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Gemini 4 Argon vs Kimi K2 Thinking

Gemini 4 Argon leads Kimi K2 Thinking on the Artificial Analysis Intelligence Index, 52.6 to 22.0, and Kimi K2 Thinking costs 4.0x less per output token ($2.50 vs $10.00 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

Gemini 4 ArgonGoogle
Coding
81.0
Overall
84.0
Output $/M
$10.00
7
Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
No data
Output $/M
$2.50
0
vs boards won of 7 shared

Gemini 4 Argon or Kimi K2 Thinking: which to pick

Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding.

Pick Kimi K2 Thinking for output tokens 4.0x cheaper ($2.50 vs $10.00 per million).

Shared results
7
Gemini 4 Argon only
87
Kimi K2 Thinking only
23
Like-for-like categories
6 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
Gemini 4 Argon 81.0 from 5 benchmarks, Kimi K2 Thinking not benchmarked.
Widest category
Coding, 50.1 points apart on average over 1 shared benchmark.
Widest single gap
ALE-Bench: Gemini 4 Argon 2100.1 against Kimi K2 Thinking 597.5, 50.1 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against Kimi K2 Thinking $2.50 per million output tokens, 4.0x apart.
Context window
Gemini 4 Argon takes 1.05M tokens, Kimi K2 Thinking 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 ThinkingTies
Coding10
Intelligence20
Reasoning10
Knowledge10
Web design10
General10
All shared boards70
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Gemini 4 Argon and Kimi K2 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
SWE-bench VerifiedNot measured63.4%Only Kimi K2 Thinking measured
LiveBench coding89.7%Not measuredOnly Gemini 4 Argon measured
LMArena WebDev1678Not measuredOnly Gemini 4 Argon measured
LiveCodeBench (Vals AI)Not measured63.1%Only Kimi K2 Thinking measured
SWE-bench Verified (Vals AI)Not measured60.2%Only Kimi K2 Thinking measured
Terminal-Bench 4 (Vals AI)57.6%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench (Vals AI)91.9%Not measuredOnly Gemini 4 Argon measured
Code migration (Vals AI)68.2%Not measuredOnly Gemini 4 Argon measured
ProgramBench (Vals AI)2.5%Not measuredOnly Gemini 4 Argon measured
IOI (Vals AI)100.0%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench 2.1 (Vals AI)57.7%Not measuredOnly Gemini 4 Argon measured
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
LiveCodeBench (Artificial Analysis run)Not measured85.3%Only Kimi K2 Thinking measured
SciCode61.8%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only Kimi K2 Thinking measured
Terminal-BenchNot measured35.7%Only Kimi K2 Thinking measured
FrontierCode47.5%Not measuredOnly Gemini 4 Argon measured
FrontierSWE55.0%Not measuredOnly Gemini 4 Argon measured
WeirdMLNot measured42.8%Only Kimi K2 Thinking measured
MirrorCode58.9%Not measuredOnly Gemini 4 Argon measured
ALE-Bench2100.1597.5Gemini 4 Argon
LMArena Text: coding1546Not measuredOnly Gemini 4 Argon measured
LMArena Text: software and IT1556Not measuredOnly Gemini 4 Argon measured
LMArena WebDev: React1692Not measuredOnly Gemini 4 Argon measured
LMArena WebDev: HTML1643Not measuredOnly Gemini 4 Argon measured
SciCode12.3%Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Argon and Kimi K2 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
AA Intelligence Index52.622.0Gemini 4 Argon
Epoch Capabilities Index166.4145.8Gemini 4 Argon
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for Gemini 4 Argon and Kimi K2 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
Design Arena: spreadsheets1157Not measuredOnly Gemini 4 Argon measured
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%Not measuredOnly Gemini 4 Argon measured
Tax Agent Bench (Vals AI)44.6%Not measuredOnly Gemini 4 Argon measured
Legal Research Bench (Vals AI)54.8%Not measuredOnly Gemini 4 Argon measured
Harvey's Legal Agent Benchmark (Vals AI)27.1%Not measuredOnly Gemini 4 Argon measured
Excel Modeling Benchmark (Vals AI)75.2%Not measuredOnly Gemini 4 Argon measured
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 measured93.0%Only Kimi K2 Thinking measured
APEX-Agents82.4%Not measuredOnly Gemini 4 Argon measured
METR time horizonsNot measured59.2%Only Kimi K2 Thinking measured
Vending-Bench 2$13,718Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Gemini 4 Argon and Kimi K2 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
GPQA DiamondNot measured78.5%Only Kimi K2 Thinking measured
LiveBench reasoning95.1%Not measuredOnly Gemini 4 Argon measured
MysteryMechanism (Vals AI)45.5%Not measuredOnly Gemini 4 Argon measured
GPQA Diamond (Artificial Analysis run)Not measured83.8%Only Kimi K2 Thinking measured
Humanity's Last Exam (Artificial Analysis run)57.1%23.8%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%Not measuredOnly Gemini 4 Argon measured
ARC-AGI98.5%Not measuredOnly Gemini 4 Argon measured
ARC-AGI-291.3%Not measuredOnly Gemini 4 Argon measured
Chess puzzles59.0%Not measuredOnly Gemini 4 Argon measured
Mystery game puzzles64.0%Not measuredOnly Gemini 4 Argon measured
EBR-bench64.8%Not measuredOnly Gemini 4 Argon measured
LMArena Text: hard prompts1546Not measuredOnly Gemini 4 Argon measured
LMArena Text: expert1550Not measuredOnly Gemini 4 Argon measured
LMArena Text: hard prompts in English1548Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 8 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for Gemini 4 Argon and Kimi K2 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
