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Moonshot AI (Kimi)kimi-k2.5VSxAIGrok 4.3

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing kimi-k2.5 and Grok 4.3 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

kimi-k2.5

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
50.7%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
87.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.3x cheaper
$1.20Input: $0.60 | Output: $3.00
Context Window
262.14k tokens
Model Specs

Grok 4.3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)Winner (+2.5%)
90.1%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$1.56Input: $1.25 | Output: $2.50
Context WindowLarger
1.05M tokens

Frequently Asked Questions about kimi-k2.5 vs Grok 4.3

kimi-k2.5 is cheaper than Grok 4.3. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 1.3x cheaper than Grok 4.3 at $1.56/1M tokens.

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