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MoonshotAI: Kimi K2.7 Code
Moonshotaitext8.8 / 10 Overall Rating
MoonshotAI Kimi K2.7 Code is a long-context, coding-optimized Mixture-of-Experts (MoE) model with native vision support. It features a 262K token context window and an unusually high 235K token output limit designed for multi-file codebase generation. It operates at roughly a quarter of the API cost of GPT-4o and Claude 3.5 Sonnet.
Context Window
262K
Knowledge Cutoff
2025
Max Output
16K
License
Proprietary
Where it Excels (Pros)
- 262K context window beats baselines
- Massive 235K max token output
- Significantly cheaper than GPT-4o
- Multimodal vision input for coding
Limitations (Cons)
- Niche focus on software development
- Unproven general reasoning vs Sonnet
Benchmark Breakdown
Reasoning (MMLU)82%
Coding (HumanEval)78%
Mathematics (MATH)76%
Long-Context Retrieval95%
Pricing Matrix
Input cost / 1M tokens$0.66
Output cost / 1M tokens$3.40
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