

MiniMax M3.1 Flash and MiniMax M3 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
MiniMax M3.1 Flash and MiniMax M3 are both MiniMax models in the Text Generation category, available through the EmpirioLabs API.
| Spec | MiniMax M3.1 Flash | MiniMax M3 |
|---|---|---|
| Model ID | minimax-m3-1-flash | minimax-m3 |
| Author | MiniMax | MiniMax |
| Released | Oct 19, 2026 | Jun 1, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 524,288 tokens | 524,288 tokens |
| Input | Text Image Video | Text Image Video |
| Output | Text | Text |
| Structured output | Not supported | Not supported |
| Region | Singapore | Singapore |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/minimax-m3-1-flash: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 | MiniMax M3.1 Flash | MiniMax M3 |
|---|---|---|
| reasoning_effort | low, medium, high, xhigh, max Default: max | - |
| max_completion_tokens | 1 to 524288 Default: 32768 | 1 to 524288 Default: 4096 |
| stop | array | array |
| tool_web_search | boolean Default: false | boolean Default: false |
| tools | array | array |
| tool_choice | object | object |
| disable_formatting | boolean Default: false | boolean Default: false |
| enable_thinking | - | boolean Default: true |
Text, image, and video input with text output, a 1M token context, and up to 524,288 output tokens. The model always reasons: reasoning_effort sets how deeply (low, medium, high, xhigh, or max; the default is max), and the reasoning text is returned in reasoning_content. Reasoning tokens are billed as output tokens. Repeated prompt prefixes are cached automatically and billed at the cached input rate. 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.
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.
MiniMax M3.1 Flash 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 minimax-m3-1-flash. Both models are called through the same endpoint. Set model to minimax-m3-1-flash 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": "minimax-m3-1-flash",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'MiniMax M3.1 Flash is the newer release (Oct 19, 2026); MiniMax M3 was released on Jun 1, 2026. Both models have a context window of 1M tokens. Capabilities listed only for MiniMax M3.1 Flash: agentic coding. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
MiniMax M3.1 Flash is the newer release (Oct 19, 2026); MiniMax M3 was released on Jun 1, 2026.
Both models list the same 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.