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GPT-4o (2024-05-13) vs Kimi K2.5

Kimi K2.5 leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 23.5 to 7.3, and Kimi K2.5 costs 5.3x less per output token ($2.85 vs $15.00 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace GPT-4o (2024-05-13) Replace Kimi K2.5
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
36
vs boards won of 36 shared

GPT-4o (2024-05-13) or Kimi K2.5: which to pick

Only Kimi K2.5 has a coding score, 38.6 on the Vibe Coding Index; GPT-4o (2024-05-13) has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved task
Shared results
36
GPT-4o (2024-05-13) only
8
Kimi K2.5 only
71
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
GPT-4o (2024-05-13) not benchmarked, Kimi K2.5 38.6 from 3 benchmarks.
Widest category
Reasoning, 31.8 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GPT-4o (2024-05-13) 1277 against Kimi K2.5 1494, 36.1 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-05-13) $15.00 against Kimi K2.5 $2.85 per million output tokens, 5.3x apart.
Context window
GPT-4o (2024-05-13) takes 128K tokens, Kimi K2.5 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-4o (2024-05-13)BarsKimi K2.5Ties
Coding03
Intelligence01
Reasoning06
Math02
Knowledge04
General020
All shared boards036
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDevNot measured1437Only Kimi K2.5 measured
AA Coding Index24.246.8Kimi K2.5
LiveCodeBench (Vals AI)Not measured83.9%Only Kimi K2.5 measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Kimi K2.5 measured
Vibe Code Bench (Vals AI)Not measured17.5%Only Kimi K2.5 measured
Code migration (Vals AI)Not measured7.0%Only Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Kimi K2.5 measured
LiveCodeBench (Artificial Analysis run)33.4%Not measuredOnly GPT-4o (2024-05-13) measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Kimi K2.5 measured
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
WeirdMLNot measured45.6%Only Kimi K2.5 measured
ALE-BenchNot measured821.6Only Kimi K2.5 measured
LMArena Text: coding12971483Kimi K2.5
LMArena Text: software and IT12971471Kimi K2.5
LMArena WebDev: ReactNot measured1429Only Kimi K2.5 measured
LMArena WebDev: HTMLNot measured1426Only Kimi K2.5 measured
LMArena WebDev: from an imageNot measured1439Only Kimi K2.5 measured
SWE Atlas: Codebase QnANot measured13.1%Only Kimi K2.5 measured
SWE Atlas: RefactoringNot measured20.9%Only Kimi K2.5 measured
SWE Atlas: Test WritingNot measured25.8%Only Kimi K2.5 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
AA Intelligence Index7.323.5Kimi K2.5
Epoch Capabilities IndexNot measured148.1Only Kimi K2.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1118Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 measured
Finance Agent (Vals AI)Not measured35.8%Only Kimi K2.5 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured28.5%Only Kimi K2.5 measured
τ²-Bench TelecomNot measured95.9%Only Kimi K2.5 measured
METR time horizons40.8%Not measuredOnly GPT-4o (2024-05-13) measured
BALROG32.3%Not measuredOnly GPT-4o (2024-05-13) measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2Not measured$1,198Only Kimi K2.5 measured
MCP AtlasNot measured64.4%Only Kimi K2.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
GPQA Diamond50.2%84.1%Kimi K2.5
MMMU Pro (Vals AI)Not measured84.3%Only Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)52.6%87.9%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)1.8%30.7%Kimi K2.5
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4o (2024-05-13) measured
ARC-AGINot measured65.3%Only Kimi K2.5 measured
ARC-AGI-2Not measured11.8%Only Kimi K2.5 measured
SimpleBenchNot measured46.8%Only Kimi K2.5 measured
LMArena Text: hard prompts12811453Kimi K2.5
LMArena Text: expert12501466Kimi K2.5
LMArena Text: hard prompts in English12931460Kimi K2.5
LMArena Vision: diagramsNot measured1282Only Kimi K2.5 measured
LMArena Vision: homeworkNot measured1297Only Kimi K2.5 measured
Kagi LLM BenchmarkNot measured78.5%Only Kimi K2.5 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
OTIS Mock AIME6.3%Not measuredOnly GPT-4o (2024-05-13) measured
MATH level 551.0%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: math12841470Kimi K2.5
LMArena Text: mathematical work12841473Kimi K2.5
MathArenaNot measured17.9%Only Kimi K2.5 measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
MMLU ProNot measured85.9%Only Kimi K2.5 measured
CaseLaw (Vals AI)Not measured58.7%Only Kimi K2.5 measured
