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GPT-5.2 vs Kimi K2.6

GPT-5.2 leads Kimi K2.6 on coding, 55.9 to 52.1 on the Vibe Coding Index, and Kimi K2.6 costs 3.5x less per output token ($4.00 vs $14.00 per million). Updated October 22, 2026; 89 benchmarks have a result for both.

Replace GPT-5.2 Replace Kimi K2.6
GPT-5.2OpenAI
Coding
55.9
Overall
60.7
Output $/M
$14.00
25
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
62
vs boards won of 89 shared, 2 tied

GPT-5.2 or Kimi K2.6: which to pick

Pick GPT-5.2 for coding: it scores 55.9 on the Vibe Coding Index against 52.1 for Kimi K2.6.

Pick Kimi K2.6 for output tokens 3.5x cheaper ($4.00 vs $14.00 per million) and a lower cost per solved task ($0.35 against $1.91).

Model AGPT-5.2OpenAI55.9/1003 independent benchmarks$1.91 per solved taskModel BKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved task
Shared results
89
GPT-5.2 only
25
Kimi K2.6 only
20
Like-for-like categories
8 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
GPT-5.2 55.9 from 3 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
Widest category
Agentic work, 12.5 points apart on average over 7 shared benchmarks.
Widest single gap
Chess puzzles: GPT-5.2 48.0% against Kimi K2.6 20.0%, 28.0 points apart on a 0 to 100 scale.
Output price
GPT-5.2 $14.00 against Kimi K2.6 $4.00 per million output tokens, 3.5x apart.
Context window
GPT-5.2 takes 400K 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
CategoryGPT-5.2BarsKimi K2.6Ties
Coding46
Intelligence20
Agentic work16
Reasoning76
Math231 tie
Knowledge57
Web design08
General4261 tie
All shared boards25622 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index46
Coding benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi K2.6Leader
SWE-bench Verified72.8%Not measuredOnly GPT-5.2 measured
SWE-bench Multilingual66.7%Not measuredOnly GPT-5.2 measured
LMArena WebDev14171509Kimi K2.6
AA Coding IndexNot measured61.8Only Kimi K2.6 measured
LiveCodeBench (Vals AI)85.4%86.8%Kimi K2.6
SWE-bench Verified (Vals AI)75.8%76.2%Kimi K2.6
Vibe Code Bench (Vals AI)53.5%37.9%GPT-5.2
Code migration (Vals AI)Not measured27.8%Only Kimi K2.6 measured
ProgramBench (Vals AI)Not measured0.0%Only Kimi K2.6 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only Kimi K2.6 measured
LiveCodeBench (Artificial Analysis run)89.4%Not measuredOnly GPT-5.2 measured
SciCodeNot measured51.5%Only Kimi K2.6 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%43.9%GPT-5.2
Terminal-Bench64.9%Not measuredOnly GPT-5.2 measured
GSO-Bench27.5%Not measuredOnly GPT-5.2 measured
WeirdML72.2%55.9%GPT-5.2
ALE-Bench1293.51092.7GPT-5.2
LMArena Text: coding14421489Kimi K2.6
LMArena Text: software and IT14341484Kimi K2.6
LMArena WebDev: ReactNot measured1505Only Kimi K2.6 measured
LMArena WebDev: HTML14271485Kimi K2.6
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi K2.6Leader
AA Intelligence Index30.427.0GPT-5.2
Epoch Capabilities Index153.7150.9GPT-5.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index16
Agentic work benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi K2.6Leader
AA Agentic IndexNot measured20.5Only Kimi K2.6 measured
Design Arena: agents building web apps10861268Kimi K2.6
Design Arena: agents building full-stack apps10431155Kimi K2.6
Design Arena: agents building mobile apps10931156Kimi K2.6
Design Arena: agents building Android apps10591161Kimi K2.6
Design Arena: agents building Godot games11421120GPT-5.2
Design Arena: agents building gamesNot measured1141Only Kimi K2.6 measured
Design Arena: HTML slidesNot measured1135Only Kimi K2.6 measured
Design Arena: PowerPoint slidesNot measured1103Only Kimi K2.6 measured
Design Arena: spreadsheetsNot measured1276Only Kimi K2.6 measured
Finance Agent (Vals AI)Not measured44.9%Only Kimi K2.6 measured
Tax Agent Bench (Vals AI)Not measured12.4%Only Kimi K2.6 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.6 measured
Excel Modeling Benchmark (Vals AI)Not measured57.9%Only Kimi K2.6 measured
τ²-Bench Telecom84.8%95.9%Kimi K2.6
METR time horizons75.3%Not measuredOnly GPT-5.2 measured
Remote Labor Index2.5%Not measuredOnly GPT-5.2 measured
GDPval49.7%Not measuredOnly GPT-5.2 measured
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
DeepResearch Bench41.1%Not measuredOnly GPT-5.2 measured
Vending-Bench 2$3,591$6,205Kimi K2.6
Berkeley Function Calling Leaderboard (BFCL)55.9%Not measuredOnly GPT-5.2 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index76
