Noometry

Model comparison

Inkling-Small vs Kimi K2.7 Code

Inkling-Small is the stronger model overall, scoring 46.5 to 43.0 on the Noometry Index.

Last verified . 10 shared benchmarks.

Inkling-Small Thinking Machines Lab

46.5

Rank #57 Confirmed

Kimi K2.7 Code Moonshot AI

43.0

Rank #90 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Inkling-Small scores higher in 2 categories and Kimi K2.7 Code in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where Kimi K2.7 Code leads 52.6 to 44.9.
  • The biggest single-benchmark swing is SimpleQA Verified: 19.1% for Inkling-Small and 36.5% for Kimi K2.7 Code.
  • Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • Inkling-Small accepts more context: 524K tokens versus 262K.

Side by side

Inkling-SmallKimi K2.7 Code
ProviderThinking Machines LabMoonshot AI
Noometry Index46.543.0
Released2026-07-152026-06-12
WeightsOpenOpen
Context window524K262K
Max output1.05M262K
Input $ / M tokens$0.45$0.95
Output $ / M tokens$1.20$4
Results tracked3319

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Category by category

Coding Too close to call

Inkling-Small: 43.3 (#80), Kimi K2.7 Code: 42.4 (#92)

BenchmarkInkling-SmallKimi K2.7 Code
LMArena WebDev14081473
SciCode48.7%47.5%
DeepSWE—30.5%
FrontierCode—30.1%
WeirdML—54.1%
LMArena Coding1451—
ALE-Bench—886.23

Agentic & Tool Use Not comparable

Inkling-Small: —, Kimi K2.7 Code: 23.9 (#115)

BenchmarkInkling-SmallKimi K2.7 Code
APEX-Agents—37.6%
GBAEval—0.9%
Vending-Bench 2—5,083

Reasoning Too close to call

Inkling-Small: 39.0 (#53), Kimi K2.7 Code: 38.2 (#56)

BenchmarkInkling-SmallKimi K2.7 Code
CritPt8.3%10%
Chess Puzzles18%21%
Epoch Capabilities Index150.13150.01
ARC-AGI-240.1%—
SimpleBench—57.9%
ARC-AGI-184%—
LMArena Hard Prompts1424—
Mystery Game Puzzles6%—
Surface Evolver Bench—48.8%

Math Kimi K2.7 Code leads

Inkling-Small: 44.9 (#65), Kimi K2.7 Code: 52.6 (#39)

BenchmarkInkling-SmallKimi K2.7 Code
FrontierMath (Tiers 1-3)46.3%54%
FrontierMath Tier 417.1%12.2%
OTIS Mock AIME 2024-202590%95.6%
ProofBench6%—
LMArena Math1453—

Knowledge Kimi K2.7 Code leads

Inkling-Small: 48.3 (#71), Kimi K2.7 Code: 53.6 (#51)

BenchmarkInkling-SmallKimi K2.7 Code
GPQA Diamond88.5%87.9%
SimpleQA Verified19.1%36.5%
LMArena Expert1442—

Multimodal Not comparable

Inkling-Small: 38.4 (#59), Kimi K2.7 Code: —

BenchmarkInkling-SmallKimi K2.7 Code
LMArena Vision1235—

Multilingual Not comparable

Inkling-Small: 51.7 (#102), Kimi K2.7 Code: —

BenchmarkInkling-SmallKimi K2.7 Code
LMArena Non-English1400—
LMArena Chinese1458—
LMArena French1438—
LMArena German1412—
LMArena Japanese1399—
LMArena Korean1355—
LMArena Russian1392—
LMArena Spanish1426—

Instruction Following Not comparable

Inkling-Small: 73.9 (#112), Kimi K2.7 Code: —

BenchmarkInkling-SmallKimi K2.7 Code
LMArena Instruction Following1397—

Long Context Not comparable

Inkling-Small: 42.7 (#113), Kimi K2.7 Code: —

BenchmarkInkling-SmallKimi K2.7 Code
LMArena Longer Query1401—

Writing & Preference Not comparable

Inkling-Small: 59.8 (#102), Kimi K2.7 Code: —

BenchmarkInkling-SmallKimi K2.7 Code
LMArena Text1413—
LMArena Creative Writing1330—
EQ-Bench Creative Writing1491—
LMArena Multi-Turn1420—

Frequently asked questions

Is Inkling-Small better than Kimi K2.7 Code?

Inkling-Small is the stronger model overall, scoring 46.5 to 43.0 on the Noometry Index.

Which is cheaper, Inkling-Small or Kimi K2.7 Code?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Is Inkling-Small or Kimi K2.7 Code better for coding?

They score almost the same on coding (43.3 vs 42.4); test both on your own repository before choosing.

Which has the bigger context window?

Inkling-Small does, with 524K tokens against 262K.

How many benchmarks do Inkling-Small and Kimi K2.7 Code share?

10 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Kimi K2.7 Code has 19.

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