GOOGLE VS MOONSHOT AI
Gemini 3.5 Flash-Lite vs Kimi K2 Thinking
Gemini 3.5 Flash-Lite is about 1.3x cheaper than Kimi K2 Thinking on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.008 vs $0.011. Gemini 3.5 Flash-Lite has the larger context window (1,048,576 vs 262,144 tokens).
Pricing verified
API pricing per 1M tokens
| Model | Input / 1M tokens | Output / 1M tokens | Blended (3:1 mix) |
|---|---|---|---|
| Gemini 3.5 Flash-Lite | $0.30 | $2.50 | $0.85 |
| Kimi K2 Thinking | $0.60 | $2.50 | $1.075 |
Rates from official Google pricing and official Moonshot AI pricing, checked 2026-08-11.
What a real workload costs
Example: one request with 10,000 input tokens and 2,000 output tokens, then that request at 100,000 runs per month.
| Model | Per request (10K in / 2K out) | Per month (100K requests) | Monthly delta |
|---|---|---|---|
| Gemini 3.5 Flash-Lite | $0.008 | $800 | — |
| Kimi K2 Thinking | $0.011 | $1,100 | +$300 |
Model your own prompt sizes and volumes in the token cost analyzer, or check caching savings with the prompt caching calculator.
Specs side by side
| Spec | Gemini 3.5 Flash-Lite | Kimi K2 Thinking |
|---|---|---|
| Provider | Moonshot AI | |
| Context window | 1,048,576 tokens | 262,144 tokens |
| Model class | General text | Reasoning |
| Tokenizer | Proprietary (counts estimated) | Proprietary (counts estimated) |
Count tokens for each model on its own page: Gemini 3.5 Flash-Lite token counter and Kimi K2 Thinking token counter. All Google models are on the Gemini Token Counter. All Moonshot AI models are on the Kimi Token Counter.
FAQ
Gemini 3.5 Flash-Lite vs Kimi K2 Thinking FAQ
Which is cheaper, Gemini 3.5 Flash-Lite or Kimi K2 Thinking?
Gemini 3.5 Flash-Lite is cheaper. At rates checked 2026-08-11, Gemini 3.5 Flash-Lite costs $0.30 input / $2.50 output per 1M tokens, while Kimi K2 Thinking costs $0.60 input / $2.50 output — about a 1.3x difference on a typical 3:1 input-heavy workload.
How much does a real request cost on Gemini 3.5 Flash-Lite vs Kimi K2 Thinking?
A request with 10,000 input tokens and 2,000 output tokens costs about $0.008 on Gemini 3.5 Flash-Lite and $0.011 on Kimi K2 Thinking. At 100,000 such requests per month that is $800 vs $1,100 — a difference of $300 per month.
Which has the bigger context window, Gemini 3.5 Flash-Lite or Kimi K2 Thinking?
Gemini 3.5 Flash-Lite. It supports 1,048,576 tokens of context versus 262,144 tokens — roughly 786,000 English words in one request.
Do Gemini 3.5 Flash-Lite and Kimi K2 Thinking count tokens the same way?
Not exactly. Gemini 3.5 Flash-Lite uses a proprietary tokenizer (counts are estimates) and Kimi K2 Thinking uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.