GoogleGemini 2.5 ProVSMoonshot AI (Kimi)kimi-k2.6
Our Take
We recommend kimi-k2.6 for superior overall value and reasoning capabilities, as it is cheaper or equal in cost while delivering peak intelligence. While kimi-k2.6 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-k2.6 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-k2.6 was evaluated on SWE-bench Pro (scoring 58.6%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. kimi-k2.6 scored 90.5%, 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-k2.6 ($0.95/M input, $4/M output).
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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: $10.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+6.1%)
90.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)2.0x cheaper
$1.71Input: $0.95 | Output: $4.00Context Window
262.14k tokensFrequently Asked Questions about Gemini 2.5 Pro vs kimi-k2.6
kimi-k2.6 is cheaper than Gemini 2.5 Pro. kimi-k2.6 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-k2.6 scores 58.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
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