Moonshot AI
Kimi K2.7 Code
Coding-focused open-weight mixture-of-experts model built for long agent runs.
Our editorial assessment, based on the public sources listed below. Last reviewed .
- Overall rank
- #53
- Tier
- A
- Score
- 76.9
- Main category
- Coding
Strengths
- Designed for long agent trajectories rather than short completions
- Trillion-parameter MoE with a sparse active-parameter budget
- 256K context plus multimodal input
Considerations
- Narrowly tuned for coding, so general chat quality is secondary
- Very new release with limited independent evaluation so far
- Self-hosting the full weights requires a large GPU cluster
Price
Open weights (Modified MIT); API $0.95 input / $4 output per 1M tokens via Moonshot ($0.19 cached input)
Shown for reference — price is not part of the score.
Score breakdown
- Performance
- 82.0
- 55% of score
- Reputation
- 80.0
- 35% of score
- Recency
- 38.0
- 10% of score
The overall score combines these sub-scores using the weights shown. How we score →
Verification status
Each field carries its own re-verification date. Amber means older than 90 days — treat those figures as stale until re-checked.
- Pricing
- Benchmark
- Reputation
- Feature list
Checked against the sources listed below.
Sources
- Artificial Analysis — Kimi models (opens in a new tab)Accessed:
- Kimi API Platform — Model list (opens in a new tab)Accessed:
- Perplexity Agent API Changelog (opens in a new tab)Accessed:
- Kimi API Platform — Pricing and K2 series sunset notice (opens in a new tab)Accessed:
- Perplexity Agent API Models — Moonshot AI (opens in a new tab)Accessed:
Show 4 more sources
Similar models
- Claude Sonnet 4.6Anthropic#40 · Tier A · Score 81.3Compare
- MiniMax M2.7MiniMax#47 · Tier A · Score 79.2Compare
- Kimi K2.6Moonshot AI#55 · Tier A · Score 75.8Compare
- Grok BuildxAI#62 · Tier A · Score 73.8Compare