Kimi K2.7 Code vs o4 Mini Deep Research
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Kimi K2.7 Code and o4 Mini Deep Research.
Kimi K2.7 Code
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...
o4 Mini Deep Research
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Technical Specifications
| Specification | Kimi K2.7 Code | o4 Mini Deep Research |
|---|---|---|
| Provider | Moonshot AI | OpenAI |
| Context Window | 262,144 tokens | 200,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-06-12 | 2025-10-10 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2.7 Code
$0.74
o4 Mini Deep Research
$2.00
Output Price per Million Tokens
Kimi K2.7 Code
$3.50
o4 Mini Deep Research
$8.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Kimi K2.7 Code Quirks & Gotchas
No developer gotchas reported.
o4 Mini Deep Research Quirks & Gotchas
No developer gotchas reported.