MiniMax M3.1 Flash Save up to 25%minimax-m3-1-flash
Type
Spec
Rate
Input
per 1M prompt tokens
$0.15$0.1125
Output
per 1M generated tokens
$0.60$0.45
Implicit cache read
per 1M cached input tokens
$0.015$0.01125
Web search
per call when invoked
$0.01
MiniMax M3.1 Flash and DeepSeek V4.1 Flash 1017 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
MiniMax 
DeepSeek Text GenerationMiniMax M3.1 Flash from MiniMax and DeepSeek V4.1 Flash 1017 from DeepSeek are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | MiniMax M3.1 Flash | DeepSeek V4.1 Flash 1017 |
|---|---|---|
| Model ID | minimax-m3-1-flash | deepseek-v4-1-flash-1017 |
| Author | MiniMax | DeepSeek |
| Released | Oct 19, 2026 | Oct 17, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 524,288 tokens | 393,216 tokens |
| Input | Text Image Video | Text Image |
| Output | Text | Text |
| Structured output | Not supported | JSON Mode |
| 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/deepseek-v4-1-flash-1017: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 | DeepSeek V4.1 Flash 1017 |
|---|---|---|
| reasoning_effort | low, medium, high, xhigh, max Default: max | none, low, medium, high, max Default: medium |
| max_completion_tokens | 1 to 524288 Default: 32768 | - |
| stop | array | string |
| tool_web_search | boolean Default: false | - |
| tools | array | - |
| tool_choice | object | - |
| disable_formatting | boolean Default: false | boolean Default: false |
| temperature | - | 0 to 2 Default: 0.7 |
| top_p | - | 0 to 1 Default: 0.9 |
| max_tokens | - | 1 to 393216 |
| enable_thinking | - | boolean Default: true |
| thinking_budget | - | 1 to 393216 Default: 32768 |
| response_format | - | enum |
| web_search_linkup | - | boolean Default: false |
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.
Thinking is enabled by default and can be disabled. Reasoning tokens are billed as output tokens. Image input is accepted alongside text. JSON mode is supported. Strict JSON Schema output is not available on this model. Optional Linkup web search is billed only when invoked. From October 27, 2026, the deepseek-v4-1-flash model IDs are served by this model.
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 deepseek-v4-1-flash-1017. 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."}
]
}'Prompt tests and comparison runs that cover both models.
MiniMax M3.1 Flash is the newer release (Oct 19, 2026); DeepSeek V4.1 Flash 1017 was released on Oct 17, 2026. Both models have a context window of 1M tokens. MiniMax M3.1 Flash returns up to 524,288 output tokens per response, DeepSeek V4.1 Flash 1017 up to 393,216. 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); DeepSeek V4.1 Flash 1017 was released on Oct 17, 2026.
MiniMax M3.1 Flash 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.
