Model comparison

DeepSeek V4.1 Flash vs Kimi K2.7 Code

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.3 on the Noometry Index.

Last verified . 11 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Summary

  • They share 11 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 5 categories and Kimi K2.7 Code in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 52.9.
  • The biggest single-benchmark swing is FrontierMath Tier 4: 26.8% for DeepSeek V4.1 Flash and 12.2% for Kimi K2.7 Code.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 Flash and Kimi K2.7 Code specifications
DeepSeek V4.1 FlashKimi K2.7 Code
ProviderDeepSeekMoonshot AI
Noometry Index52.843.3
Released2026-09-092026-06-12
WeightsOpenOpen
Context window1M262K
Max output393K262K
Input $ / M tokens$0.15$0.95
Output $ / M tokens$0.60$4
Results tracked3719

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Kimi K2.7 Code: 42.9 (#95)

Coding benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
LMArena WebDev16191473
SciCode51.9%47.5%
ALE-Bench1,092886.23
DeepSWE—30.5%
FrontierCode—30.1%
WeirdML—54.1%
LMArena Coding1506—

Agentic & Tool Use DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 31.2 (#69), Kimi K2.7 Code: 24.0 (#122)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
APEX-Agents39.5%37.6%
GBAEval—0.9%
GDP.pdf19.8%—
Vending-Bench 2—5,083

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Kimi K2.7 Code: 39.0 (#61)

Reasoning benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
CritPt14.3%10%
Surface Evolver Bench46.3%48.8%
Epoch Capabilities Index154.9149.97
SimpleBench—57.9%
NYT Connections (extended)89.6%—
Chess Puzzles—21%
LMArena Hard Prompts1483—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Kimi K2.7 Code: 52.9 (#48)

Math benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
FrontierMath (Tiers 1-3)67.4%54%
FrontierMath Tier 426.8%12.2%
OTIS Mock AIME 2024-202598.3%95.6%
ProofBench54%—
LMArena Math1477—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Kimi K2.7 Code: 53.5 (#57)

Knowledge benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
GPQA Diamond89.8%87.9%
SimpleQA Verified—36.5%
LMArena Expert1506—

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Kimi K2.7 Code: —

Multimodal benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.0 (#35), Kimi K2.7 Code: —

Multilingual benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
LMArena Non-English1448—
LMArena Chinese1497—
LMArena French1452—
LMArena German1484—
LMArena Japanese1412—
LMArena Korean1452—
LMArena Russian1471—
LMArena Spanish1459—

Instruction Following Not comparable

DeepSeek V4.1 Flash: 77.3 (#26), Kimi K2.7 Code: —

Instruction Following benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
LMArena Instruction Following1474—

Long Context Not comparable

DeepSeek V4.1 Flash: 45.2 (#47), Kimi K2.7 Code: —

Long Context benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
LMArena Longer Query1475—

Writing & Preference Not comparable

DeepSeek V4.1 Flash: 65.4 (#48), Kimi K2.7 Code: —

Writing & Preference benchmarks
BenchmarkDeepSeek V4.1 FlashKimi K2.7 Code
LMArena Text1462—
LMArena Creative Writing1435—
EQ-Bench Creative Writing1540—
LMArena Multi-Turn1457—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Kimi K2.7 Code?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.3 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Kimi K2.7 Code?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Is DeepSeek V4.1 Flash or Kimi K2.7 Code better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 42.9 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 262K.

How many benchmarks do DeepSeek V4.1 Flash and Kimi K2.7 Code share?

11 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Kimi K2.7 Code has 19.

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