Kimi K2 Thinking with Jev
Kimi K2 Thinking is a model from MoonshotAI, released 2025-11-06. It costs $0.600 per million input tokens and $2.50 per million output tokens, reads up to 262K tokens of context, and writes up to 98,304 tokens in one reply. Through llm11, set model to moonshotai/kimi-k2-thinking.
- Input price
- $0.600 / 1M
- Output price
- $2.50 / 1M
- Context window
- 262K tokens
- Max output
- 98K tokens
- Cached input
- $0.150 / 1M
- Released
- 2025-11-06
- Accepts
- text
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 39% of the 332 priced models we can call cost more.
Using Kimi K2 Thinking with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Kimi K2 Thinking does the answering when Jev sends it work, or when you name it yourself. At list price Kimi K2 Thinking falls in the llm11-balanced band, but no pack routes to it because MoonshotAI is not one of the labs the packs draw from. You can still pin it: pass moonshotai/kimi-k2-thinking as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Kimi K2 Thinking with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00080 | $0.800 |
| Question over retrieved documents | 4,000 / 500 | $0.00365 | $3.65 |
| Long document summary | 30,000 / 1,000 | $0.020 | $20.50 |
Cheaper models to try
The catalogue has no benchmark score for Kimi K2 Thinking, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3.6 27B | $0.320 | $3.20 | 262K | |
| DeepSeek R1 0528 | $0.500 | $2.15 | 164K | |
| Google Gemini 3.5 Flash Lite | $0.300 | $2.50 | 1.05M | |
| Google Gemini 2.5 FlashRetires 2026-10-20 | $0.300 | $2.50 | 1.05M |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="moonshotai/kimi-k2-thinking",
messages=[{"role": "user", "content": "Hello"}],
)More from MoonshotAI
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Kimi K3 | $3.00 | $15 | 1.05M | |
| Kimi K2.7 Code | $0.656 | $3.30 | 262K | |
| Kimi K2.6 | $0.650 | $3.41 | 262K | |
| Kimi K2.5 | $0.450 | $2.25 | 262K | |
| Kimi K2 0905 | $0.600 | $2.50 | 262K | |
| Kimi K2 0711 | $0.570 | $2.30 | 131K |
Questions
- What is Kimi K2 Thinking with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Kimi K2 Thinking does the answering when Jev sends it work, or when you name it yourself. At list price Kimi K2 Thinking falls in the llm11-balanced band, but no pack routes to it because MoonshotAI is not one of the labs the packs draw from. You can still pin it: pass moonshotai/kimi-k2-thinking as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Kimi K2 Thinking a System One model?
- No. Kimi K2 Thinking answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Kimi K2 Thinking cost?
- $0.600 per million input tokens and $2.50 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00365, so a thousand of them is about $3.65. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Kimi K2 Thinking context window?
- 262,144 tokens, with up to 98,304 tokens in a single reply.
- Does Kimi K2 Thinking support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Kimi K2 Thinking through llm11?
- Yes. Set model to moonshotai/kimi-k2-thinking on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Kimi K2 Thinking?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Kimi K2 Thinking falls in the llm11-balanced band, but no pack routes to it because MoonshotAI is not one of the labs the packs draw from. You can still pin it: pass moonshotai/kimi-k2-thinking as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Kimi K2 Thinking?
- Nearest in price and below it: Qwen Qwen3.6 27B at $0.320 in and $3.20 out, DeepSeek R1 0528 at $0.500 in and $2.15 out and Google Gemini 3.5 Flash Lite at $0.300 in and $2.50 out. The catalogue has no benchmark score for Kimi K2 Thinking, so this is a price ordering. It does not claim these answer as well.