Noometry

Model comparison

GPT-5.3 Chat vs Kimi K2.7 Code

GPT-5.3 Chat and Kimi K2.7 Code score almost the same on the Noometry Index (42.8 vs 43.3), so choose on price, context window or the category you care about most.

Last verified . 0 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Summary

  • The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 38.2.
  • Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Kimi K2.7 Code accepts more context: 262K tokens versus 128K.
  • Kimi K2.7 Code has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatKimi K2.7 Code
ProviderOpenAIMoonshot AI
Noometry Index42.843.3
Released2026-03-032026-06-12
WeightsProprietaryOpen
Context window128K262K
Max output16K262K
Input $ / M tokens$1.75$0.95
Output $ / M tokens$14$4
Results tracked1819

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Category by category

Coding Kimi K2.7 Code leads

GPT-5.3 Chat: 41.4 (#124), Kimi K2.7 Code: 42.9 (#95)

BenchmarkGPT-5.3 ChatKimi K2.7 Code
DeepSWE—30.5%
FrontierCode—30.1%
LMArena WebDev—1473
SciCode—47.5%
WeirdML—54.1%
LMArena Coding1408—
ALE-Bench—886.23

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Kimi K2.7 Code: 24.0 (#122)

BenchmarkGPT-5.3 ChatKimi K2.7 Code
APEX-Agents—37.6%
GBAEval—0.9%
Vending-Bench 2—5,083

Reasoning Kimi K2.7 Code leads

GPT-5.3 Chat: 28.5 (#102), Kimi K2.7 Code: 39.0 (#61)

BenchmarkGPT-5.3 ChatKimi K2.7 Code
SimpleBench—57.9%
CritPt—10%
Chess Puzzles—21%
LMArena Hard Prompts1399—
Surface Evolver Bench—48.8%
Epoch Capabilities Index—149.97

Math Kimi K2.7 Code leads

GPT-5.3 Chat: 38.2 (#142), Kimi K2.7 Code: 52.9 (#48)

BenchmarkGPT-5.3 ChatKimi K2.7 Code
FrontierMath (Tiers 1-3)—54%
FrontierMath Tier 4—12.2%
OTIS Mock AIME 2024-2025—95.6%
LMArena Math1389—

Knowledge Kimi K2.7 Code leads

GPT-5.3 Chat: 38.8 (#140), Kimi K2.7 Code: 53.5 (#57)

BenchmarkGPT-5.3 ChatKimi K2.7 Code
GPQA Diamond—87.9%
SimpleQA Verified—36.5%
LMArena Expert1397—

Multilingual Not comparable

GPT-5.3 Chat: 50.3 (#124), Kimi K2.7 Code: —

BenchmarkGPT-5.3 ChatKimi K2.7 Code
LMArena Non-English1382—
LMArena Chinese1432—
LMArena French1397—
LMArena German1384—
LMArena Japanese1352—
LMArena Korean1346—
LMArena Russian1400—
LMArena Spanish1371—

Instruction Following Not comparable

GPT-5.3 Chat: 72.8 (#129), Kimi K2.7 Code: —

BenchmarkGPT-5.3 ChatKimi K2.7 Code
LMArena Instruction Following1378—

Long Context Not comparable

GPT-5.3 Chat: 42.6 (#120), Kimi K2.7 Code: —

BenchmarkGPT-5.3 ChatKimi K2.7 Code
LMArena Longer Query1396—

Writing & Preference Not comparable

GPT-5.3 Chat: 63.1 (#68), Kimi K2.7 Code: —

BenchmarkGPT-5.3 ChatKimi K2.7 Code
LMArena Text1389—
LMArena Creative Writing1355—
EQ-Bench Creative Writing1690—
LMArena Multi-Turn1412—

Frequently asked questions

Is GPT-5.3 Chat better than Kimi K2.7 Code?

GPT-5.3 Chat and Kimi K2.7 Code score almost the same on the Noometry Index (42.8 vs 43.3), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-5.3 Chat or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Kimi K2.7 Code better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Kimi K2.7 Code share?

0 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Kimi K2.7 Code has 19.

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