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Gemma 4 26B A4B vs Kimi K2.5

Kimi K2.5 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 23.5 to 16.7, and Gemma 4 26B A4B costs 4.8x less per output token ($0.60 vs $2.85 per million). Updated October 22, 2026; 48 benchmarks have a result for both.

Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
8
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
40
vs boards won of 48 shared

Gemma 4 26B A4B or Kimi K2.5: which to pick

Only Kimi K2.5 has a coding score, 38.6 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.

Pick Gemma 4 26B A4B for output tokens 4.8x cheaper ($0.60 vs $2.85 per million) and work measured by ALE-Bench or LMArena Text: mathematical work, where it leads.

Shared results
48
Gemma 4 26B A4B only
7
Kimi K2.5 only
51
Like-for-like categories
7 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 26B A4B not benchmarked, Kimi K2.5 38.6 from 3 benchmarks.
Widest category
Agentic work, 52.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against Kimi K2.5 95.9%, 52.3 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against Kimi K2.5 $2.85 per million output tokens, 4.8x 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 K2.5Ties
Coding18
Intelligence02
Agentic work01
Reasoning07
Math11
Knowledge22
General419
All shared boards840
CodingLike-for-likeSix of these boards feed the Vibe Coding Index18
Coding benchmarks for Gemma 4 26B A4B and Kimi K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDev13601437Kimi K2.5
AA Coding Index39.346.8Kimi K2.5
LiveCodeBench (Vals AI)Not measured83.9%Only Kimi K2.5 measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Kimi K2.5 measured
Vibe Code Bench (Vals AI)Not measured17.5%Only Kimi K2.5 measured
Code migration (Vals AI)Not measured7.0%Only Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Kimi K2.5 measured
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%34.8%Kimi K2.5
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
WeirdML35.2%45.6%Kimi K2.5
ALE-Bench927.2821.6Gemma 4 26B A4B
LMArena Text: coding14461483Kimi K2.5
LMArena Text: software and IT14541471Kimi K2.5
LMArena WebDev: React13511429Kimi K2.5
LMArena WebDev: HTML13621426Kimi K2.5
LMArena WebDev: from an imageNot measured1439Only Kimi K2.5 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 26B A4B and Kimi K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
AA Intelligence Index16.723.5Kimi K2.5
Epoch Capabilities Index141.9148.1Kimi K2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and Kimi K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1118Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 measured
Finance Agent (Vals AI)Not measured35.8%Only Kimi K2.5 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured28.5%Only Kimi K2.5 measured
τ²-Bench Telecom43.6%95.9%Kimi K2.5
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2Not measured$1,198Only Kimi K2.5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemma 4 26B A4B and Kimi K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
GPQA DiamondNot measured84.1%Only Kimi K2.5 measured
MMMU Pro (Vals AI)Not measured84.3%Only Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)79.2%87.9%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)19.3%30.7%Kimi K2.5
GPQA Diamond (Epoch AI run)73.2%Not measuredOnly Gemma 4 26B A4B measured
ARC-AGINot measured65.3%Only Kimi K2.5 measured
ARC-AGI-2Not measured11.8%Only Kimi K2.5 measured
SimpleBenchNot measured46.8%Only Kimi K2.5 measured
LMArena Text: hard prompts14381453Kimi K2.5
LMArena Text: expert14471466Kimi K2.5
LMArena Text: hard prompts in English14481460Kimi K2.5
LMArena Vision: diagrams12641282Kimi K2.5
LMArena Vision: homework12931297Kimi K2.5
Kagi LLM BenchmarkNot measured78.5%Only Kimi K2.5 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for Gemma 4 26B A4B and Kimi K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
OTIS Mock AIME82.2%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: math14701470Kimi K2.5
LMArena Text: mathematical work14751473Gemma 4 26B A4B
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Gemma 4 26B A4B and Kimi K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
MMLU ProNot measured85.9%Only Kimi K2.5 measured
CaseLaw (Vals AI)Not measured58.7%Only Kimi K2.5 measured
CorpFin (Vals AI)Not measured68.3%Only Kimi K2.5 measured
