Enter opens the highlighted result. Esc closes.

GPT-4o (2024-05-13) vs Kimi K2 0711

Kimi K2 0711 leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 12.7 to 7.3, and Kimi K2 0711 costs 6.5x less per output token ($2.30 vs $15.00 per million). Updated October 22, 2026; 6 benchmarks have a result for both.

Replace GPT-4o (2024-05-13) Replace Kimi K2 0711
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
6
vs boards won of 6 shared

GPT-4o (2024-05-13) or Kimi K2 0711: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4o (2024-05-13) for work measured by LiveCodeBench (Artificial Analysis run) or AA Intelligence Index, where it leads.

Model AGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BKimi K2 0711Moonshot AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
6
GPT-4o (2024-05-13) only
38
Kimi K2 0711 only
31
Like-for-like categories
4 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 0711 not benchmarked.
Widest category
Coding, 22.2 points apart on average over 1 shared benchmark.
Widest single gap
GPQA Diamond (Artificial Analysis run): GPT-4o (2024-05-13) 52.6% against Kimi K2 0711 76.6%, 24.0 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-05-13) $15.00 against Kimi K2 0711 $2.30 per million output tokens, 6.5x apart.
Context window
GPT-4o (2024-05-13) takes 128K tokens, Kimi K2 0711 131K.

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 0711Ties
Coding01
Intelligence01
Reasoning03
Knowledge01
All shared boards06
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for GPT-4o (2024-05-13) and Kimi K2 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
Aider polyglotNot measured59.1%Only Kimi K2 0711 measured
SWE-bench VerifiedNot measured71.2%Only Kimi K2 0711 measured
AA Coding Index24.2Not measuredOnly GPT-4o (2024-05-13) measured
LiveCodeBench (Vals AI)Not measured70.5%Only Kimi K2 0711 measured
LiveCodeBench (Artificial Analysis run)33.4%55.6%Kimi K2 0711
Terminal-Bench Hard (Artificial Analysis run)Not measured15.9%Only Kimi K2 0711 measured
Terminal-BenchNot measured27.8%Only Kimi K2 0711 measured
GSO-BenchNot measured4.9%Only Kimi K2 0711 measured
WeirdMLNot measured39.4%Only Kimi K2 0711 measured
LMArena Text: coding1297Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: software and IT1297Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 28 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 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
AA Intelligence Index7.312.7Kimi K2 0711
Epoch Capabilities IndexNot measured140.0Only Kimi K2 0711 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4o (2024-05-13) and Kimi K2 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
τ²-Bench TelecomNot measured61.1%Only Kimi K2 0711 measured
METR time horizons40.8%Not measuredOnly GPT-4o (2024-05-13) measured
BALROG32.3%Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GPT-4o (2024-05-13) and Kimi K2 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
GPQA Diamond50.2%71.5%Kimi K2 0711
GPQA Diamond (Artificial Analysis run)52.6%76.6%Kimi K2 0711
Humanity's Last Exam (Artificial Analysis run)1.8%7.4%Kimi K2 0711
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4o (2024-05-13) measured
SimpleBenchNot measured26.3%Only Kimi K2 0711 measured
LMArena Text: hard prompts1281Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: expert1250Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: hard prompts in English1293Not measuredOnly GPT-4o (2024-05-13) measured
Kagi LLM BenchmarkNot measured64.4%Only Kimi K2 0711 measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Math benchmarks for GPT-4o (2024-05-13) and Kimi K2 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
AIMENot measured62.7%Only Kimi K2 0711 measured
MATH 500 (Vals AI)Not measured94.2%Only Kimi K2 0711 measured
MGSM (Vals AI)Not measured91.0%Only Kimi K2 0711 measured
AA Math IndexNot measured57.0Only Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)Not measured57.0%Only Kimi K2 0711 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: math1284Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: mathematical work1284Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for GPT-4o (2024-05-13) and Kimi K2 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
MMLU ProNot measured79.4%Only Kimi K2 0711 measured
LegalBench (Vals AI)Not measured81.5%Only Kimi K2 0711 measured
CorpFin (Vals AI)Not measured50.4%Only Kimi K2 0711 measured
TaxEval (Vals AI)Not measured70.2%Only Kimi K2 0711 measured
MedQA (Vals AI)Not measured84.0%Only Kimi K2 0711 measured
MMLU Pro (Artificial Analysis run)74.0%82.4%Kimi K2 0711
MMLU84.2%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: science1295Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: medicine and healthcare1278Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: legal and government1314Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: business and finance1262Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for GPT-4o (2024-05-13) and Kimi K2 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
Design Arena: websitesNot measured1050Only Kimi K2 0711 measured
Design Arena: UI componentsNot measured1027Only Kimi K2 0711 measured
Design Arena: game devNot measured973Only Kimi K2 0711 measured
Design Arena: data vizNot measured1018Only Kimi K2 0711 measured
Design Arena: all code categoriesNot measured1033Only Kimi K2 0711 measured
Neither model has a result on the other 4 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
General benchmarks for GPT-4o (2024-05-13) and Kimi K2 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
IFBenchNot measured41.5%Only Kimi K2 0711 measured
Long context reasoning (AA-LCR)Not measured53.0%Only Kimi K2 0711 measured
Fiction.LiveBenchNot measured61.1%Only Kimi K2 0711 measured
Creative writing (Lech Mazur)Not measured85.6%Only Kimi K2 0711 measured
CL-benchNot measured11.9%Only Kimi K2 0711 measured
LMArena Text1300Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: instruction following1278Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: creative writing1291Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision1137Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: English1312Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: non-English1283Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Chinese1277Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: German1283Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Japanese1257Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Korean1234Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: French1304Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Spanish1292Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Russian1285Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Polish1365Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: multi-turn1302Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: longer queries1288Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: writing and language1298Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: entertainment and media1289Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision: English1147Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision: Chinese1132Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 21 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 0711
BenchmarkGPT-4o (2024-05-13)Kimi K2 0711Leader
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 0711$0.0017Fits in one request

Kimi K2 0711 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
Kimi K2 0711$0.035Fits in one request

Kimi K2 0711 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
Kimi K2 0711$0.137Exceeds the context window

Kimi K2 0711 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 0711
SpecificationOpenAI GPT-4o (2024-05-13)MoonshotAI Kimi K2 0711
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedMay 13, 2024July 11, 2025
Context window128K131K
Input $/Mtok$5.00$0.57
Output $/Mtok$15.00$2.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-05-13) better than Kimi K2 0711 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-05-13) for work measured by LiveCodeBench (Artificial Analysis run) or AA Intelligence Index, where it leads.

Which is cheaper, GPT-4o (2024-05-13) or Kimi K2 0711?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-05-13) or Kimi K2 0711?

Kimi K2 0711, with 131K tokens against 128K.

How many benchmarks is the GPT-4o (2024-05-13) vs Kimi K2 0711 comparison based on?

6 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 0711's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next