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GPT-4o-mini (2024-07-18) vs Kimi K2.6

Updated October 21, 2026. 38 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 K2.6
GPT-4o-mini (2024-07-18)OpenAI
Coding
3.6
Overall
No data
Output $/M
$0.60
0
Kimi K2.6Moonshot AI
Coding
44.2
Overall
27.0
Output $/M
$3.41
38
vs boards won of 38 shared

Decision reading

Pick Kimi K2.6 for coding: it scores 44.2 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 5.7x less.

Model AGPT-4o-mini (2024-07-18)OpenAI3.6/1001 independent benchmarkNo cost per solved taskModel BKimi K2.6Moonshot AI44.2/1001 independent benchmark$0.35 per solved task
Shared results
38
GPT-4o-mini (2024-07-18) only
8
Kimi K2.6 only
71
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 K2.6 44.2 from 1 benchmark.
Widest category
Math, 53.7 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4o-mini (2024-07-18) 6.9% against Kimi K2.6 96.1%, 89.2 points apart on a 0 to 100 scale.
Output price
GPT-4o-mini (2024-07-18) $0.60 against Kimi K2.6 $3.41 per million output tokens, 5.7x apart.
Context window
GPT-4o-mini (2024-07-18) takes 128K 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-4o-mini (2024-07-18)BarsKimi K2.6Ties
Coding03
Reasoning06
Math04
Knowledge05
General020
All shared boards038
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.6Leader
Aider polyglot3.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena WebDevNot measured1509Only Kimi K2.6 measured
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
Vibe Code Bench (Vals AI)Not measured37.9%Only Kimi K2.6 measured
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
SciCodeNot measured51.5%Only Kimi K2.6 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Kimi K2.6 measured
WeirdML11.8%55.9%Kimi K2.6
ALE-BenchNot measured1092.7Only Kimi K2.6 measured
LMArena Text: coding12901489Kimi K2.6
LMArena Text: software and IT12911484Kimi K2.6
LMArena WebDev: ReactNot measured1505Only Kimi K2.6 measured
LMArena WebDev: HTMLNot measured1485Only Kimi K2.6 measured
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 20 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 K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.6Leader
AA Intelligence IndexNot measured27.0Only Kimi K2.6 measured
Epoch Capabilities IndexNot measured150.9Only Kimi K2.6 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi 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: 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 TelecomNot measured95.9%Only Kimi K2.6 measured
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
BALROG17.4%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Vending-Bench 2Not measured$6,205Only Kimi K2.6 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.6Leader
GPQA DiamondNot measured89.1%Only Kimi K2.6 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)Not measured37.5%Only Kimi K2.6 measured
GPQA Diamond (Epoch AI run)37.7%90.8%Kimi K2.6
SimpleBench10.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Chess puzzles3.0%20.0%Kimi K2.6
Mystery game puzzles12.0%18.0%Kimi K2.6
EBR-benchNot measured2.4%Only Kimi K2.6 measured
VPCT34.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts12671470Kimi K2.6
LMArena Text: expert12341491Kimi K2.6
LMArena Text: hard prompts in English12781471Kimi K2.6
LMArena Vision: diagramsNot measured1298Only Kimi K2.6 measured
LMArena Vision: homeworkNot measured1310Only Kimi K2.6 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4o-mini (2024-07-18) and Kimi K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.6Leader
OTIS Mock AIME6.9%96.1%Kimi K2.6
FrontierMath, tiers 1 to 30.7%57.2%Kimi K2.6
FrontierMath, tier 4Not measured25.6%Only Kimi K2.6 measured
ProofBenchNot measured16.0%Only Kimi K2.6 measured
MATH level 552.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: math12671474Kimi K2.6
LMArena Text: mathematical work12711480Kimi K2.6
Neither model has a result on the other 6 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 K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.6Leader
MMLU ProNot measured87.6%Only Kimi K2.6 measured
