DeepSeek V4 Flash vs Kimi K2 0711
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 DeepSeek V4 Flash and Kimi K2 0711.
DeepSeek V4 Flash
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Kimi K2 0711
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
Technical Specifications
| Specification | DeepSeek V4 Flash | Kimi K2 0711 |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 86/100 | N/A |
| Time to First Token (TTFT) | 120 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2025-07-11 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Flash
$0.09
Kimi K2 0711
$0.57
Output Price per Million Tokens
DeepSeek V4 Flash
$0.18
Kimi K2 0711
$2.30
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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.
DeepSeek V4 Flash Quirks & Gotchas
- ▸Best cost-per-token ratio of any hosted API — ideal for high-throughput pipelines
- ▸Lower agentic performance vs V4 Pro — route complex tool calls accordingly
Kimi K2 0711 Quirks & Gotchas
No developer gotchas reported.