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Gemma 4 26B A4B vs Kimi K2 0711

Updated October 21, 2026. 9 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
7
Kimi K2 0711Moonshot AI
Coding
64.7
Overall
12.7
Output $/M
$2.30
2
vs boards won of 9 shared

Decision reading

Pick Kimi K2 0711 for coding: it scores 64.7 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B.

Pick Gemma 4 26B A4B when output tokens cost 9.0x less, or when the context window is larger, 262K against 131K tokens.

Shared results
9
Gemma 4 26B A4B only
45
Kimi K2 0711 only
27
Like-for-like categories
5 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 0711 64.7 from 2 benchmarks.
Widest category
General, 21.8 points apart on average over 2 shared benchmarks.
Widest single gap
IFBench: Gemma 4 26B A4B 72.4% against Kimi K2 0711 41.5%, 31.0 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.255 against Kimi K2 0711 $2.30 per million output tokens, 9.0x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, Kimi K2 0711 131K.

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 0711Ties
Coding11
Intelligence20
Agentic work01
Reasoning20
General20
All shared boards72
CodingLike-for-likeFour of these boards feed the Vibe Coding Index11
Coding benchmarks for Gemma 4 26B A4B and Kimi K2 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
Aider polyglotNot measured59.1%Only Kimi K2 0711 measured
SWE-bench VerifiedNot measured71.2%Only Kimi K2 0711 measured
LMArena WebDev1360Not measuredOnly Gemma 4 26B A4B measured
AA Coding Index39.3Not measuredOnly Gemma 4 26B A4B measured
LiveCodeBench (Vals AI)Not measured70.5%Only Kimi K2 0711 measured
LiveCodeBench (Artificial Analysis run)Not measured55.6%Only Kimi K2 0711 measured
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%15.9%Gemma 4 26B A4B
Terminal-BenchNot measured27.8%Only Kimi K2 0711 measured
GSO-BenchNot measured4.9%Only Kimi K2 0711 measured
WeirdML35.2%39.4%Kimi K2 0711
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding1446Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: software and IT1454Not measuredOnly Gemma 4 26B A4B measured
LMArena WebDev: React1351Not measuredOnly Gemma 4 26B A4B measured
LMArena WebDev: HTML1362Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemma 4 26B A4B and Kimi K2 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
AA Intelligence Index16.712.7Gemma 4 26B A4B
Epoch Capabilities Index141.9140.0Gemma 4 26B A4B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and Kimi K2 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
τ²-Bench Telecom43.6%61.1%Kimi K2 0711
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemma 4 26B A4B and Kimi K2 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
GPQA DiamondNot measured71.5%Only Kimi K2 0711 measured
GPQA Diamond (Artificial Analysis run)79.2%76.6%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)19.3%7.4%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)73.2%Not measuredOnly Gemma 4 26B A4B measured
SimpleBenchNot measured26.3%Only Kimi K2 0711 measured
LMArena Text: hard prompts1438Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: expert1447Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: hard prompts in English1448Not measuredOnly Gemma 4 26B A4B measured
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 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for Gemma 4 26B A4B and Kimi K2 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
AIMENot measured62.7%Only Kimi K2 0711 measured
MATH 500 (Vals AI)Not measured94.2%Only Kimi K2 0711 measured
MGSM (Vals AI)Not measured91.0%Only Kimi K2 0711 measured
AA Math IndexNot measured57.0Only Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)Not measured57.0%Only Kimi K2 0711 measured
OTIS Mock AIME82.2%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: math1470Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: mathematical work1475Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for Gemma 4 26B A4B and Kimi K2 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
MMLU ProNot measured79.4%Only Kimi K2 0711 measured
LegalBench (Vals AI)Not measured81.5%Only Kimi K2 0711 measured
CorpFin (Vals AI)Not measured50.4%Only Kimi K2 0711 measured
TaxEval (Vals AI)Not measured70.2%Only Kimi K2 0711 measured
MedQA (Vals AI)Not measured84.0%Only Kimi K2 0711 measured
MMLU Pro (Artificial Analysis run)Not measured82.4%Only Kimi K2 0711 measured
LMArena Text: science1446Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: medicine and healthcare1428Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: legal and government1457Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: business and finance1429Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and Kimi K2 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
Design Arena: websitesNot measured1050Only Kimi K2 0711 measured
Design Arena: UI componentsNot measured1030Only Kimi K2 0711 measured
Design Arena: game devNot measured974Only Kimi K2 0711 measured
Design Arena: data vizNot measured1018Only Kimi K2 0711 measured
Design Arena: all code categoriesNot measured1034Only Kimi K2 0711 measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Gemma 4 26B A4B and Kimi K2 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
IFBench72.4%41.5%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%53.0%Gemma 4 26B A4B
DTBench74.9%Not measuredOnly Gemma 4 26B A4B measured
LMCA29.7%Not measuredOnly Gemma 4 26B A4B measured
Fiction.LiveBenchNot measured61.1%Only Kimi K2 0711 measured
Creative writing (Lech Mazur)Not measured85.6%Only Kimi K2 0711 measured
CL-benchNot measured11.9%Only Kimi K2 0711 measured
LMArena Text1434Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: instruction following1420Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: creative writing1400Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision1260Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: English1444Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: non-English1421Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: Chinese1495Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: French1460Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: Spanish1415Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: Russian1434Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: multi-turn1441Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: longer queries1427Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: writing and language1405Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: entertainment and media1403Not measuredOnly Gemma 4 26B A4B measured
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 18 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 0711
BenchmarkGemma 4 26B A4BKimi K2 0711Leader
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 0711$0.0017Fits 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 0711$0.035Fits 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 0711$0.137Exceeds the context window

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 0711
SpecificationGoogle Gemma 4 26B A4BMoonshotAI Kimi K2 0711
MakerGoogleMoonshot AI
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026July 11, 2025
Context window262K131K
Input $/Mtok$0.0765$0.57
Output $/Mtok$0.255$2.30
Coding index22.864.7
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Kimi K2 0711 for coding?

Pick Kimi K2 0711 for coding: it scores 64.7 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when output tokens cost 9.0x less, or when the context window is larger, 262K against 131K tokens.

Which is cheaper, Gemma 4 26B A4B or Kimi K2 0711?

Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 26B A4B or Kimi K2 0711?

Gemma 4 26B A4B, with 262K tokens against 131K.

How many benchmarks is the Gemma 4 26B A4B vs Kimi K2 0711 comparison based on?

9 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 0711's on 2. Where only one model has a result, the page says so instead of naming a winner.

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