Noometry

Model comparison

GPT-4.1 nano vs Kimi K2.7 Code

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.9 on the Noometry Index. GPT-4.1 nano costs 9.8× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

Last verified . 7 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Summary

  • They share 7 benchmarks with published results for both. GPT-4.1 nano scores higher in 1 category and Kimi K2.7 Code in 4 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 21.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 28.9% for GPT-4.1 nano and 95.6% for Kimi K2.7 Code.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 262K.
  • Kimi K2.7 Code has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoKimi K2.7 Code
ProviderOpenAIMoonshot AI
Noometry Index27.943.3
Released2025-04-142026-06-12
WeightsProprietaryOpen
Context window1.05M262K
Max output33K262K
Input $ / M tokens$0.10$0.95
Output $ / M tokens$0.40$4
Results tracked3819

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Category by category

Coding Kimi K2.7 Code leads

GPT-4.1 nano: 24.1 (#330), Kimi K2.7 Code: 42.9 (#95)

BenchmarkGPT-4.1 nanoKimi K2.7 Code
SciCode25.9%47.5%
WeirdML19%54.1%
DeepSWE—30.5%
FrontierCode—30.1%
Aider Polyglot8.9%—
LMArena WebDev—1473
LMArena Coding1306—
ALE-Bench—886.23

Agentic & Tool Use GPT-4.1 nano leads

GPT-4.1 nano: 26.5 (#104), Kimi K2.7 Code: 24.0 (#122)

BenchmarkGPT-4.1 nanoKimi K2.7 Code
APEX-Agents—37.6%
Berkeley Function Calling Leaderboard33%—
GBAEval—0.9%
Vending-Bench 2—5,083

Reasoning Kimi K2.7 Code leads

GPT-4.1 nano: 8.5 (#349), Kimi K2.7 Code: 39.0 (#61)

BenchmarkGPT-4.1 nanoKimi K2.7 Code
CritPt0%10%
Epoch Capabilities Index129.62149.97
ARC-AGI-20%—
SimpleBench—57.9%
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
Chess Puzzles—21%
LMArena Hard Prompts1286—
DTBench52.5%—
LMCA5.5%—
Surface Evolver Bench—48.8%

Math Kimi K2.7 Code leads

GPT-4.1 nano: 26.9 (#252), Kimi K2.7 Code: 52.9 (#48)

BenchmarkGPT-4.1 nanoKimi K2.7 Code
OTIS Mock AIME 2024-202528.9%95.6%
FrontierMath (Tiers 1-3)—54%
FrontierMath Tier 4—12.2%
Omni-MATH36.7%—
LMArena Math1274—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge Kimi K2.7 Code leads

GPT-4.1 nano: 21.8 (#273), Kimi K2.7 Code: 53.5 (#57)

BenchmarkGPT-4.1 nanoKimi K2.7 Code
GPQA Diamond48.9%87.9%
SimpleQA Verified6%36.5%
MMLU-Pro55%—
GPQA (HELM)50.7%—
LMArena Expert1272—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Kimi K2.7 Code: —

BenchmarkGPT-4.1 nanoKimi K2.7 Code
LMArena Vision1063—

Multilingual Not comparable

GPT-4.1 nano: 41.6 (#205), Kimi K2.7 Code: —

BenchmarkGPT-4.1 nanoKimi K2.7 Code
LMArena Non-English1260—
LMArena Chinese1270—
LMArena German1288—
LMArena Japanese1198—
LMArena Russian1261—

Instruction Following Not comparable

GPT-4.1 nano: 67.8 (#193), Kimi K2.7 Code: —

BenchmarkGPT-4.1 nanoKimi K2.7 Code
IFEval84.3%—
LMArena Instruction Following1267—

Long Context Not comparable

GPT-4.1 nano: 23.7 (#296), Kimi K2.7 Code: —

BenchmarkGPT-4.1 nanoKimi K2.7 Code
Fiction.LiveBench25%—
LMArena Longer Query1283—

Writing & Preference Not comparable

GPT-4.1 nano: 40.5 (#243), Kimi K2.7 Code: —

BenchmarkGPT-4.1 nanoKimi K2.7 Code
LMArena Text1285—
LMArena Creative Writing1260—
EQ-Bench Creative Writing946—
WildBench81.2%—
LMArena Multi-Turn1277—

Frequently asked questions

Is GPT-4.1 nano better than Kimi K2.7 Code?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.9 on the Noometry Index. GPT-4.1 nano costs 9.8× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 nano or Kimi K2.7 Code?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Is GPT-4.1 nano or Kimi K2.7 Code better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 262K.

How many benchmarks do GPT-4.1 nano and Kimi K2.7 Code share?

7 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Kimi K2.7 Code has 19.

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