AnthropicClaude Haiku 4.5VSMoonshot 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, Claude Haiku 4.5 is suited for scripting multi-file code and clearly defined tasks. Choose kimi-k2.5 for architectural codebase planning, or Claude Haiku 4.5 if you specifically require its simpler functions profile.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Claude Haiku 4.5 was evaluated on SWE-bench Verified (scoring 73.3%), 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 Claude Haiku 4.5 scored 73%.
Cost Efficiency: Claude Haiku 4.5 pricing ($1/M input, $5/M output) is 0.6x cheaper than kimi-k2.5 ($0.6/M input, $3/M output).
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Benchmarks & Scores
Coding (swe-bench-verified)
73.3%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
73%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.00Input: $1.00 | Output: $5.00Context Window
200k tokensBenchmarks & Scores
Coding (swe-bench-pro)
50.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+14.6%)
87.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.7x cheaper
$1.20Input: $0.60 | Output: $3.00Context WindowLarger
262.14k tokensFrequently Asked Questions about Claude Haiku 4.5 vs kimi-k2.5
kimi-k2.5 is cheaper than Claude Haiku 4.5. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 1.7x cheaper than Claude Haiku 4.5 at $2.00/1M tokens.
For coding tasks, Claude Haiku 4.5 scores 73.3% 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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