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Best MoonshotAI Models for Coding

Quick answer · Updated June 2026

Kimi K2.6 is the best MoonshotAI model for coding, with a 38.4 Artificial Analysis Coding Index across benchmarks like SWE-bench and SciCode. Kimi K2 0905 (25.9) and Kimi K2.5 (25.8) round out the top three.

38.4Coding
42.9Intelligence
162 t/sSpeed
$0.680Input /M
262KContext

AI models ranked by the Artificial Analysis Coding Index, measuring real-world software engineering ability across benchmarks like SWE-bench, SciCode and terminal tasks. The best LLMs for code generation, debugging and agentic development.

  1. 1M
    kimi-k2.6
    ReasoningToolsJSON+142.9 intel · $0.680/M · 162 t/s
    38.4
    Coding
  2. 2M
    kimi-k2-0905
    ToolsJSON30.9 intel · $0.600/M · 139 t/s
    25.9
    Coding
  3. 3M
    kimi-k2.5
    ReasoningToolsJSON+137.3 intel · $0.375/M · 89 t/s
    25.8
    Coding
  4. 4M
    kimi-k2-thinking
    ReasoningToolsJSON24.1 intel · $0.600/M · 103 t/s
    15.5
    Coding
  5. 5M
    kimi-k2
    Tools14.4 intel · $0.570/M · 15 t/s
    10.5
    Coding

Frequently asked

What is the best MoonshotAI model for coding?

Kimi K2.6 is the best MoonshotAI model for coding, with a 38.4 Artificial Analysis Coding Index across benchmarks like SWE-bench and SciCode. Kimi K2 0905 (25.9) and Kimi K2.5 (25.8) round out the top three.

What's a good alternative to Kimi K2.6?

Kimi K2 0905 (25.9) is the closest alternative on this metric, followed by Kimi K2.5 (25.8). See the full ranking above for the tradeoffs.

How many MoonshotAI models are there?

modelgrep tracks 6 MoonshotAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Kimi K2.6. 5 of them qualify for this ranking.

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