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Gemma 2 27B vs Kimi K3

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemma 2 27BGoogle
Coding
No data
Overall
No data
Output $/M
$0.65
0
Kimi K3Moonshot AI
Coding
62.3
Overall
43.6
Output $/M
$15.00
34
vs boards won of 34 shared

Decision reading

Only Kimi K3 has a coding score, 62.3 on the Vibe Coding Index; Gemma 2 27B has none, so the two cannot be ranked on coding.

Gemma 2 27B has the edge where output tokens cost 23.1x less.

Shared results
34
Gemma 2 27B only
2
Kimi K3 only
83
Like-for-like categories
6 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 2 27B not benchmarked, Kimi K3 62.3 from 6 benchmarks.
Widest category
Math, 63.4 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Gemma 2 27B 1.4% against Kimi K3 97.2%, 95.8 points apart on a 0 to 100 scale.
Output price
Gemma 2 27B $0.65 against Kimi K3 $15.00 per million output tokens, 23.1x apart.
Context window
Gemma 2 27B takes 8K tokens, Kimi K3 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 2 27BBarsKimi K3Ties
Coding02
Intelligence01
Reasoning04
Math03
Knowledge05
General019
All shared boards034
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemma 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
LiveBench codingNot measured59.3%Only Kimi K3 measured
LMArena WebDevNot measured1655Only Kimi K3 measured
AA Coding IndexNot measured76.2Only Kimi K3 measured
LiveCodeBench (Vals AI)Not measured87.2%Only Kimi K3 measured
SWE-bench Verified (Vals AI)Not measured93.4%Only Kimi K3 measured
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Kimi K3 measured
Vibe Code Bench (Vals AI)Not measured85.0%Only Kimi K3 measured
Code migration (Vals AI)Not measured16.1%Only Kimi K3 measured
ProgramBench (Vals AI)Not measured2.0%Only Kimi K3 measured
IOI (Vals AI)Not measured48.9%Only Kimi K3 measured
Terminal-Bench 2.1 (Vals AI)Not measured80.9%Only Kimi K3 measured
SWE-bench Multimodal (Vals AI)Not measured44.2%Only Kimi K3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured18.2%Only Kimi K3 measured
CyberBench (Vals AI)Not measured75.2%Only Kimi K3 measured
SciCodeNot measured59.5%Only Kimi K3 measured
FrontierCodeNot measured44.2%Only Kimi K3 measured
FrontierSWENot measured25.9%Only Kimi K3 measured
WeirdMLNot measured82.6%Only Kimi K3 measured
ALE-BenchNot measured1524.5Only Kimi K3 measured
LMArena Text: coding12111508Kimi K3
LMArena Text: software and IT12281499Kimi K3
LMArena WebDev: ReactNot measured1670Only Kimi K3 measured
LMArena WebDev: HTMLNot measured1644Only Kimi K3 measured
LMArena WebDev: from an imageNot measured1579Only Kimi K3 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
AA Intelligence IndexNot measured43.6Only Kimi K3 measured
Epoch Capabilities Index122.1157.9Kimi K3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index24 boards, none shared
Agentic work benchmarks for Gemma 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
AA Agentic IndexNot measured50.0Only Kimi K3 measured
Design Arena: agents building web appsNot measured1295Only Kimi K3 measured
Design Arena: agents building full-stack appsNot measured1315Only Kimi K3 measured
Design Arena: agents building mobile appsNot measured1268Only Kimi K3 measured
Design Arena: agents building Android appsNot measured1256Only Kimi K3 measured
Design Arena: agents building Godot gamesNot measured1223Only Kimi K3 measured
Design Arena: agents building gamesNot measured1252Only Kimi K3 measured
Design Arena: HTML slidesNot measured1256Only Kimi K3 measured
Design Arena: PowerPoint slidesNot measured1273Only Kimi K3 measured
Design Arena: spreadsheetsNot measured1054Only Kimi K3 measured
LiveBench researchNot measured79.0%Only Kimi K3 measured
LiveBench browserNot measured16.0%Only Kimi K3 measured
LiveBench long agenticNot measured42.8%Only Kimi K3 measured
Finance Agent (Vals AI)Not measured53.1%Only Kimi K3 measured
Tax Agent Bench (Vals AI)Not measured33.4%Only Kimi K3 measured
Legal Research Bench (Vals AI)Not measured46.1%Only Kimi K3 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.9%Only Kimi K3 measured
Excel Modeling Benchmark (Vals AI)Not measured66.7%Only Kimi K3 measured
BioMysteryBench (Vals AI)Not measured72.6%Only Kimi K3 measured
Terminal-Bench-Science (Vals AI)Not measured1.4%Only Kimi K3 measured
Time Horizon Index (Vals AI)Not measured10.5%Only Kimi K3 measured
APEX-AgentsNot measured47.8%Only Kimi K3 measured
PostTrainBenchNot measured32.0%Only Kimi K3 measured
Vending-Bench 2Not measured$5,165Only Kimi K3 measured
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Gemma 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
GPQA DiamondNot measured92.9%Only Kimi K3 measured
LiveBench reasoningNot measured90.7%Only Kimi K3 measured
MMMU Pro (Vals AI)Not measured88.2%Only Kimi K3 measured
GPQA Diamond (Artificial Analysis run)Not measured93.5%Only Kimi K3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured46.9%Only Kimi K3 measured
GPQA Diamond (Epoch AI run)36.5%93.1%Kimi K3
ARC-AGINot measured94.5%Only Kimi K3 measured
ARC-AGI-2Not measured60.4%Only Kimi K3 measured
SimpleBenchNot measured60.7%Only Kimi K3 measured
Chess puzzlesNot measured37.0%Only Kimi K3 measured
Mystery game puzzlesNot measured26.0%Only Kimi K3 measured
LMArena Text: hard prompts11981495Kimi K3
LMArena Text: expert11711520Kimi K3
LMArena Text: hard prompts in English12061496Kimi K3
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemma 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
OTIS Mock AIME1.4%97.2%Kimi K3
FrontierMath, tiers 1 to 3Not measured72.2%Only Kimi K3 measured
FrontierMath, tier 4Not measured39.0%Only Kimi K3 measured
ProofBenchNot measured87.0%Only Kimi K3 measured
MATH level 527.9%Not measuredOnly Gemma 2 27B measured
LMArena Text: math12121494Kimi K3
LMArena Text: mathematical work12211505Kimi K3
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Gemma 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
MMLU ProNot measured88.0%Only Kimi K3 measured
LegalBench (Vals AI)68.0%86.2%Kimi K3
CorpFin (Vals AI)Not measured71.6%Only Kimi K3 measured
TaxEval (Vals AI)Not measured75.7%Only Kimi K3 measured
MortgageTax (Vals AI)Not measured66.3%Only Kimi K3 measured
MedCode (Vals AI)Not measured49.4%Only Kimi K3 measured
SimpleQA VerifiedNot measured50.6%Only Kimi K3 measured
MMLU75.7%Not measuredOnly Gemma 2 27B measured
LMArena Text: science12281508Kimi K3
LMArena Text: medicine and healthcare11981489Kimi K3
LMArena Text: legal and government12411503Kimi K3
LMArena Text: business and finance12081470Kimi K3
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 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
Design Arena: websitesNot measured1335Only Kimi K3 measured
Design Arena: UI componentsNot measured1344Only Kimi K3 measured
Design Arena: game devNot measured1360Only Kimi K3 measured
Design Arena: data vizNot measured1350Only Kimi K3 measured
Design Arena: 3DNot measured1388Only Kimi K3 measured
Design Arena: all code categoriesNot measured1361Only Kimi K3 measured
Design Arena: SVGNot measured1302Only Kimi K3 measured
LiveBench designNot measured77.2%Only Kimi K3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Gemma 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
Vals IndexNot measured53.0%Only Kimi K3 measured
LiveBench data analysisNot measured78.7%Only Kimi K3 measured
Public Benefits Bench (Vals AI)Not measured68.2%Only Kimi K3 measured
SAGE (Vals AI)Not measured52.8%Only Kimi K3 measured
MedScribe (Vals AI)Not measured88.0%Only Kimi K3 measured
Vals Multimodal IndexNot measured73.4%Only Kimi K3 measured
Long context reasoning (AA-LCR)Not measured88.7%Only Kimi K3 measured
DTBench48.0%91.2%Kimi K3
LMCA7.1%52.7%Kimi K3
Surface Evolver BenchNot measured95.0%Only Kimi K3 measured
Furniture assemblyNot measured34.2%Only Kimi K3 measured
LMArena Text12311476Kimi K3
LMArena Text: instruction following12061485Kimi K3
LMArena Text: creative writing12401457Kimi K3
LMArena Text: English12421481Kimi K3
LMArena Text: non-English12171466Kimi K3
LMArena Text: Chinese12211529Kimi K3
LMArena Text: German12091490Kimi K3
LMArena Text: Japanese11751494Kimi K3
LMArena Text: Korean11741460Kimi K3
LMArena Text: French12481492Kimi K3
LMArena Text: Spanish12281472Kimi K3
LMArena Text: Russian12341485Kimi K3
LMArena Text: Polish12771458Kimi K3
LMArena Text: multi-turn12241489Kimi K3
LMArena Text: longer queries12301494Kimi K3
LMArena Text: writing and language12491471Kimi K3
LMArena Text: entertainment and media12121453Kimi K3
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 2 27B and Kimi K3
BenchmarkGemma 2 27BKimi K3Leader
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 2 27B$0.0010Fits in one request
Kimi K3$0.011Fits in one request

