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Gemini 4 Argon vs Kimi K2.6

Updated October 21, 2026. 65 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 4 ArgonGoogle
Coding
80.5
Overall
52.6
Output $/M
$10.00
63
Kimi K2.6Moonshot AI
Coding
44.2
Overall
27.0
Output $/M
$3.41
2
vs boards won of 65 shared

Decision reading

Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 44.2 for Kimi K2.6.

Pick Kimi K2.6 when output tokens cost 2.9x less, or when what matters is Design Arena: spreadsheets or Long context reasoning (AA-LCR), where it leads.

Shared results
65
Gemini 4 Argon only
27
Kimi K2.6 only
44
Like-for-like categories
8 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 4 Argon 80.5 from 2 benchmarks, Kimi K2.6 44.2 from 1 benchmark.
Widest category
Math, 31.9 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: Gemini 4 Argon 99.0% against Kimi K2.6 16.0%, 83.0 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against Kimi K2.6 $3.41 per million output tokens, 2.9x apart.
Context window
Gemini 4 Argon takes 1.05M tokens, Kimi K2.6 262K.

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 4 ArgonBarsKimi K2.6Ties
Coding110
Intelligence20
Agentic work51
Reasoning80
Math60
Knowledge70
Web design60
General181
All shared boards632
CodingLike-for-likeFour of these boards feed the Vibe Coding Index110
Coding benchmarks for Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi K2.6Leader
LiveBench coding89.7%Not measuredOnly Gemini 4 Argon measured
LMArena WebDev16781509Gemini 4 Argon
AA Coding IndexNot measured61.8Only Kimi K2.6 measured
LiveCodeBench (Vals AI)Not measured86.8%Only Kimi K2.6 measured
SWE-bench Verified (Vals AI)Not measured76.2%Only Kimi K2.6 measured
Terminal-Bench 4 (Vals AI)57.6%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench (Vals AI)91.9%37.9%Gemini 4 Argon
Code migration (Vals AI)68.2%27.8%Gemini 4 Argon
ProgramBench (Vals AI)2.5%0.0%Gemini 4 Argon
IOI (Vals AI)100.0%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench 2.1 (Vals AI)57.7%53.6%Gemini 4 Argon
SWE-bench Multimodal (Vals AI)56.0%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)21.2%Not measuredOnly Gemini 4 Argon measured
CyberBench (Vals AI)77.9%Not measuredOnly Gemini 4 Argon measured
SciCode61.8%51.5%Gemini 4 Argon
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Kimi K2.6 measured
FrontierCode47.5%Not measuredOnly Gemini 4 Argon measured
FrontierSWE55.0%Not measuredOnly Gemini 4 Argon measured
WeirdMLNot measured55.9%Only Kimi K2.6 measured
ALE-Bench2100.11092.7Gemini 4 Argon
LMArena Text: coding15461489Gemini 4 Argon
LMArena Text: software and IT15561484Gemini 4 Argon
LMArena WebDev: React16921505Gemini 4 Argon
LMArena WebDev: HTML16431485Gemini 4 Argon
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi K2.6Leader
AA Intelligence Index52.627.0Gemini 4 Argon
Epoch Capabilities Index166.4150.9Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi K2.6Leader
AA Agentic IndexNot measured20.5Only Kimi K2.6 measured
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: spreadsheets11511276Kimi K2.6
LiveBench research83.1%Not measuredOnly Gemini 4 Argon measured
LiveBench browser92.0%Not measuredOnly Gemini 4 Argon measured
LiveBench long agentic69.9%Not measuredOnly Gemini 4 Argon measured
SREBench (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Finance Agent (Vals AI)65.4%44.9%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%12.4%Gemini 4 Argon
Legal Research Bench (Vals AI)54.8%15.9%Gemini 4 Argon
Harvey's Legal Agent Benchmark (Vals AI)27.1%Not measuredOnly Gemini 4 Argon measured
Excel Modeling Benchmark (Vals AI)75.2%57.9%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Vals Science Index55.4%Not measuredOnly Gemini 4 Argon measured
Time Horizon Index (Vals AI)52.5%Not measuredOnly Gemini 4 Argon measured
CUA-bench (Vals AI)4.8%Not measuredOnly Gemini 4 Argon measured
Robo-bench (Vals AI)0.8%Not measuredOnly Gemini 4 Argon measured
τ²-Bench TelecomNot measured95.9%Only Kimi K2.6 measured
APEX-Agents82.4%Not measuredOnly Gemini 4 Argon measured
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
Vending-Bench 2$13,718$6,205Gemini 4 Argon
Neither model has a result on the other 10 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi K2.6Leader
GPQA DiamondNot measured89.1%Only Kimi K2.6 measured
LiveBench reasoning95.1%Not measuredOnly Gemini 4 Argon measured
MysteryMechanism (Vals AI)45.5%Not measuredOnly Gemini 4 Argon measured
MMMU Pro (Vals AI)Not measured86.3%Only Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)Not measured91.1%Only Kimi K2.6 measured
Humanity's Last Exam (Artificial Analysis run)57.1%37.5%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%90.8%Gemini 4 Argon
ARC-AGI98.5%Not measuredOnly Gemini 4 Argon measured
ARC-AGI-291.3%Not measuredOnly Gemini 4 Argon measured
Chess puzzles59.0%20.0%Gemini 4 Argon
Mystery game puzzles64.0%18.0%Gemini 4 Argon
EBR-bench64.8%2.4%Gemini 4 Argon
LMArena Text: hard prompts15461470Gemini 4 Argon