Reasoning benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi K2.6Leader
GPQA Diamond91.7%89.1%GPT-5.2
MMMU Pro (Vals AI)86.7%86.3%GPT-5.2
GPQA Diamond (Artificial Analysis run)90.3%91.1%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)37.7%37.5%GPT-5.2
GPQA Diamond (Epoch AI run)91.4%90.8%GPT-5.2
ARC-AGI86.2%Not measuredOnly GPT-5.2 measured
ARC-AGI-252.9%Not measuredOnly GPT-5.2 measured
SimpleBench45.8%Not measuredOnly GPT-5.2 measured
Chess puzzles48.0%20.0%GPT-5.2
Mystery game puzzles23.0%18.0%GPT-5.2
EBR-bench23.0%2.4%GPT-5.2
VPCT84.0%Not measuredOnly GPT-5.2 measured
LMArena Text: hard prompts14281470Kimi K2.6
LMArena Text: expert14451491Kimi K2.6
LMArena Text: hard prompts in English14311471Kimi K2.6
LMArena Vision: diagrams12651298Kimi K2.6
LMArena Vision: homework12761310Kimi K2.6
Kagi LLM Benchmark73.3%Not measuredOnly GPT-5.2 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index23
Math benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi K2.6Leader
AIME96.9%Not measuredOnly GPT-5.2 measured
MGSM (Vals AI)94.0%Not measuredOnly GPT-5.2 measured
AA Math Index99.0Not measuredOnly GPT-5.2 measured
AIME 2025 (Artificial Analysis run)99.0%Not measuredOnly GPT-5.2 measured
OTIS Mock AIME96.1%96.1%Tie
FrontierMath, tiers 1 to 367.4%57.2%GPT-5.2
FrontierMath, tier 431.7%25.6%GPT-5.2
ProofBench15.0%16.0%Kimi K2.6
LMArena Text: math14401474Kimi K2.6
LMArena Text: mathematical work14421480Kimi K2.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index57
Knowledge benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi K2.6Leader
MMLU Pro86.2%87.6%Kimi K2.6
LegalBench (Vals AI)82.8%84.7%Kimi K2.6
CaseLaw (Vals AI)66.0%61.2%GPT-5.2
CorpFin (Vals AI)65.9%66.7%Kimi K2.6
TaxEval (Vals AI)75.8%74.7%GPT-5.2
MortgageTax (Vals AI)67.1%65.8%GPT-5.2
MedQA (Vals AI)94.1%Not measuredOnly GPT-5.2 measured
MedCode (Vals AI)49.8%40.1%GPT-5.2
MMLU Pro (Artificial Analysis run)87.4%Not measuredOnly GPT-5.2 measured
SimpleQA Verified37.1%34.9%GPT-5.2
LMArena Text: science14251468Kimi K2.6
LMArena Text: medicine and healthcare14251457Kimi K2.6
LMArena Text: legal and government14271462Kimi K2.6
LMArena Text: business and finance14141445Kimi K2.6
FACTS Benchmark Suite48.5%Not measuredOnly GPT-5.2 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi K2.6Leader
Design Arena: websites11951268Kimi K2.6
Design Arena: UI components11901263Kimi K2.6
Design Arena: game dev11951250Kimi K2.6
Design Arena: data viz12021249Kimi K2.6
Design Arena: 3D10791267Kimi K2.6
Design Arena: all code categories11701271Kimi K2.6
Design Arena: SVG11391181Kimi K2.6
Design Arena: ASCII art11521165Kimi K2.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index426
General benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi K2.6Leader
Public Benefits Bench (Vals AI)Not measured56.6%Only Kimi K2.6 measured
SAGE (Vals AI)49.3%50.2%Kimi K2.6
MedScribe (Vals AI)84.4%78.2%GPT-5.2
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBench75.4%76.0%Kimi K2.6
Long context reasoning (AA-LCR)82.7%81.0%GPT-5.2
DTBench90.9%90.9%Tie
LMCA43.9%37.3%GPT-5.2
CL-bench18.2%Not measuredOnly GPT-5.2 measured
Furniture assembly38.3%21.7%GPT-5.2
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text14161455Kimi K2.6
LMArena Text: instruction following14091451Kimi K2.6
LMArena Text: creative writing13761434Kimi K2.6
LMArena Vision12461282Kimi K2.6
LMArena Text: English14221460Kimi K2.6
LMArena Text: non-English14051446Kimi K2.6
LMArena Text: Chinese14471520Kimi K2.6
LMArena Text: German14441451Kimi K2.6
LMArena Text: Japanese14201443Kimi K2.6
LMArena Text: Korean13741427Kimi K2.6
LMArena Text: French14541471Kimi K2.6
LMArena Text: Spanish14131464Kimi K2.6
LMArena Text: Russian14151446Kimi K2.6
LMArena Text: Polish14261438Kimi K2.6
LMArena Text: multi-turn14191453Kimi K2.6
LMArena Text: longer queries14131468Kimi K2.6
LMArena Text: writing and language13921439Kimi K2.6
LMArena Text: entertainment and media13781428Kimi K2.6
LMArena Vision: English12431287Kimi K2.6
LMArena Vision: Chinese13051346Kimi K2.6
LMArena Vision: reading text12571291Kimi K2.6
LMArena Vision: humor12271280Kimi K2.6
LMArena Vision: captioning1267Not measuredOnly GPT-5.2 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.2 measured
LMArena Vision: creative writing12251273Kimi K2.6
LMArena Document14051451Kimi K2.6
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.2 and Kimi K2.6
BenchmarkGPT-5.2Kimi 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

