Model comparison

Gemini 2.5 Pro vs Kimi K2.7 Code

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.0× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 13 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 2 categories and Kimi K2.7 Code in 3 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 32.5.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 24.6% for Gemini 2.5 Pro and 54% for Kimi K2.7 Code.
  • Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro accepts more context: 1.05M tokens versus 262K.
  • Kimi K2.7 Code has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Pro and Kimi K2.7 Code specifications
Gemini 2.5 ProKimi K2.7 Code
ProviderGoogleMoonshot AI
Noometry Index45.043.3
Released2025-03-252026-06-12
WeightsProprietaryOpen
Context window1.05M262K
Max output66K262K
Input $ / M tokens$1.25$0.95
Output $ / M tokens$10$4
Results tracked7819

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Too close to call

Gemini 2.5 Pro: 42.4 (#101), Kimi K2.7 Code: 42.9 (#95)

Coding benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
LMArena WebDev12271473
SciCode42.8%47.5%
WeirdML54%54.1%
ALE-Bench785.52886.23
SWE-bench Verified57.6%—
DeepSWE—30.5%
FrontierCode—30.1%
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
GSO3.9%—
LiveBench Coding85.9%—
LMArena Coding1452—
CadEval64%—
AlgoTune1.51—

Agentic & Tool Use Gemini 2.5 Pro leads

Gemini 2.5 Pro: 29.2 (#88), Kimi K2.7 Code: 24.0 (#122)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
Vending-Bench 2573.645,083
Terminal-Bench32.6%—
APEX-Agents—37.6%
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
BALROG43.3%—
GBAEval—0.9%
LMArena Search1142—
METR Time Horizons55.4%—

Reasoning Kimi K2.7 Code leads

Gemini 2.5 Pro: 28.8 (#99), Kimi K2.7 Code: 39.0 (#61)

Reasoning benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
SimpleBench62.4%57.9%
CritPt2%10%
Chess Puzzles20%21%
Epoch Capabilities Index145.32149.97
ARC-AGI-24.9%—
Kagi LLM Benchmark70.3%—
ARC-AGI-141%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
LMArena Hard Prompts1455—
DTBench82.4%—
LiveBench Data Analysis79.9%—
LMCA34.8%—
Surface Evolver Bench—48.8%
ForecastBench61.3—
LiveBench82.3%—

Math Kimi K2.7 Code leads

Gemini 2.5 Pro: 32.5 (#213), Kimi K2.7 Code: 52.9 (#48)

Math benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
FrontierMath (Tiers 1-3)24.6%54%
FrontierMath Tier 40%12.2%
OTIS Mock AIME 2024-202584.7%95.6%
Omni-MATH41.6%—
LiveBench Math90.2%—
LMArena Math1450—
MATH Level 595.9%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), Kimi K2.7 Code: 53.5 (#57)

Knowledge benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
GPQA Diamond85.3%87.9%
Humanity's Last Exam21.6%—
SimpleQA Verified—36.5%
MMLU-Pro86.3%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
GPQA (HELM)74.9%—
LMArena Expert1452—

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), Kimi K2.7 Code: —

Multimodal benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Not comparable

Gemini 2.5 Pro: 55.3 (#31), Kimi K2.7 Code: —

Multilingual benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
LMArena Non-English1451—
LMArena Chinese1507—
LMArena French1472—
LMArena German1487—
LMArena Japanese1461—
LMArena Korean1434—
LMArena Russian1461—
LMArena Spanish1473—

Instruction Following Not comparable

Gemini 2.5 Pro: 75.0 (#75), Kimi K2.7 Code: —

Instruction Following benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
LiveBench Instruction Following80.6%—
IFEval84%—
LMArena Instruction Following1437—

Long Context Not comparable

Gemini 2.5 Pro: 59.8 (#5), Kimi K2.7 Code: —

Long Context benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
Fiction.LiveBench91.7%—
LMArena Longer Query1449—

Writing & Preference Not comparable

Gemini 2.5 Pro: 63.7 (#62), Kimi K2.7 Code: —

Writing & Preference benchmarks
BenchmarkGemini 2.5 ProKimi K2.7 Code
LMArena Text1458—
LMArena Creative Writing1454—
Short-Story Creative Writing83.8%—
EQ-Bench Creative Writing1421—
WildBench85.7%—
LMArena Multi-Turn1453—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Kimi K2.7 Code?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.0× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Pro 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; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Kimi K2.7 Code better for coding?

They score almost the same on coding (42.4 vs 42.9); test both on your own repository before choosing.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 262K.

How many benchmarks do Gemini 2.5 Pro and Kimi K2.7 Code share?

13 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Kimi K2.7 Code has 19.

Related comparisons

Go deeper