Kimi K2 0711 with Jev
Kimi K2 0711 is a model from MoonshotAI, released 2025-07-11. It costs $0.570 per million input tokens and $2.30 per million output tokens, reads up to 131K tokens of context, and writes up to 98,304 tokens in one reply. Through llm11, set model to moonshotai/kimi-k2.
- Input price
- $0.570 / 1M
- Output price
- $2.30 / 1M
- Context window
- 131K tokens
- Max output
- 98K tokens
- Released
- 2025-07-11
- Accepts
- text
Read from the live catalogue and refreshed daily. At blended list price, 40% of the 332 priced models we can call cost more.
Using Kimi K2 0711 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 0711 does the answering when Jev sends it work, or when you name it yourself. At list price Kimi K2 0711 falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass moonshotai/kimi-k2 as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Kimi K2 0711 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 | $0.00075 | $0.745 |
| Question over retrieved documents | 4,000 / 500 | $0.00343 | $3.43 |
| Long document summary | 30,000 / 1,000 | $0.019 | $19.40 |
Cheaper models to try
The catalogue has no benchmark score for Kimi K2 0711, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| 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 | |
| Qwen Qwen2.5 VL 72B Instruct | $0.800 | $1.00 | 128K |
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",
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 Thinking | $0.600 | $2.50 | 262K | |
| Kimi K2 0905 | $0.600 | $2.50 | 262K |
Questions
- What is Kimi K2 0711 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 0711 does the answering when Jev sends it work, or when you name it yourself. At list price Kimi K2 0711 falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass moonshotai/kimi-k2 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 0711 a System One model?
- No. Kimi K2 0711 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 0711 cost?
- $0.570 per million input tokens and $2.30 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00343, so a thousand of them is about $3.43. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Kimi K2 0711 context window?
- 131,072 tokens, with up to 98,304 tokens in a single reply.
- Does Kimi K2 0711 support tool calling and structured output?
- The catalogue lists tool calling, but it does not list structured output and reasoning controls.
- Can I use Kimi K2 0711 through llm11?
- Yes. Set model to moonshotai/kimi-k2 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Kimi K2 0711?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Kimi K2 0711 falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass moonshotai/kimi-k2 as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Kimi K2 0711?
- Nearest in price and below it: DeepSeek R1 0528 at $0.500 in and $2.15 out, Google Gemini 3.5 Flash Lite at $0.300 in and $2.50 out and Google Gemini 2.5 Flash at $0.300 in and $2.50 out. The catalogue has no benchmark score for Kimi K2 0711, so this is a price ordering. It does not claim these answer as well.