Gemini 3.5 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 Gemini 3.5 Flash and Kimi K2 0711.
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
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 | Gemini 3.5 Flash | Kimi K2 0711 |
|---|---|---|
| Provider | Moonshot AI | |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 200 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-19 | 2025-07-11 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
Kimi K2 0711
$0.57
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
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.
Gemini 3.5 Flash Quirks & Gotchas
- ▸Excellent multimodal performance — native video understanding
- ▸Tool calling via Google's native function_declarations in Vertex AI
Kimi K2 0711 Quirks & Gotchas
No developer gotchas reported.