LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

GPT-4o (2024-08-06) vs Kimi K2 0711

Updated October 21, 2026. 18 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-4o (2024-08-06)OpenAI
Coding
23.1
Overall
7.7
Output $/M
$10.00
2
Kimi K2 0711Moonshot AI
Coding
64.7
Overall
12.7
Output $/M
$2.30
16
vs boards won of 18 shared

Decision reading

Pick Kimi K2 0711 for coding: it scores 64.7 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06).

Pick GPT-4o (2024-08-06) when what matters is TaxEval (Vals AI) or MedQA (Vals AI), where it leads.

Shared results
18
GPT-4o (2024-08-06) only
40
Kimi K2 0711 only
18
Like-for-like categories
7 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 (2024-08-06) 23.1 from 1 benchmark, Kimi K2 0711 64.7 from 2 benchmarks.
Widest category
Agentic work, 32.2 points apart on average over 1 shared benchmark.
Widest single gap
AIME: GPT-4o (2024-08-06) 14.0% against Kimi K2 0711 62.7%, 48.8 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Kimi K2 0711 $2.30 per million output tokens, 4.3x apart.
Context window
GPT-4o (2024-08-06) 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 (2024-08-06)BarsKimi K2 0711Ties
Coding03
Intelligence01
Agentic work01
Reasoning03
Math03
Knowledge23
General02
All shared boards216
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4o (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)Kimi K2 0711Leader
Aider polyglot23.1%59.1%Kimi K2 0711
SWE-bench VerifiedNot measured71.2%Only Kimi K2 0711 measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LiveCodeBench (Vals AI)Not measured70.5%Only Kimi K2 0711 measured
LiveCodeBench (Artificial Analysis run)31.7%55.6%Kimi K2 0711
Terminal-Bench Hard (Artificial Analysis run)8.3%15.9%Kimi K2 0711
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: coding1283Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: software and IT1278Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)Kimi K2 0711Leader
AA Intelligence Index7.712.7Kimi K2 0711
Epoch Capabilities IndexNot measured140.0Only Kimi K2 0711 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4o (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)Kimi K2 0711Leader
τ²-Bench Telecom28.9%61.1%Kimi K2 0711
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 (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)Kimi K2 0711Leader
GPQA DiamondNot measured71.5%Only Kimi K2 0711 measured
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%76.6%Kimi K2 0711
Humanity's Last Exam (Artificial Analysis run)2.3%7.4%Kimi K2 0711
GPQA Diamond (Epoch AI run)49.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleBench17.8%26.3%Kimi K2 0711
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts1264Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: expert1241Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts in English1277Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4o (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)Kimi K2 0711Leader
AIME14.0%62.7%Kimi K2 0711
MATH 500 (Vals AI)75.2%94.2%Kimi K2 0711
MGSM (Vals AI)90.7%91.0%Kimi K2 0711
AA Math IndexNot measured57.0Only Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)Not measured57.0%Only Kimi K2 0711 measured
OTIS Mock AIME6.4%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math1285Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: mathematical work1283Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for GPT-4o (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)Kimi K2 0711Leader
MMLU Pro74.1%79.4%Kimi K2 0711
LegalBench (Vals AI)80.1%81.5%Kimi K2 0711
CorpFin (Vals AI)39.4%50.4%Kimi K2 0711
TaxEval (Vals AI)71.1%70.2%GPT-4o (2024-08-06)
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%84.0%GPT-4o (2024-08-06)
MMLU Pro (Artificial Analysis run)Not measured82.4%Only Kimi K2 0711 measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science1274Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: medicine and healthcare1252Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: legal and government1275Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: business and finance1232Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)Kimi K2 0711Leader
Design Arena: websitesNot measured1050Only Kimi K2 0711 measured
Design Arena: UI componentsNot measured1030Only Kimi K2 0711 measured
Design Arena: game devNot measured974Only Kimi K2 0711 measured
Design Arena: data vizNot measured1018Only Kimi K2 0711 measured
Design Arena: all code categoriesNot measured1034Only Kimi K2 0711 measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for GPT-4o (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)Kimi K2 0711Leader
IFBench36.0%41.5%Kimi K2 0711
Long context reasoning (AA-LCR)41.0%53.0%Kimi K2 0711
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 Text1283Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: instruction following1267Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: creative writing1274Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English1297Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: non-English1262Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Chinese1254Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: German1257Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Japanese1234Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Korean1218Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: French1263Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Spanish1269Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Russian1272Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: multi-turn1279Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: longer queries1283Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: writing and language1290Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: entertainment and media1267Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and Kimi K2 0711
BenchmarkGPT-4o (2024-08-06)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 (2024-08-06)$0.0075Fits 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 (2024-08-06)$0.155Fits 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 (2024-08-06)$0.600Exceeds 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 (2024-08-06) and Kimi K2 0711
SpecificationOpenAI GPT-4o (2024-08-06)MoonshotAI Kimi K2 0711
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024July 11, 2025
Context window128K131K
Input $/Mtok$2.50$0.57
Output $/Mtok$10.00$2.30
Coding index23.164.7
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than Kimi K2 0711 for coding?

Pick Kimi K2 0711 for coding: it scores 64.7 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06). Pick GPT-4o (2024-08-06) when what matters is TaxEval (Vals AI) or MedQA (Vals AI), where it leads.

Which is cheaper, GPT-4o (2024-08-06) or Kimi K2 0711?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 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 (2024-08-06) or Kimi K2 0711?

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

How many benchmarks is the GPT-4o (2024-08-06) vs Kimi K2 0711 comparison based on?

18 benchmarks have a result for both models as of October 21, 2026. GPT-4o (2024-08-06)'s coding index rests on 1 independent benchmark and Kimi K2 0711's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next