Moonshot AI (Kimi)Kimi K2.7 CodeVSxAIGrok 4.3
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Kimi K2.7 Code and Grok 4.3 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
90%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00Context Window
262.14k tokensBenchmarks & Scores
Coding (swe-bench-pro)
N/Acomplex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+0.1%)
90.1%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.1x cheaper
$1.56Input: $1.25 | Output: $2.50Context WindowLarger
1.05M tokensFrequently Asked Questions about Kimi K2.7 Code vs Grok 4.3
Grok 4.3 is cheaper than Kimi K2.7 Code. Grok 4.3 has a blended cost of $1.56/1M tokens, which is about 1.1x cheaper than Kimi K2.7 Code at $1.71/1M tokens.
Related Matchups
Explore similar comparisons for Kimi K2.7 Code and Grok 4.3.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.