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GPT-4o-mini (2024-07-18) vs Kimi K2.5

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4o-mini (2024-07-18) Replace Kimi K2.5
GPT-4o-mini (2024-07-18)OpenAI
Coding
3.6
Overall
No data
Output $/M
$0.60
0
Kimi K2.5Moonshot AI
Coding
58.5
Overall
23.5
Output $/M
$2.50
34
vs boards won of 34 shared

Decision reading

Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18).

Pick GPT-4o-mini (2024-07-18) when output tokens cost 4.2x less.

Model AGPT-4o-mini (2024-07-18)OpenAI3.6/1001 independent benchmarkNo cost per solved taskModel BKimi K2.5Moonshot AI58.5/1002 independent benchmarks$0.24 per solved task
Shared results
34
GPT-4o-mini (2024-07-18) only
12
Kimi K2.5 only
64
Like-for-like categories
5 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
GPT-4o-mini (2024-07-18) 3.6 from 1 benchmark, Kimi K2.5 58.5 from 2 benchmarks.
Widest category
Reasoning, 34.0 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Vision: Chinese: GPT-4o-mini (2024-07-18) 1033 against Kimi K2.5 1328, 49.2 points apart on a 0 to 100 scale.
Output price
GPT-4o-mini (2024-07-18) $0.60 against Kimi K2.5 $2.50 per million output tokens, 4.2x apart.
Context window
GPT-4o-mini (2024-07-18) 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-mini (2024-07-18)BarsKimi K2.5Ties
Coding03
Reasoning04
Math02
Knowledge05
General020
All shared boards034
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.5Leader
Aider polyglot3.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
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 IndexNot measured46.8Only Kimi K2.5 measured
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
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Kimi K2.5 measured
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
WeirdML11.8%45.6%Kimi K2.5
ALE-BenchNot measured821.6Only Kimi K2.5 measured
LMArena Text: coding12901483Kimi K2.5
LMArena Text: software and IT12911471Kimi 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
Neither model has a result on the other 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.5Leader
AA Intelligence IndexNot measured23.5Only Kimi K2.5 measured
Epoch Capabilities IndexNot measured148.1Only Kimi K2.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)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 measured1124Only 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
BALROG17.4%Not measuredOnly GPT-4o-mini (2024-07-18) measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2Not measured$1,198Only Kimi K2.5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.5Leader
GPQA DiamondNot measured84.1%Only Kimi K2.5 measured
MMMU Pro (Vals AI)Not measured84.3%Only Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)Not measured87.9%Only Kimi K2.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured30.7%Only Kimi K2.5 measured
GPQA Diamond (Epoch AI run)37.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
ARC-AGINot measured65.3%Only Kimi K2.5 measured
ARC-AGI-2Not measured11.8%Only Kimi K2.5 measured
SimpleBench10.7%46.8%Kimi K2.5
Chess puzzles3.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Mystery game puzzles12.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
VPCT34.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts12671453Kimi K2.5
LMArena Text: expert12341466Kimi K2.5
LMArena Text: hard prompts in English12781460Kimi K2.5
LMArena Vision: diagramsNot measured1282Only Kimi K2.5 measured
LMArena Vision: homeworkNot measured1297Only Kimi K2.5 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
OTIS Mock AIME6.9%Not measuredOnly GPT-4o-mini (2024-07-18) measured
FrontierMath, tiers 1 to 30.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
MATH level 552.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: math12671470Kimi K2.5
LMArena Text: mathematical work12711473Kimi K2.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)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
SimpleQA Verified8.3%34.3%Kimi K2.5
MMLU76.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
GeoBench64.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: science12861459Kimi K2.5
LMArena Text: medicine and healthcare12821448Kimi K2.5
LMArena Text: legal and government13051441Kimi K2.5
LMArena Text: business and finance12651427Kimi K2.5
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.5Leader
Design Arena: websitesNot measured1249Only Kimi K2.5 measured
Design Arena: UI componentsNot measured1236Only Kimi K2.5 measured
Design Arena: game devNot measured1207Only Kimi K2.5 measured
Design Arena: data vizNot measured1219Only Kimi K2.5 measured
Design Arena: 3DNot measured1205Only Kimi K2.5 measured
Design Arena: all code categoriesNot measured1236Only Kimi K2.5 measured
Design Arena: SVGNot measured1149Only 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-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)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
Creative writing (Lech Mazur)67.2%Not measuredOnly GPT-4o-mini (2024-07-18) measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text12861445Kimi K2.5
LMArena Text: instruction following12581431Kimi K2.5
LMArena Text: creative writing12681422Kimi K2.5
LMArena Vision10661269Kimi K2.5
LMArena Text: English13011453Kimi K2.5
LMArena Text: non-English12661433Kimi K2.5
LMArena Text: Chinese12651494Kimi K2.5
LMArena Text: German12721441Kimi K2.5
LMArena Text: Japanese12161423Kimi K2.5
LMArena Text: Korean11951412Kimi K2.5
LMArena Text: French12971454Kimi K2.5
LMArena Text: Spanish12761450Kimi K2.5
LMArena Text: Russian12751435Kimi K2.5
LMArena Text: Polish12441445Kimi K2.5
LMArena Text: multi-turn12851444Kimi K2.5
LMArena Text: longer queries12891445Kimi K2.5
LMArena Text: writing and language12821425Kimi K2.5
LMArena Text: entertainment and media12531417Kimi K2.5
LMArena Vision: English10721274Kimi K2.5
LMArena Vision: Chinese10331328Kimi 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
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.5
BenchmarkGPT-4o-mini (2024-07-18)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-mini (2024-07-18)$0.0004Fits in one request
Kimi K2.5$0.0018Fits in one request

GPT-4o-mini (2024-07-18) costs less

Repository review

50K input + 3K output tokens

GPT-4o-mini (2024-07-18)$0.0093Fits in one request
Kimi K2.5$0.033Fits in one request

GPT-4o-mini (2024-07-18) costs less

Agent loop

200K input + 10K output tokens

GPT-4o-mini (2024-07-18)$0.036Exceeds the context window
Kimi K2.5$0.125Fits in one request

GPT-4o-mini (2024-07-18) 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-mini (2024-07-18) and Kimi K2.5
SpecificationOpenAI GPT-4o-mini (2024-07-18)MoonshotAI Kimi K2.5
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedJuly 18, 2024January 27, 2026
Context window128K262K
Input $/Mtok$0.15$0.50
Output $/Mtok$0.60$2.50
Coding index3.658.5
Independent measurements behind it12
Cost per solved taskNot computable$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o-mini (2024-07-18) better than Kimi K2.5 for coding?

Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18). Pick GPT-4o-mini (2024-07-18) when output tokens cost 4.2x less.

Which is cheaper, GPT-4o-mini (2024-07-18) or Kimi K2.5?

GPT-4o-mini (2024-07-18) costs $0.15 per million input tokens and $0.60 per million output tokens; Kimi K2.5 costs $0.50 and $2.50. Cost per solved task is known for Kimi K2.5 only.

Which has the bigger context window, GPT-4o-mini (2024-07-18) or Kimi K2.5?

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

How many benchmarks is the GPT-4o-mini (2024-07-18) vs Kimi K2.5 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. GPT-4o-mini (2024-07-18)'s coding index rests on 1 independent benchmark and Kimi K2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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