TaxEval (Vals AI)Not measured74.2%Only Kimi K2.5 measured
MortgageTax (Vals AI)Not measured66.5%Only Kimi K2.5 measured
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)Not measured39.3%Only Kimi K2.5 measured
SimpleQA VerifiedNot measured34.3%Only Kimi K2.5 measured
LMArena Text: science14461459Kimi K2.5
LMArena Text: medicine and healthcare14281448Kimi K2.5
LMArena Text: legal and government14571441Gemma 4 26B A4B
LMArena Text: business and finance14291427Gemma 4 26B A4B
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
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 K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
Design Arena: websitesNot measured1248Only Kimi K2.5 measured
Design Arena: UI componentsNot measured1234Only Kimi K2.5 measured
Design Arena: game devNot measured1206Only Kimi K2.5 measured
Design Arena: data vizNot measured1219Only Kimi K2.5 measured
Design Arena: 3DNot measured1204Only Kimi K2.5 measured
Design Arena: all code categoriesNot measured1236Only Kimi K2.5 measured
Design Arena: SVGNot measured1149Only Kimi K2.5 measured
Design Arena: ASCII artNot measured1166Only Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index419
General benchmarks for Gemma 4 26B A4B and Kimi K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
SAGE (Vals AI)Not measured49.9%Only Kimi K2.5 measured
MedScribe (Vals AI)Not measured76.4%Only Kimi K2.5 measured
IFBench72.4%70.2%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%78.0%Kimi K2.5
DTBench74.9%Not measuredOnly Gemma 4 26B A4B measured
LMCA29.7%Not measuredOnly Gemma 4 26B A4B measured
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text14341445Kimi K2.5
LMArena Text: instruction following14201431Kimi K2.5
LMArena Text: creative writing14001422Kimi K2.5
LMArena Vision12601269Kimi K2.5
LMArena Text: English14441453Kimi K2.5
LMArena Text: non-English14211433Kimi K2.5
LMArena Text: Chinese14951494Gemma 4 26B A4B
LMArena Text: GermanNot measured1441Only Kimi K2.5 measured
LMArena Text: JapaneseNot measured1423Only Kimi K2.5 measured
LMArena Text: KoreanNot measured1412Only Kimi K2.5 measured
LMArena Text: French14601454Gemma 4 26B A4B
LMArena Text: Spanish14151450Kimi K2.5
LMArena Text: Russian14341435Kimi K2.5
LMArena Text: PolishNot measured1445Only Kimi K2.5 measured
LMArena Text: multi-turn14411444Kimi K2.5
LMArena Text: longer queries14271445Kimi K2.5
LMArena Text: writing and language14051425Kimi K2.5
LMArena Text: entertainment and media14031417Kimi K2.5
LMArena Vision: English12561274Kimi K2.5
LMArena Vision: Chinese13121328Kimi K2.5
LMArena Vision: reading text12681276Kimi K2.5
LMArena Vision: humor12721284Kimi K2.5
LMArena Vision: captioning12971257Gemma 4 26B A4B
LMArena Vision: recognizing things11911285Kimi K2.5
LMArena Vision: creative writing12561269Kimi K2.5
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 Gemma 4 26B A4B and Kimi K2.5
BenchmarkGemma 4 26B A4BKimi K2.5Leader
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$0.0004Fits in one request
Kimi K2.5$0.0020Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0093Fits in one request
Kimi K2.5$0.035Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.036Fits in one request
Kimi K2.5$0.135Fits 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 K2.5
SpecificationGoogle Gemma 4 26B A4BMoonshotAI Kimi K2.5
MakerGoogleMoonshot AI
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026January 27, 2026
Context window262K262K
Input $/Mtok$0.15$0.532
Output $/Mtok$0.60$2.85
Coding indexNot benchmarked38.6
Independent measurements behind it13
Cost per solved taskNot computable$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Kimi K2.5 for coding?

Only Kimi K2.5 has a coding score, 38.6 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 4.8x cheaper ($0.60 vs $2.85 per million) and work measured by ALE-Bench or LMArena Text: mathematical work, where it leads.

Which is cheaper, Gemma 4 26B A4B or Kimi K2.5?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Cost per solved task is known for Kimi K2.5 only.

Which has the bigger context window, Gemma 4 26B A4B or Kimi K2.5?

Neither: both take 262K tokens.

How many benchmarks is the Gemma 4 26B A4B vs Kimi K2.5 comparison based on?

48 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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