GPT-5.2$0.0088Fits in one request
Kimi K2.6$0.0029Fits in one request

Kimi K2.6 costs less

Repository review

50K input + 3K output tokens

GPT-5.2$0.130Fits in one request
Kimi K2.6$0.059Fits in one request

Kimi K2.6 costs less

Agent loop

200K input + 10K output tokens

GPT-5.2$0.490Fits in one request
Kimi K2.6$0.230Fits 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 GPT-5.2 and Kimi K2.6
SpecificationOpenAI GPT-5.2MoonshotAI Kimi K2.6
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedDecember 10, 2025April 20, 2026
Context window400K262K
Input $/Mtok$1.75$0.95
Output $/Mtok$14.00$4.00
Coding index55.952.1
Independent measurements behind it33
Cost per solved task$1.91$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 better than Kimi K2.6 for coding?

Pick GPT-5.2 for coding: it scores 55.9 on the Vibe Coding Index against 52.1 for Kimi K2.6. Pick Kimi K2.6 for output tokens 3.5x cheaper ($4.00 vs $14.00 per million) and a lower cost per solved task ($0.35 against $1.91).

Which is cheaper, GPT-5.2 or Kimi K2.6?

GPT-5.2 costs $1.75 per million input tokens and $14.00 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, GPT-5.2 costs $1.91 and Kimi K2.6 $0.35.

Which has the bigger context window, GPT-5.2 or Kimi K2.6?

GPT-5.2, with 400K tokens against 262K.

How many benchmarks is the GPT-5.2 vs Kimi K2.6 comparison based on?

89 benchmarks have a result for both models as of October 22, 2026. GPT-5.2's coding index rests on 3 independent benchmarks and Kimi K2.6's on 3. Where only one model has a result, the page says so instead of naming a winner.

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