AIMENot measured85.4%Only Kimi K2 Thinking measured
MGSM (Vals AI)Not measured90.2%Only Kimi K2 Thinking measured
AA Math IndexNot measured94.7Only Kimi K2 Thinking measured
AIME 2025 (Artificial Analysis run)Not measured94.7%Only Kimi K2 Thinking measured
OTIS Mock AIME100.0%Not measuredOnly Gemini 4 Argon measured
FrontierMath, tiers 1 to 386.0%Not measuredOnly Gemini 4 Argon measured
FrontierMath, tier 478.0%Not measuredOnly Gemini 4 Argon measured
ProofBench99.0%Not measuredOnly Gemini 4 Argon measured
LMArena Text: math1536Not measuredOnly Gemini 4 Argon measured
LMArena Text: mathematical work1557Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Gemini 4 Argon and Kimi K2 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
MMLU ProNot measured81.1%Only Kimi K2 Thinking measured
LegalBench (Vals AI)88.3%80.2%Gemini 4 Argon
CaseLaw (Vals AI)Not measured65.7%Only Kimi K2 Thinking measured
CorpFin (Vals AI)Not measured60.6%Only Kimi K2 Thinking measured
TaxEval (Vals AI)Not measured71.7%Only Kimi K2 Thinking measured
MedQA (Vals AI)Not measured92.6%Only Kimi K2 Thinking measured
MedCode (Vals AI)58.8%Not measuredOnly Gemini 4 Argon measured
MMLU Pro (Artificial Analysis run)Not measured84.8%Only Kimi K2 Thinking measured
SimpleQA Verified76.0%Not measuredOnly Gemini 4 Argon measured
LMArena Text: science1548Not measuredOnly Gemini 4 Argon measured
LMArena Text: medicine and healthcare1555Not measuredOnly Gemini 4 Argon measured
LMArena Text: legal and government1548Not measuredOnly Gemini 4 Argon measured
LMArena Text: business and finance1525Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for Gemini 4 Argon and Kimi K2 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
Design Arena: websites13151113Gemini 4 Argon
Design Arena: UI components1333Not measuredOnly Gemini 4 Argon measured
Design Arena: game dev1377Not measuredOnly Gemini 4 Argon measured
Design Arena: data viz1332Not measuredOnly Gemini 4 Argon measured
Design Arena: 3D1388Not measuredOnly Gemini 4 Argon measured
Design Arena: all code categories1329Not measuredOnly Gemini 4 Argon measured
LiveBench design73.7%Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Gemini 4 Argon and Kimi K2 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
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%Not measuredOnly Gemini 4 Argon measured
SAGE (Vals AI)53.6%Not measuredOnly Gemini 4 Argon measured
MedScribe (Vals AI)87.4%Not measuredOnly Gemini 4 Argon measured
IFBenchNot measured68.1%Only Kimi K2 Thinking measured
Long context reasoning (AA-LCR)79.7%72.0%Gemini 4 Argon
DTBench97.6%Not measuredOnly Gemini 4 Argon measured
LMCA63.7%Not measuredOnly Gemini 4 Argon measured
CL-benchNot measured17.6%Only Kimi K2 Thinking measured
Furniture assembly72.5%Not measuredOnly Gemini 4 Argon measured
LMArena Text1532Not measuredOnly Gemini 4 Argon measured
LMArena Text: instruction following1534Not measuredOnly Gemini 4 Argon measured
LMArena Text: creative writing1527Not measuredOnly Gemini 4 Argon measured
LMArena Text: English1538Not measuredOnly Gemini 4 Argon measured
LMArena Text: non-English1522Not measuredOnly Gemini 4 Argon measured
LMArena Text: Chinese1611Not measuredOnly Gemini 4 Argon measured
LMArena Text: Spanish1503Not measuredOnly Gemini 4 Argon measured
LMArena Text: Russian1534Not measuredOnly Gemini 4 Argon measured
LMArena Text: multi-turn1556Not measuredOnly Gemini 4 Argon measured
LMArena Text: longer queries1547Not measuredOnly Gemini 4 Argon measured
LMArena Text: writing and language1529Not measuredOnly Gemini 4 Argon measured
LMArena Text: entertainment and media1527Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 23 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 Thinking
BenchmarkGemini 4 ArgonKimi K2 ThinkingLeader
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 Thinking$0.0019Fits in one request

Kimi K2 Thinking costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
Kimi K2 Thinking$0.037Fits in one request

Kimi K2 Thinking costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
Kimi K2 Thinking$0.145Fits in one request

Kimi K2 Thinking 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 Thinking
SpecificationGoogle Gemini 4 ArgonMoonshotAI Kimi K2 Thinking
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedOctober 13, 2026November 6, 2025
Context window1.05M262K
Input $/Mtok$2.00$0.60
Output $/Mtok$10.00$2.50
Coding index81.0Not benchmarked
Independent measurements behind it51
Cost per solved taskNot computable$0.61
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than Kimi K2 Thinking for coding?

Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding. Pick Kimi K2 Thinking for output tokens 4.0x cheaper ($2.50 vs $10.00 per million).

Which is cheaper, Gemini 4 Argon or Kimi K2 Thinking?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; Kimi K2 Thinking costs $0.60 and $2.50. Cost per solved task is known for Kimi K2 Thinking only.

Which has the bigger context window, Gemini 4 Argon or Kimi K2 Thinking?

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

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

7 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and Kimi K2 Thinking's on 1. Where only one model has a result, the page says so instead of naming a winner.

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