LMArena Text: expert15501491Gemini 4 Argon
LMArena Text: hard prompts in English15481471Gemini 4 Argon
LMArena Vision: diagramsNot measured1298Only Kimi K2.6 measured
LMArena Vision: homeworkNot measured1310Only Kimi K2.6 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi K2.6Leader
OTIS Mock AIME100.0%96.1%Gemini 4 Argon
FrontierMath, tiers 1 to 386.0%57.2%Gemini 4 Argon
FrontierMath, tier 478.0%25.6%Gemini 4 Argon
ProofBench99.0%16.0%Gemini 4 Argon
LMArena Text: math15361474Gemini 4 Argon
LMArena Text: mathematical work15571480Gemini 4 Argon
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi K2.6Leader
MMLU ProNot measured87.6%Only Kimi K2.6 measured
LegalBench (Vals AI)88.3%84.7%Gemini 4 Argon
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)58.8%40.1%Gemini 4 Argon
SimpleQA Verified76.0%34.9%Gemini 4 Argon
LMArena Text: science15481468Gemini 4 Argon
LMArena Text: medicine and healthcare15551457Gemini 4 Argon
LMArena Text: legal and government15481462Gemini 4 Argon
LMArena Text: business and finance15251445Gemini 4 Argon
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi K2.6Leader
Design Arena: websites13151269Gemini 4 Argon
Design Arena: UI components13331266Gemini 4 Argon
Design Arena: game dev13771251Gemini 4 Argon
Design Arena: data viz13341249Gemini 4 Argon
Design Arena: 3D13891268Gemini 4 Argon
Design Arena: all code categories13281272Gemini 4 Argon
Design Arena: SVGNot measured1181Only Kimi K2.6 measured
Design Arena: ASCII artNot measured1164Only Kimi K2.6 measured
LiveBench design73.7%Not measuredOnly Gemini 4 Argon measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi K2.6Leader
Vals Index69.2%Not measuredOnly Gemini 4 Argon measured
LiveBench data analysis85.2%Not measuredOnly Gemini 4 Argon measured
Public Benefits Bench (Vals AI)69.8%56.6%Gemini 4 Argon
SAGE (Vals AI)53.6%50.2%Gemini 4 Argon
MedScribe (Vals AI)87.4%78.2%Gemini 4 Argon
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBenchNot measured76.0%Only Kimi K2.6 measured
Long context reasoning (AA-LCR)79.7%81.0%Kimi K2.6
DTBench97.6%90.9%Gemini 4 Argon
LMCA63.7%37.3%Gemini 4 Argon
Furniture assembly72.5%21.7%Gemini 4 Argon
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text15321455Gemini 4 Argon
LMArena Text: instruction following15341451Gemini 4 Argon
LMArena Text: creative writing15271434Gemini 4 Argon
LMArena VisionNot measured1282Only Kimi K2.6 measured
LMArena Text: English15381460Gemini 4 Argon
LMArena Text: non-English15221446Gemini 4 Argon
LMArena Text: Chinese16111520Gemini 4 Argon
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: FrenchNot measured1471Only Kimi K2.6 measured
LMArena Text: Spanish15031464Gemini 4 Argon
LMArena Text: Russian15341446Gemini 4 Argon
LMArena Text: PolishNot measured1438Only Kimi K2.6 measured
LMArena Text: multi-turn15561453Gemini 4 Argon
LMArena Text: longer queries15471468Gemini 4 Argon
LMArena Text: writing and language15291439Gemini 4 Argon
LMArena Text: entertainment and media15271428Gemini 4 Argon
LMArena Vision: EnglishNot measured1287Only Kimi K2.6 measured
LMArena Vision: ChineseNot measured1346Only Kimi K2.6 measured
LMArena Vision: reading textNot measured1291Only Kimi K2.6 measured
LMArena Vision: humorNot measured1280Only Kimi K2.6 measured
LMArena Vision: creative writingNot measured1273Only Kimi K2.6 measured
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 Gemini 4 Argon and Kimi K2.6
BenchmarkGemini 4 ArgonKimi 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

Gemini 4 Argon$0.0070Fits in one request
Kimi K2.6$0.0024Fits in one request

Kimi K2.6 costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
Kimi K2.6$0.043Fits in one request

Kimi K2.6 costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
Kimi K2.6$0.164Fits in one request

Kimi K2.6 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 4 Argon and Kimi K2.6
SpecificationGoogle Gemini 4 ArgonMoonshotAI Kimi K2.6
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedOctober 13, 2026April 20, 2026
Context window1.05M262K
Input $/Mtok$2.00$0.65
Output $/Mtok$10.00$3.41
Coding index80.544.2
Independent measurements behind it21
Cost per solved taskNot computable$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than Kimi K2.6 for coding?

Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 44.2 for Kimi K2.6. Pick Kimi K2.6 when output tokens cost 2.9x less, or when what matters is Design Arena: spreadsheets or Long context reasoning (AA-LCR), where it leads.

Which is cheaper, Gemini 4 Argon or Kimi K2.6?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 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, Gemini 4 Argon or Kimi K2.6?

Gemini 4 Argon, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 4 Argon vs Kimi K2.6 comparison based on?

65 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 2 independent benchmarks 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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