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Gemma 4 26B A4B vs Kimi K2.6

Updated October 21, 2026. 52 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemma 4 26B A4BGoogle
Coding
22.8
Overall
16.7
Output $/M
$0.255
0
Kimi K2.6Moonshot AI
Coding
44.2
Overall
27.0
Output $/M
$3.41
52
vs boards won of 52 shared

Decision reading

Pick Kimi K2.6 for coding: it scores 44.2 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B.

Pick Gemma 4 26B A4B when output tokens cost 13.4x less.

Shared results
52
Gemma 4 26B A4B only
2
Kimi K2.6 only
57
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, Kimi K2.6 44.2 from 1 benchmark.
Widest category
Agentic work, 35.0 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against Kimi K2.6 95.9%, 52.3 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.255 against Kimi K2.6 $3.41 per million output tokens, 13.4x apart.
Context window
Both take 262K tokens.

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 A4BBarsKimi K2.6Ties
Coding010
Intelligence02
Agentic work02
Reasoning08
Math03
Knowledge04
General023
All shared boards052
CodingLike-for-likeFour of these boards feed the Vibe Coding Index010
Coding benchmarks for Gemma 4 26B A4B and Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
LMArena WebDev13601509Kimi K2.6
AA Coding Index39.361.8Kimi K2.6
LiveCodeBench (Vals AI)Not measured86.8%Only Kimi K2.6 measured
SWE-bench Verified (Vals AI)Not measured76.2%Only Kimi K2.6 measured
Vibe Code Bench (Vals AI)Not measured37.9%Only Kimi K2.6 measured
Code migration (Vals AI)Not measured27.8%Only Kimi K2.6 measured
ProgramBench (Vals AI)Not measured0.0%Only Kimi K2.6 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only Kimi K2.6 measured
SciCode40.0%51.5%Kimi K2.6
Terminal-Bench Hard (Artificial Analysis run)25.0%43.9%Kimi K2.6
WeirdML35.2%55.9%Kimi K2.6
ALE-Bench927.21092.7Kimi K2.6
LMArena Text: coding14461489Kimi K2.6
LMArena Text: software and IT14541484Kimi K2.6
LMArena WebDev: React13511505Kimi K2.6
LMArena WebDev: HTML13621485Kimi K2.6
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 26B A4B and Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
AA Intelligence Index16.727.0Kimi K2.6
Epoch Capabilities Index141.9150.9Kimi K2.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 4 26B A4B and Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
AA Agentic Index2.920.5Kimi K2.6
Design Arena: agents building web appsNot measured1268Only Kimi K2.6 measured
Design Arena: agents building full-stack appsNot measured1155Only Kimi K2.6 measured
Design Arena: agents building mobile appsNot measured1156Only Kimi K2.6 measured
Design Arena: agents building Android appsNot measured1166Only Kimi K2.6 measured
Design Arena: agents building Godot gamesNot measured1120Only Kimi K2.6 measured
Design Arena: agents building gamesNot measured1141Only Kimi K2.6 measured
Design Arena: HTML slidesNot measured1184Only Kimi K2.6 measured
Design Arena: PowerPoint slidesNot measured1128Only Kimi K2.6 measured
Design Arena: spreadsheetsNot measured1276Only Kimi K2.6 measured
Finance Agent (Vals AI)Not measured44.9%Only Kimi K2.6 measured
Tax Agent Bench (Vals AI)Not measured12.4%Only Kimi K2.6 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.6 measured
Excel Modeling Benchmark (Vals AI)Not measured57.9%Only Kimi K2.6 measured
τ²-Bench Telecom43.6%95.9%Kimi K2.6
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
Vending-Bench 2Not measured$6,205Only Kimi K2.6 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Gemma 4 26B A4B and Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
GPQA DiamondNot measured89.1%Only Kimi K2.6 measured
MMMU Pro (Vals AI)Not measured86.3%Only Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)79.2%91.1%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)19.3%37.5%Kimi K2.6
GPQA Diamond (Epoch AI run)73.2%90.8%Kimi K2.6
Chess puzzlesNot measured20.0%Only Kimi K2.6 measured
Mystery game puzzlesNot measured18.0%Only Kimi K2.6 measured
EBR-benchNot measured2.4%Only Kimi K2.6 measured
LMArena Text: hard prompts14381470Kimi K2.6
LMArena Text: expert14471491Kimi K2.6
LMArena Text: hard prompts in English14481471Kimi K2.6
LMArena Vision: diagrams12641298Kimi K2.6
LMArena Vision: homework12931310Kimi K2.6
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemma 4 26B A4B and Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
OTIS Mock AIME82.2%96.1%Kimi K2.6
FrontierMath, tiers 1 to 3Not measured57.2%Only Kimi K2.6 measured
FrontierMath, tier 4Not measured25.6%Only Kimi K2.6 measured
ProofBenchNot measured16.0%Only Kimi K2.6 measured
LMArena Text: math14701474Kimi K2.6
