AnthropicClaude Haiku 4.5VSMoonshot 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, Claude Haiku 4.5 is suited for scripting multi-file code and clearly defined tasks. Choose kimi-k2.6 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-k2.6 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 Claude Haiku 4.5 scored 73%.
Cost Efficiency: Claude Haiku 4.5 pricing ($1/M input, $5/M output) is 0.9x cheaper than kimi-k2.6 ($0.95/M input, $4/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)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+17.5%)
90.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.2x cheaper
$1.71Input: $0.95 | Output: $4.00Context WindowLarger
262.14k tokensFrequently Asked Questions about Claude Haiku 4.5 vs kimi-k2.6
kimi-k2.6 is cheaper than Claude Haiku 4.5. kimi-k2.6 has a blended cost of $1.71/1M tokens, which is about 1.2x 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-k2.6 scores 58.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
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