GoogleGemini 2.5 ProVSMoonshot AI (Kimi)kimi-k2.5
Our Take
We recommend kimi-k2.5 for superior overall value and reasoning capabilities, as it is cheaper or equal in cost while delivering peak intelligence. While kimi-k2.5 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-k2.5 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-k2.5 was evaluated on SWE-bench Pro (scoring 50.7%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. kimi-k2.5 scored 87.6%, while Gemini 2.5 Pro scored 84.4%.
Cost Efficiency: Gemini 2.5 Pro pricing ($1.25/M input, $10/M output) is 0.3x cheaper than kimi-k2.5 ($0.6/M input, $3/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)
50.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+3.2%)
87.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)2.9x cheaper
$1.20Input: $0.60 | Output: $3.00Context Window
262.14k tokensFrequently Asked Questions about Gemini 2.5 Pro vs kimi-k2.5
kimi-k2.5 is cheaper than Gemini 2.5 Pro. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 2.9x 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-k2.5 scores 50.7% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
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