Gemma 2 27B costs less

Repository review

50K input + 3K output tokens

Gemma 2 27B$0.034Exceeds the context window
Kimi K3$0.195Fits in one request

Gemma 2 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 2 27B$0.137Exceeds the context window
Kimi K3$0.750Fits in one request

Gemma 2 27B 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 2 27B and Kimi K3
SpecificationGoogle Gemma 2 27BMoonshotAI Kimi K3
MakerGoogleMoonshot AI
WeightsOpen weightsOpen weights
ReleasedJuly 13, 2024July 16, 2026
Context window8K1.05M
Input $/Mtok$0.65$3.00
Output $/Mtok$0.65$15.00
Coding indexNot benchmarked62.3
Independent measurements behind it06
Cost per solved taskNot computable$0.81
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 2 27B better than Kimi K3 for coding?

Only Kimi K3 has a coding score, 62.3 on the Vibe Coding Index; Gemma 2 27B has none, so the two cannot be ranked on coding. Gemma 2 27B has the edge where output tokens cost 23.1x less.

Which is cheaper, Gemma 2 27B or Kimi K3?

Gemma 2 27B costs $0.65 per million input tokens and $0.65 per million output tokens; Kimi K3 costs $3.00 and $15.00. Cost per solved task is known for Kimi K3 only.

Which has the bigger context window, Gemma 2 27B or Kimi K3?

Kimi K3, with 1.05M tokens against 8K.

How many benchmarks is the Gemma 2 27B vs Kimi K3 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. Gemma 2 27B's coding index rests on 0 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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