Type
Spec
Rate
Input
per 1M prompt tokens
$0.435
Output
per 1M generated tokens
$0.87
Web search
per call when invoked
$0.015
MiMo V2.6 Pro and Kimi K3 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Xiaomi 
Moonshot AI Text GenerationMiMo V2.6 Pro from Xiaomi and Kimi K3 from Moonshot AI are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | MiMo V2.6 Pro | Kimi K3 |
|---|---|---|
| Model ID | mimo-v2-6-pro | kimi-k3 |
| Author | Xiaomi | Moonshot AI |
| Released | Sep 22, 2026 | Jul 15, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Input | Text Image Video Audio | Text Image Video |
| Output | Text | Text |
| Structured output | JSON Schema | JSON Schema |
| Region | Singapore | International |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/mimo-v2-6-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 | MiMo V2.6 Pro | Kimi K3 |
|---|---|---|
| enable_thinking | boolean Default: true | - |
| video_fps | 0.1 to 10 | - |
| media_resolution | default, max Default: default | - |
| tool_web_search | boolean Default: false | boolean Default: false |
| web_search_force | boolean Default: false | - |
| web_search_max_keyword | 1 to 5 Default: 3 | - |
| web_search_limit | 1 to 10 Default: 5 | - |
| temperature | 0 to 1.5 Default: 1 | - |
| top_p | 0.01 to 1 Default: 0.95 | - |
| max_tokens | 1 to 131072 Default: 8192 | 1 to 1048576 Default: 131072 |
| stop | string | string |
| response_format | enum | enum |
| disable_formatting | boolean Default: false | - |
| reasoning_effort | - | low, high, max Default: max |
| max_tool_calls | - | 1 to 20 Default: 5 |
Web search ($0.015/call) is charged only when invoked. Accepts text, image, video, and audio input and returns text. Thinking is on by default and can be turned off. Sustains complex autonomous workflows with 1000+ tool calls on a 1M context.
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.
MiMo V2.6 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 mimo-v2-6-pro. Both models are called through the same endpoint. Set model to mimo-v2-6-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": "mimo-v2-6-pro",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Prompt tests and comparison runs that cover both models.
MiMo V2.6 Pro is the newer release (Sep 22, 2026); Kimi K3 was released on Jul 15, 2026. Both models have a context window of 1M tokens. Input types only MiMo V2.6 Pro accepts: Audio. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
MiMo V2.6 Pro is the newer release (Sep 22, 2026); Kimi K3 was released on Jul 15, 2026.
MiMo V2.6 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.