CorpFin (Vals AI)Not measured68.3%Only Kimi K2.5 measured
TaxEval (Vals AI)Not measured74.2%Only Kimi K2.5 measured
MortgageTax (Vals AI)Not measured66.5%Only Kimi K2.5 measured
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)Not measured39.3%Only Kimi K2.5 measured
MMLU Pro (Artificial Analysis run)74.0%Not measuredOnly GPT-4o (2024-05-13) measured
SimpleQA VerifiedNot measured34.3%Only Kimi K2.5 measured
MMLU84.2%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: science12951459Kimi K2.5
LMArena Text: medicine and healthcare12781448Kimi K2.5
LMArena Text: legal and government13141441Kimi K2.5
LMArena Text: business and finance12621427Kimi K2.5
PRBench FinanceNot measured46.5%Only Kimi K2.5 measured
PRBench LegalNot measured43.8%Only Kimi K2.5 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
Design Arena: websitesNot measured1248Only Kimi K2.5 measured
Design Arena: UI componentsNot measured1234Only Kimi K2.5 measured
Design Arena: game devNot measured1206Only Kimi K2.5 measured
Design Arena: data vizNot measured1219Only Kimi K2.5 measured
Design Arena: 3DNot measured1204Only Kimi K2.5 measured
Design Arena: all code categoriesNot measured1236Only Kimi K2.5 measured
Design Arena: SVGNot measured1148Only Kimi K2.5 measured
Design Arena: ASCII artNot measured1165Only Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
SAGE (Vals AI)Not measured49.9%Only Kimi K2.5 measured
MedScribe (Vals AI)Not measured76.4%Only Kimi K2.5 measured
IFBenchNot measured70.2%Only Kimi K2.5 measured
Long context reasoning (AA-LCR)Not measured78.0%Only Kimi K2.5 measured
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text13001445Kimi K2.5
LMArena Text: instruction following12781431Kimi K2.5
LMArena Text: creative writing12911422Kimi K2.5
LMArena Vision11371269Kimi K2.5
LMArena Text: English13121453Kimi K2.5
LMArena Text: non-English12831433Kimi K2.5
LMArena Text: Chinese12771494Kimi K2.5
LMArena Text: German12831441Kimi K2.5
LMArena Text: Japanese12571423Kimi K2.5
LMArena Text: Korean12341412Kimi K2.5
LMArena Text: French13041454Kimi K2.5
LMArena Text: Spanish12921450Kimi K2.5
LMArena Text: Russian12851435Kimi K2.5
LMArena Text: Polish13651445Kimi K2.5
LMArena Text: multi-turn13021444Kimi K2.5
LMArena Text: longer queries12881445Kimi K2.5
LMArena Text: writing and language12981425Kimi K2.5
LMArena Text: entertainment and media12891417Kimi K2.5
LMArena Vision: English11471274Kimi K2.5
LMArena Vision: Chinese11321328Kimi K2.5
LMArena Vision: reading textNot measured1276Only Kimi K2.5 measured
LMArena Vision: humorNot measured1284Only Kimi K2.5 measured
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing thingsNot measured1285Only Kimi K2.5 measured
LMArena Vision: creative writingNot measured1269Only Kimi K2.5 measured
MultiChallengeNot measured61.4%Only Kimi K2.5 measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-05-13) and Kimi K2.5
BenchmarkGPT-4o (2024-05-13)Kimi K2.5Leader
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-4o (2024-05-13)$0.013Fits in one request
Kimi K2.5$0.0020Fits in one request

Kimi K2.5 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
Kimi K2.5$0.035Fits in one request

Kimi K2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
Kimi K2.5$0.135Fits in one request

Kimi K2.5 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-4o (2024-05-13) and Kimi K2.5
SpecificationOpenAI GPT-4o (2024-05-13)MoonshotAI Kimi K2.5
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedMay 13, 2024January 27, 2026
Context window128K262K
Input $/Mtok$5.00$0.532
Output $/Mtok$15.00$2.85
Coding indexNot benchmarked38.6
Independent measurements behind it03
Cost per solved taskNot computable$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-05-13) better than Kimi K2.5 for coding?

Only Kimi K2.5 has a coding score, 38.6 on the Vibe Coding Index; GPT-4o (2024-05-13) has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4o (2024-05-13) or Kimi K2.5?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Cost per solved task is known for Kimi K2.5 only.

Which has the bigger context window, GPT-4o (2024-05-13) or Kimi K2.5?

Kimi K2.5, with 262K tokens against 128K.

How many benchmarks is the GPT-4o (2024-05-13) vs Kimi K2.5 comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-05-13)'s coding index rests on 0 independent benchmarks and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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