LegalBench (Vals AI)Not measured84.7%Only Kimi K2.6 measured
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)Not measured40.1%Only Kimi K2.6 measured
SimpleQA Verified8.3%34.9%Kimi K2.6
MMLU76.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
GeoBench64.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: science12861468Kimi K2.6
LMArena Text: medicine and healthcare12821457Kimi K2.6
LMArena Text: legal and government13051462Kimi K2.6
LMArena Text: business and finance12651445Kimi K2.6
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 K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.6Leader
Design Arena: websitesNot measured1269Only Kimi K2.6 measured
Design Arena: UI componentsNot measured1266Only Kimi K2.6 measured
Design Arena: game devNot measured1251Only Kimi K2.6 measured
Design Arena: data vizNot measured1249Only Kimi K2.6 measured
Design Arena: 3DNot measured1268Only Kimi K2.6 measured
Design Arena: all code categoriesNot measured1272Only Kimi K2.6 measured
Design Arena: SVGNot measured1181Only Kimi K2.6 measured
Design Arena: ASCII artNot measured1164Only Kimi K2.6 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 K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi K2.6Leader
Public Benefits Bench (Vals AI)Not measured56.6%Only Kimi K2.6 measured
SAGE (Vals AI)Not measured50.2%Only Kimi K2.6 measured
MedScribe (Vals AI)Not measured78.2%Only Kimi K2.6 measured
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBenchNot measured76.0%Only Kimi K2.6 measured
Long context reasoning (AA-LCR)Not measured81.0%Only Kimi K2.6 measured
DTBenchNot measured90.9%Only Kimi K2.6 measured
LMCANot measured37.3%Only Kimi K2.6 measured
Creative writing (Lech Mazur)67.2%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text12861455Kimi K2.6
LMArena Text: instruction following12581451Kimi K2.6
LMArena Text: creative writing12681434Kimi K2.6
LMArena Vision10661282Kimi K2.6
LMArena Text: English13011460Kimi K2.6
LMArena Text: non-English12661446Kimi K2.6
LMArena Text: Chinese12651520Kimi K2.6
LMArena Text: German12721451Kimi K2.6
LMArena Text: Japanese12161443Kimi K2.6
LMArena Text: Korean11951427Kimi K2.6
LMArena Text: French12971471Kimi K2.6
LMArena Text: Spanish12761464Kimi K2.6
LMArena Text: Russian12751446Kimi K2.6
LMArena Text: Polish12441438Kimi K2.6
LMArena Text: multi-turn12851453Kimi K2.6
LMArena Text: longer queries12891468Kimi K2.6
LMArena Text: writing and language12821439Kimi K2.6
LMArena Text: entertainment and media12531428Kimi K2.6
LMArena Vision: English10721287Kimi K2.6
LMArena Vision: Chinese10331346Kimi K2.6
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 11 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 K2.6
BenchmarkGPT-4o-mini (2024-07-18)Kimi 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-4o-mini (2024-07-18)$0.0004Fits in one request
Kimi K2.6$0.0024Fits 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 K2.6$0.043Fits 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 K2.6$0.164Fits 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 K2.6
SpecificationOpenAI GPT-4o-mini (2024-07-18)MoonshotAI Kimi K2.6
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedJuly 18, 2024April 20, 2026
Context window128K262K
Input $/Mtok$0.15$0.65
Output $/Mtok$0.60$3.41
Coding index3.644.2
Independent measurements behind it11
Cost per solved taskNot computable$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o-mini (2024-07-18) better than Kimi K2.6 for coding?

Pick Kimi K2.6 for coding: it scores 44.2 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 5.7x less.

Which is cheaper, GPT-4o-mini (2024-07-18) or Kimi K2.6?

GPT-4o-mini (2024-07-18) costs $0.15 per million input tokens and $0.60 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, GPT-4o-mini (2024-07-18) or Kimi K2.6?

Kimi K2.6, with 262K tokens against 128K.

How many benchmarks is the GPT-4o-mini (2024-07-18) vs Kimi K2.6 comparison based on?

38 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 K2.6's on 1. Where only one model has a result, the page says so instead of naming a winner.

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