

MiMo V2.6 Pro and MiniMax M3 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
MiMo V2.6 Pro from Xiaomi and MiniMax M3 from MiniMax are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | MiMo V2.6 Pro | MiniMax M3 |
|---|---|---|
| Model ID | mimo-v2-6-pro | minimax-m3 |
| Author | Xiaomi | MiniMax |
| Released | Sep 22, 2026 | Jun 1, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 131,072 tokens | 524,288 tokens |
| Input | Text Image Video Audio | Text Image Video |
| Output | Text | Text |
| Structured output | JSON Schema | Not supported |
| Region | Singapore | Singapore |
| 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/minimax-m3: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 | MiniMax M3 |
|---|---|---|
| enable_thinking | boolean Default: true | 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 | - |
| stop | string | array |
| response_format | enum | - |
| disable_formatting | boolean Default: false | boolean Default: false |
| max_completion_tokens | - | 1 to 524288 Default: 4096 |
| tools | - | array |
| tool_choice | - | object |
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.
Text, image, and video input with text output. Thinking defaults to adaptive and can be disabled. Pricing is based on input tokens including cache hits: <=512K uses the discounted standard tier, while >512K uses the high-context tier. Supports up to 1M input tokens. Set tool_web_search to true to let the model search the web; each executed search is billed, and one request can run several searches. Answers that used web search end with a Sources list unless disable_formatting is true. Structured output through response_format is not supported; ask for JSON in the prompt instead.
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 minimax-m3. 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); MiniMax M3 was released on Jun 1, 2026. Both models have a context window of 1M tokens. MiniMax M3 returns up to 524,288 output tokens per response, MiMo V2.6 Pro up to 131,072. 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); MiniMax M3 was released on Jun 1, 2026.
MiniMax M3 lists the lower rate for Web search (per call when invoked). 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.