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GPT-5.3-Codex vs Kimi K2 0711

GPT-5.3-Codex leads Kimi K2 0711 on the Artificial Analysis Intelligence Index, 32.5 to 12.7, and Kimi K2 0711 costs 6.1x less per output token ($2.30 vs $14.00 per million). Updated October 22, 2026; 16 benchmarks have a result for both.

Replace GPT-5.3-Codex Replace Kimi K2 0711
GPT-5.3-CodexOpenAI
Coding
60.0
Overall
No data
Output $/M
$14.00
16
Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
0
vs boards won of 16 shared

GPT-5.3-Codex or Kimi K2 0711: which to pick

Only GPT-5.3-Codex has a coding score, 60.0 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding.

Pick Kimi K2 0711 for output tokens 6.1x cheaper ($2.30 vs $14.00 per million).

Model AGPT-5.3-CodexOpenAI60.0/1003 independent benchmarks$0.59 per solved taskModel BKimi K2 0711Moonshot AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
16
GPT-5.3-Codex only
18
Kimi K2 0711 only
21
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-5.3-Codex 60.0 from 3 benchmarks, Kimi K2 0711 not benchmarked.
Widest category
Coding, 36.1 points apart on average over 4 shared benchmarks.
Widest single gap
Terminal-Bench: GPT-5.3-Codex 78.4% against Kimi K2 0711 27.8%, 50.6 points apart on a 0 to 100 scale.
Output price
GPT-5.3-Codex $14.00 against Kimi K2 0711 $2.30 per million output tokens, 6.1x apart.
Context window
GPT-5.3-Codex takes 400K 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-5.3-CodexBarsKimi K2 0711Ties
Coding40
Intelligence20
Agentic work10
Reasoning20
Web design50
General20
All shared boards160
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi K2 0711Leader
Aider polyglotNot measured59.1%Only Kimi K2 0711 measured
SWE-bench VerifiedNot measured71.2%Only Kimi K2 0711 measured
LMArena WebDev1407Not measuredOnly GPT-5.3-Codex measured
LiveCodeBench (Vals AI)87.3%70.5%GPT-5.3-Codex
SWE-bench Verified (Vals AI)78.0%Not measuredOnly GPT-5.3-Codex measured
Vibe Code Bench (Vals AI)61.8%Not measuredOnly GPT-5.3-Codex measured
IOI (Vals AI)53.8%Not measuredOnly GPT-5.3-Codex measured
LiveCodeBench (Artificial Analysis run)Not measured55.6%Only Kimi K2 0711 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%15.9%GPT-5.3-Codex
Terminal-Bench78.4%27.8%GPT-5.3-Codex
GSO-BenchNot measured4.9%Only Kimi K2 0711 measured
WeirdML79.3%39.4%GPT-5.3-Codex
ALE-Bench1655.2Not measuredOnly GPT-5.3-Codex measured
LMArena WebDev: React1395Not measuredOnly GPT-5.3-Codex measured
LMArena WebDev: HTML1422Not measuredOnly GPT-5.3-Codex measured
LMArena WebDev: from an image1443Not measuredOnly GPT-5.3-Codex measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi K2 0711Leader
AA Intelligence Index32.512.7GPT-5.3-Codex
Epoch Capabilities Index157.1140.0GPT-5.3-Codex
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi K2 0711Leader
Design Arena: agents building web apps1032Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building full-stack apps983Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building mobile apps1053Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building Android apps1084Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building Godot games1124Not measuredOnly GPT-5.3-Codex measured
τ²-Bench Telecom86.0%61.1%GPT-5.3-Codex
METR time horizons74.5%Not measuredOnly GPT-5.3-Codex measured
Vending-Bench 2$5,940Not measuredOnly GPT-5.3-Codex measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi K2 0711Leader
GPQA DiamondNot measured71.5%Only Kimi K2 0711 measured
GPQA Diamond (Artificial Analysis run)91.5%76.6%GPT-5.3-Codex
Humanity's Last Exam (Artificial Analysis run)42.5%7.4%GPT-5.3-Codex
SimpleBenchNot measured26.3%Only Kimi K2 0711 measured
Kagi LLM BenchmarkNot measured64.4%Only Kimi K2 0711 measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi 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
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi 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)Not measured82.4%Only Kimi K2 0711 measured
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi K2 0711Leader
Design Arena: websites11621050GPT-5.3-Codex
Design Arena: UI components11341027GPT-5.3-Codex
Design Arena: game dev1161973GPT-5.3-Codex
Design Arena: data viz11641018GPT-5.3-Codex
Design Arena: 3D1007Not measuredOnly GPT-5.3-Codex measured
Design Arena: all code categories11441033GPT-5.3-Codex
Design Arena: SVG1129Not measuredOnly GPT-5.3-Codex measured
Design Arena: ASCII art1152Not measuredOnly GPT-5.3-Codex measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi K2 0711Leader
IFBench75.4%41.5%GPT-5.3-Codex
Long context reasoning (AA-LCR)83.3%53.0%GPT-5.3-Codex
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
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.3-Codex and Kimi K2 0711
BenchmarkGPT-5.3-CodexKimi 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-5.3-Codex$0.0088Fits in one request
Kimi K2 0711$0.0017Fits in one request

Kimi K2 0711 costs less

Repository review

50K input + 3K output tokens

GPT-5.3-Codex$0.130Fits in one request
Kimi K2 0711$0.035Fits in one request

Kimi K2 0711 costs less

Agent loop

200K input + 10K output tokens

GPT-5.3-Codex$0.490Fits in one request
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-5.3-Codex and Kimi K2 0711
SpecificationOpenAI GPT-5.3-CodexMoonshotAI Kimi K2 0711
MakerOpenAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedFebruary 24, 2026July 11, 2025
Context window400K131K
Input $/Mtok$1.75$0.57
Output $/Mtok$14.00$2.30
Coding index60.0Not benchmarked
Independent measurements behind it30
Cost per solved task$0.59Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.3-Codex better than Kimi K2 0711 for coding?

Only GPT-5.3-Codex has a coding score, 60.0 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding. Pick Kimi K2 0711 for output tokens 6.1x cheaper ($2.30 vs $14.00 per million).

Which is cheaper, GPT-5.3-Codex or Kimi K2 0711?

GPT-5.3-Codex costs $1.75 per million input tokens and $14.00 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for GPT-5.3-Codex only.

Which has the bigger context window, GPT-5.3-Codex or Kimi K2 0711?

GPT-5.3-Codex, with 400K tokens against 131K.

How many benchmarks is the GPT-5.3-Codex vs Kimi K2 0711 comparison based on?

16 benchmarks have a result for both models as of October 22, 2026. GPT-5.3-Codex's coding index rests on 3 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.

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