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B.

Pick Gemma 4 26B A4B when output tokens cost 2.4x less, or when what matters is ALE-Bench or LMCA, where it leads.

Model AGemma 4 26B A4BGoogle22.8/1001 independent benchmarkNo cost per solved taskModel BMiMo-V2.5-ProXiaomi40.0/1001 independent benchmark$0.03 per solved task
Shared results
40
Gemma 4 26B A4B only
14
MiMo-V2.5-Pro only
30
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
Gemma 4 26B A4B 22.8 from 1 benchmark, MiMo-V2.5-Pro 40.0 from 1 benchmark.
Widest category
Agentic work, 34.5 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against MiMo-V2.5-Pro 94.2%, 50.6 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.255 against MiMo-V2.5-Pro $0.609 per million output tokens, 2.4x apart.
Context window
Gemma 4 26B A4B takes 262K 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
CategoryGemma 4 26B A4BBarsMiMo-V2.5-ProTies
Coding18
Intelligence01
Agentic work02
Reasoning05
Math02
Knowledge04
General116
All shared boards238
CodingLike-for-likeFour of these boards feed the Vibe Coding Index18
Coding benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-V2.5-ProLeader
LMArena WebDev13601480MiMo-V2.5-Pro
AA Coding Index39.360.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)Not measured81.3%Only MiMo-V2.5-Pro measured
SWE-bench Verified (Vals AI)Not measured74.0%Only MiMo-V2.5-Pro measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)Not measured34.1%Only MiMo-V2.5-Pro measured
Code migration (Vals AI)Not measured21.6%Only MiMo-V2.5-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only MiMo-V2.5-Pro measured
SciCode40.0%50.6%MiMo-V2.5-Pro
Terminal-Bench Hard (Artificial Analysis run)25.0%43.2%MiMo-V2.5-Pro
WeirdML35.2%Not measuredOnly Gemma 4 26B A4B measured
ALE-Bench927.2899.8Gemma 4 26B A4B
LMArena Text: coding14461501MiMo-V2.5-Pro
LMArena Text: software and IT14541495MiMo-V2.5-Pro
LMArena WebDev: React13511469MiMo-V2.5-Pro
LMArena WebDev: HTML13621473MiMo-V2.5-Pro
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-V2.5-ProLeader
AA Intelligence Index16.726.0MiMo-V2.5-Pro
Epoch Capabilities Index141.9Not measuredOnly Gemma 4 26B A4B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-V2.5-ProLeader
AA Agentic Index2.921.3MiMo-V2.5-Pro
Finance Agent (Vals AI)Not measured41.5%Only MiMo-V2.5-Pro measured
Tax Agent Bench (Vals AI)Not measured11.5%Only MiMo-V2.5-Pro measured
Legal Research Bench (Vals AI)Not measured15.9%Only MiMo-V2.5-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured55.2%Only MiMo-V2.5-Pro measured
τ²-Bench Telecom43.6%94.2%MiMo-V2.5-Pro
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)79.2%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)19.3%35.7%MiMo-V2.5-Pro
GPQA Diamond (Epoch AI run)73.2%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: hard prompts14381486MiMo-V2.5-Pro
LMArena Text: expert14471501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14481494MiMo-V2.5-Pro
LMArena Vision: diagrams1264Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: homework1293Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-V2.5-ProLeader
OTIS Mock AIME82.2%Not measuredOnly Gemma 4 26B A4B measured
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math14701481MiMo-V2.5-Pro
LMArena Text: mathematical work14751491MiMo-V2.5-Pro
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-V2.5-ProLeader
MMLU ProNot measured84.6%Only MiMo-V2.5-Pro measured
LegalBench (Vals AI)Not measured77.1%Only MiMo-V2.5-Pro measured
CorpFin (Vals AI)Not measured61.4%Only MiMo-V2.5-Pro measured
TaxEval (Vals AI)Not measured73.8%Only MiMo-V2.5-Pro measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
LMArena Text: science14461482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14281473MiMo-V2.5-Pro
LMArena Text: legal and government14571474MiMo-V2.5-Pro
LMArena Text: business and finance14291466MiMo-V2.5-Pro
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-V2.5-ProLeader
Design Arena: websitesNot measured1267Only MiMo-V2.5-Pro measured
Design Arena: UI componentsNot measured1248Only MiMo-V2.5-Pro measured
Design Arena: game devNot measured1261Only MiMo-V2.5-Pro measured
Design Arena: data vizNot measured1257Only MiMo-V2.5-Pro measured
Design Arena: 3DNot measured1244Only MiMo-V2.5-Pro measured
Design Arena: all code categoriesNot measured1266Only MiMo-V2.5-Pro measured
Design Arena: SVGNot measured1181Only MiMo-V2.5-Pro measured
Design Arena: ASCII artNot measured1157Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index116
General benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench72.4%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)65.7%79.7%MiMo-V2.5-Pro
DTBench74.9%84.5%MiMo-V2.5-Pro
LMCA29.7%29.5%Gemma 4 26B A4B
LMArena Text14341464MiMo-V2.5-Pro
LMArena Text: instruction following14201475MiMo-V2.5-Pro
LMArena Text: creative writing14001438MiMo-V2.5-Pro
LMArena Vision1260Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: English14441477MiMo-V2.5-Pro
LMArena Text: non-English14211448MiMo-V2.5-Pro
LMArena Text: Chinese14951507MiMo-V2.5-Pro
LMArena Text: GermanNot measured1459Only MiMo-V2.5-Pro measured
LMArena Text: JapaneseNot measured1410Only MiMo-V2.5-Pro measured
LMArena Text: KoreanNot measured1435Only MiMo-V2.5-Pro measured
LMArena Text: French14601487MiMo-V2.5-Pro
LMArena Text: Spanish14151469MiMo-V2.5-Pro
LMArena Text: Russian14341449MiMo-V2.5-Pro
LMArena Text: PolishNot measured1464Only MiMo-V2.5-Pro measured
LMArena Text: multi-turn14411476MiMo-V2.5-Pro
LMArena Text: longer queries14271481MiMo-V2.5-Pro
LMArena Text: writing and language14051451MiMo-V2.5-Pro
LMArena Text: entertainment and media14031438MiMo-V2.5-Pro
LMArena Vision: English1256Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: Chinese1312Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: reading text1268Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: humor1272Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing1256Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 26B A4B and MiMo-V2.5-Pro
BenchmarkGemma 4 26B A4BMiMo-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

Gemma 4 26B A4B$0.0002Fits in one request
MiMo-V2.5-Pro$0.0006Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0046Fits in one request
MiMo-V2.5-Pro$0.017Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.018Fits in one request
MiMo-V2.5-Pro$0.067Fits in one request

Gemma 4 26B A4B 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 26B A4B and MiMo-V2.5-Pro
SpecificationGoogle Gemma 4 26B A4BXiaomi MiMo-V2.5-Pro
MakerGoogleXiaomi
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026April 22, 2026
Context window262K1.05M
Input $/Mtok$0.0765$0.3045
Output $/Mtok$0.255$0.609
Coding index22.840.0
Independent measurements behind it11
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than MiMo-V2.5-Pro for coding?

Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when output tokens cost 2.4x less, or when what matters is ALE-Bench or LMCA, where it leads.

Which is cheaper, Gemma 4 26B A4B or MiMo-V2.5-Pro?

Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; MiMo-V2.5-Pro costs $0.3045 and $0.609. Cost per solved task is known for MiMo-V2.5-Pro only.

Which has the bigger context window, Gemma 4 26B A4B or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs MiMo-V2.5-Pro comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and MiMo-V2.5-Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.

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