Type
Spec
Rate
Input
per 1M prompt tokens
$2.00
Output
per 1M generated tokens
$10.00
Implicit cache read
per 1M cached input tokens
$0.184
Web Search (Linkup)
per call when invoked
$0.013
Kimi K3.1 Pro and Kimi K3 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Moonshot AI Text GenerationKimi K3.1 Pro and Kimi K3 are both Moonshot AI models in the Text Generation category, available through the EmpirioLabs API.
| Spec | Kimi K3.1 Pro | Kimi K3 |
|---|---|---|
| Model ID | kimi-k3-1-pro | kimi-k3 |
| Author | Moonshot AI | Moonshot AI |
| Released | Oct 23, 2026 | Jul 15, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Input | Text Image | Text Image Video |
| Output | Text | Text |
| Structured output | JSON Schema | JSON Schema |
| Region | Germany | International |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/kimi-k3-1-pro:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/kimi-k3:generateContent |
| Capabilities |
Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.
Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.
| Parameter | Kimi K3.1 Pro | Kimi K3 |
|---|---|---|
| max_tokens | 1 to 131072 Default: 131072 | 1 to 1048576 Default: 131072 |
| stop | string | string |
| enable_thinking | boolean Default: true | - |
| reasoning_effort | low, medium, high, max Default: max | low, high, max Default: max |
| response_format | enum | enum |
| web_search_linkup | boolean Default: false | - |
| disable_formatting | boolean Default: false | - |
| tool_web_search | - | boolean Default: false |
| max_tool_calls | - | 1 to 20 Default: 5 |
Supports text and image inputs with a 1M token context, function calling, and JSON schema structured output. Linkup web search is available through web_search_linkup and adds $0.013 per call when invoked. Thinking is on by default: set its depth with reasoning_effort (max is the default), or turn it off with enable_thinking, which lowers output quality. Reasoning tokens are billed as output tokens. Stop strings apply to reasoning as well as the answer, so a stop string that appears in the reasoning ends the reply early. Temperature and other sampling settings are fixed by the model service.
Supports text, image, and video inputs with a 1M token context, function calling, JSON schema structured output, and built-in web search at $0.015 per invoked call. Thinking is always on; reasoning depth is tunable with the reasoning_effort control (max is recommended) and reasoning tokens are billed as output tokens. Temperature and other sampling settings are fixed by the model service. Multi-step function calling through the API must replay the assistant message with its reasoning_content field intact.
Kimi K3.1 Pro serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id kimi-k3-1-pro. Both models are called through the same endpoint. Set model to kimi-k3-1-pro or kimi-k3. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k3-1-pro",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Prompt tests and comparison runs that cover both models.
Kimi K3.1 Pro is the newer release (Oct 23, 2026); Kimi K3 was released on Jul 15, 2026. Both models have a context window of 1M tokens. Input types only Kimi K3 accepts: Video. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
Kimi K3.1 Pro is the newer release (Oct 23, 2026); Kimi K3 was released on Jul 15, 2026.
Kimi K3.1 Pro lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens). Both live rate cards are on this page and always match what the API charges.
Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.
Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.
Check out our pricing or reach out if you want your own model deployed on our stack.
