kimi-k2-thinking:free
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...
Capabilities
Modalities
Quick stats
Performance
Supported parameters
| Parameter | Always | Default |
|---|---|---|
| frequency_penalty | (do not send) | |
| include_reasoning | - | |
| logit_bias | - | - |
| logprobs | - | - |
| max_tokens | - | |
| min_p | - | - |
| presence_penalty | - | |
| reasoning | - | |
| repetition_penalty | - | |
| response_format | - | |
| seed | - | |
| stop | - | |
| structured_outputs | - | |
| temperature | (do not send) | |
| tool_choice | - | |
| tools | - | |
| top_k | - | |
| top_logprobs | - | - |
| top_p | (do not send) |
Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 131.1K tokens |
| Compatible endpoints | openai |
| Vendor | Moonshot |
Call kimi-k2-thinking:free from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
curl https://api.unorouter.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2-thinking:free",
"messages": [{"role": "user", "content": "Hello!"}]
}'Frequently asked questions
How much does kimi-k2-thinking:free cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access kimi-k2-thinking:free via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=kimi-k2-thinking:free. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of kimi-k2-thinking:free?
kimi-k2-thinking:free supports a context window of 131.1K tokens, shared between your prompt and the model's response.
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Try kimi-k2-thinking:free now
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