LMArena Text: mathematical work14751480Kimi K2.6
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 4 26B A4B and Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
MMLU ProNot measured87.6%Only Kimi K2.6 measured
LegalBench (Vals AI)Not measured84.7%Only Kimi K2.6 measured
CaseLaw (Vals AI)Not measured61.2%Only Kimi K2.6 measured
CorpFin (Vals AI)Not measured66.7%Only Kimi K2.6 measured
TaxEval (Vals AI)Not measured74.7%Only Kimi K2.6 measured
MortgageTax (Vals AI)Not measured65.8%Only Kimi K2.6 measured
MedCode (Vals AI)Not measured40.1%Only Kimi K2.6 measured
SimpleQA VerifiedNot measured34.9%Only Kimi K2.6 measured
LMArena Text: science14461468Kimi K2.6
LMArena Text: medicine and healthcare14281457Kimi K2.6
LMArena Text: legal and government14571462Kimi K2.6
LMArena Text: business and finance14291445Kimi K2.6
Neither model has a result on the other 5 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 Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
Design Arena: websitesNot measured1269Only Kimi K2.6 measured
Design Arena: UI componentsNot measured1266Only Kimi K2.6 measured
Design Arena: game devNot measured1251Only Kimi K2.6 measured
Design Arena: data vizNot measured1249Only Kimi K2.6 measured
Design Arena: 3DNot measured1268Only Kimi K2.6 measured
Design Arena: all code categoriesNot measured1272Only Kimi K2.6 measured
Design Arena: SVGNot measured1181Only Kimi K2.6 measured
Design Arena: ASCII artNot measured1164Only Kimi K2.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index023
General benchmarks for Gemma 4 26B A4B and Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
Public Benefits Bench (Vals AI)Not measured56.6%Only Kimi K2.6 measured
SAGE (Vals AI)Not measured50.2%Only Kimi K2.6 measured
MedScribe (Vals AI)Not measured78.2%Only Kimi K2.6 measured
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBench72.4%76.0%Kimi K2.6
Long context reasoning (AA-LCR)65.7%81.0%Kimi K2.6
DTBench74.9%90.9%Kimi K2.6
LMCA29.7%37.3%Kimi K2.6
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text14341455Kimi K2.6
LMArena Text: instruction following14201451Kimi K2.6
LMArena Text: creative writing14001434Kimi K2.6
LMArena Vision12601282Kimi K2.6
LMArena Text: English14441460Kimi K2.6
LMArena Text: non-English14211446Kimi K2.6
LMArena Text: Chinese14951520Kimi K2.6
LMArena Text: GermanNot measured1451Only Kimi K2.6 measured
LMArena Text: JapaneseNot measured1443Only Kimi K2.6 measured
LMArena Text: KoreanNot measured1427Only Kimi K2.6 measured
LMArena Text: French14601471Kimi K2.6
LMArena Text: Spanish14151464Kimi K2.6
LMArena Text: Russian14341446Kimi K2.6
LMArena Text: PolishNot measured1438Only Kimi K2.6 measured
LMArena Text: multi-turn14411453Kimi K2.6
LMArena Text: longer queries14271468Kimi K2.6
LMArena Text: writing and language14051439Kimi K2.6
LMArena Text: entertainment and media14031428Kimi K2.6
LMArena Vision: English12561287Kimi K2.6
LMArena Vision: Chinese13121346Kimi K2.6
LMArena Vision: reading text12681291Kimi K2.6
LMArena Vision: humor12721280Kimi K2.6
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing12561273Kimi K2.6
LMArena DocumentNot measured1451Only Kimi K2.6 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 26B A4B and Kimi K2.6
BenchmarkGemma 4 26B A4BKimi K2.6Leader
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
Kimi K2.6$0.0024Fits 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
Kimi K2.6$0.043Fits 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
Kimi K2.6$0.164Fits 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 Kimi K2.6
SpecificationGoogle Gemma 4 26B A4BMoonshotAI Kimi K2.6
MakerGoogleMoonshot AI
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026April 20, 2026
Context window262K262K
Input $/Mtok$0.0765$0.65
Output $/Mtok$0.255$3.41
Coding index22.844.2
Independent measurements behind it11
Cost per solved taskNot computable$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Kimi K2.6 for coding?

Pick Kimi K2.6 for coding: it scores 44.2 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when output tokens cost 13.4x less.

Which is cheaper, Gemma 4 26B A4B or Kimi K2.6?

Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; Kimi K2.6 costs $0.65 and $3.41. Cost per solved task is known for Kimi K2.6 only.

Which has the bigger context window, Gemma 4 26B A4B or Kimi K2.6?

Neither: both take 262K tokens.

How many benchmarks is the Gemma 4 26B A4B vs Kimi K2.6 comparison based on?

52 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 Kimi K2.6's on 1. Where only one model has a result, the page says so instead of naming a winner.

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