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Gemini 2.5 Pro Preview 06-05 vs Kimi K3

Updated October 21, 2026. 5 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 Pro Preview 06-05Google
Coding
83.1
Overall
No data
Output $/M
$10.00
1
Kimi K3Moonshot AI
Coding
61.8
Overall
43.6
Output $/M
$11.936
4
vs boards won of 5 shared

Decision reading

Pick Gemini 2.5 Pro Preview 06-05 for coding: it scores 83.1 on the Vibe Coding Index against 61.8 for Kimi K3, though on 1 benchmark against 2.

Pick Kimi K3 when what matters is LiveCodeBench (Vals AI) or GPQA Diamond (Artificial Analysis run), where it leads.

Shared results
5
Gemini 2.5 Pro Preview 06-05 only
9
Kimi K3 only
112
Like-for-like categories
2 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
Gemini 2.5 Pro Preview 06-05 83.1 from 1 benchmark, Kimi K3 61.8 from 2 benchmarks.
Widest category
Reasoning, 11.7 points apart on average over 4 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 19.9% against Kimi K3 46.9%, 27.0 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Kimi K3 $11.936 per million output tokens, 1.2x apart.
Context window
Both take 1.05M 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
CategoryGemini 2.5 Pro Preview 06-05BarsKimi K3Ties
Coding01
Reasoning13
All shared boards14
CodingLike-for-likeFour of these boards feed the Vibe Coding Index01
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K3Leader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
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)79.2%87.2%Kimi K3
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
LiveCodeBench (Artificial Analysis run)77.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SciCodeNot measured59.5%Only Kimi K3 measured
FrontierCodeNot measured44.2%Only Kimi K3 measured
FrontierSWENot measured25.9%Only Kimi K3 measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
WeirdMLNot measured82.6%Only Kimi K3 measured
ALE-BenchNot measured1524.5Only Kimi K3 measured
LMArena Text: codingNot measured1508Only Kimi K3 measured
LMArena Text: software and ITNot measured1499Only Kimi K3 measured
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 11 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K3Leader
AA Intelligence IndexNot measured43.6Only Kimi K3 measured
Epoch Capabilities IndexNot measured157.9Only Kimi K3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K3Leader
AA Agentic IndexNot measured50.0Only Kimi K3 measured
Design Arena: agents building web appsNot measured1296Only Kimi K3 measured
Design Arena: agents building full-stack appsNot measured1315Only Kimi K3 measured
Design Arena: agents building mobile appsNot measured1267Only 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 measured1058Only 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
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 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 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index13
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi 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)83.6%93.5%Kimi K3
Humanity's Last Exam (Artificial Analysis run)19.9%46.9%Kimi K3
GPQA Diamond (Epoch AI run)84.8%93.1%Kimi K3
ARC-AGINot measured94.5%Only Kimi K3 measured
ARC-AGI-2Not measured60.4%Only Kimi K3 measured
SimpleBench62.4%60.7%Gemini 2.5 Pro Preview 06-05
Chess puzzlesNot measured37.0%Only Kimi K3 measured
Mystery game puzzlesNot measured26.0%Only Kimi K3 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard promptsNot measured1495Only Kimi K3 measured
LMArena Text: expertNot measured1520Only Kimi K3 measured
LMArena Text: hard prompts in EnglishNot measured1496Only Kimi K3 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K3Leader
OTIS Mock AIMENot measured97.2%Only Kimi K3 measured
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
LMArena Text: mathNot measured1494Only Kimi K3 measured
LMArena Text: mathematical workNot measured1505Only Kimi K3 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K3Leader
MMLU ProNot measured88.0%Only Kimi K3 measured
LegalBench (Vals AI)Not measured86.2%Only Kimi K3 measured
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
MMLU Pro (Artificial Analysis run)85.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleQA VerifiedNot measured50.6%Only Kimi K3 measured
LMArena Text: scienceNot measured1508Only Kimi K3 measured
LMArena Text: medicine and healthcareNot measured1489Only Kimi K3 measured
LMArena Text: legal and governmentNot measured1503Only Kimi K3 measured
LMArena Text: business and financeNot measured1470Only Kimi K3 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 Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi K3Leader
Design Arena: websitesNot measured1336Only Kimi K3 measured
Design Arena: UI componentsNot measured1345Only Kimi K3 measured
Design Arena: game devNot measured1361Only 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 measured1301Only Kimi K3 measured
LiveBench designNot measured77.2%Only Kimi K3 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index29 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi 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
DTBenchNot measured91.2%Only Kimi K3 measured
LMCANot measured52.7%Only Kimi K3 measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Surface Evolver BenchNot measured95.0%Only Kimi K3 measured
Furniture assemblyNot measured34.2%Only Kimi K3 measured
LMArena TextNot measured1476Only Kimi K3 measured
LMArena Text: instruction followingNot measured1485Only Kimi K3 measured
LMArena Text: creative writingNot measured1457Only Kimi K3 measured
LMArena Text: EnglishNot measured1481Only Kimi K3 measured
LMArena Text: non-EnglishNot measured1466Only Kimi K3 measured
LMArena Text: ChineseNot measured1529Only Kimi K3 measured
LMArena Text: GermanNot measured1490Only Kimi K3 measured
LMArena Text: JapaneseNot measured1494Only Kimi K3 measured
LMArena Text: KoreanNot measured1460Only Kimi K3 measured
LMArena Text: FrenchNot measured1492Only Kimi K3 measured
LMArena Text: SpanishNot measured1472Only Kimi K3 measured
LMArena Text: RussianNot measured1485Only Kimi K3 measured
LMArena Text: PolishNot measured1458Only Kimi K3 measured
LMArena Text: multi-turnNot measured1489Only Kimi K3 measured
LMArena Text: longer queriesNot measured1494Only Kimi K3 measured
LMArena Text: writing and languageNot measured1471Only Kimi K3 measured
LMArena Text: entertainment and mediaNot measured1453Only Kimi K3 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro Preview 06-05 and Kimi K3
BenchmarkGemini 2.5 Pro Preview 06-05Kimi 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

Gemini 2.5 Pro Preview 06-05$0.0063Fits in one request
Kimi K3$0.0062Fits in one request

Kimi K3 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Kimi K3$0.048Fits in one request

Kimi K3 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Kimi K3$0.167Fits in one request

Kimi K3 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 Gemini 2.5 Pro Preview 06-05 and Kimi K3
SpecificationGoogle Gemini 2.5 Pro Preview 06-05MoonshotAI Kimi K3
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedJune 5, 2025July 16, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.239
Output $/Mtok$10.00$11.936
Coding index83.161.8
Independent measurements behind it12
Cost per solved taskNot computable$0.81
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Kimi K3 for coding?

Pick Gemini 2.5 Pro Preview 06-05 for coding: it scores 83.1 on the Vibe Coding Index against 61.8 for Kimi K3, though on 1 benchmark against 2. Pick Kimi K3 when what matters is LiveCodeBench (Vals AI) or GPQA Diamond (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Kimi K3?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Kimi K3 costs $0.239 and $11.936. Cost per solved task is known for Kimi K3 only.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Kimi K3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Kimi K3 comparison based on?

5 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 1 independent benchmark and Kimi K3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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