GoogleGemini 2.5 ProVSMoonshot AI (Kimi)Kimi K2.7 Code

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend Kimi K2.7 Code for superior overall value and reasoning capabilities, as it is cheaper or equal in cost while delivering peak intelligence. While Kimi K2.7 Code excels at complex complex codebases, multi-file repositories, and architectural planning, Gemini 2.5 Pro is suited for scripting multi-file code and clearly defined tasks. Choose Kimi K2.7 Code for architectural codebase planning, or Gemini 2.5 Pro if you specifically require its simpler functions profile.

▶WHY?

Benchmark Calculations & Evidence:

Coding Evaluation: Gemini 2.5 Pro was evaluated on SWE-bench Verified (scoring 59.6%), while Kimi K2.7 Code was evaluated on SWE-bench Pro (scoring 58.6%).

Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Kimi K2.7 Code scored 90%, while Gemini 2.5 Pro scored 84.4%.

Cost Efficiency: Gemini 2.5 Pro pricing ($1.25/M input, $10/M output) is 0.5x cheaper than Kimi K2.7 Code ($0.95/M input, $4/M output).

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Model Specs

Gemini 2.5 Pro

Website

Benchmarks & Scores

Coding (swe-bench-verified)

59.6%

multi-file code and clearly defined tasks

Reasoning (gpqa-diamond)

84.4%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$3.44Input: $1.25 | Output: $10.00

Context WindowLarger

1.05M tokens

Model Specs

Kimi K2.7 Code

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)

58.6%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)Winner (+5.6%)

90%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)2.0x cheaper

$1.71Input: $0.95 | Output: $4.00

Context Window

262.14k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 2.5 Pro vs Kimi K2.7 Code

Kimi K2.7 Code is cheaper than Gemini 2.5 Pro. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 2.0x cheaper than Gemini 2.5 Pro at $3.44/1M tokens.

For coding tasks, Gemini 2.5 Pro scores 59.6% on swe-bench-verified (multi-file code and clearly defined tasks), while Kimi K2.7 Code scores 58.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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