Type
Spec
Rate
Input
per 1M prompt tokens
$0.20
Output
per 1M generated tokens
$0.80
Implicit cache read
per 1M cached input tokens
$0.02
Web Search (Linkup)
per call when invoked
$0.013
DeepSeek V4.1 Flash 1017 and MiMo V2.6 Flash side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
DeepSeek 
Xiaomi Text GenerationDeepSeek V4.1 Flash 1017 from DeepSeek and MiMo V2.6 Flash from Xiaomi are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | DeepSeek V4.1 Flash 1017 | MiMo V2.6 Flash |
|---|---|---|
| Model ID | deepseek-v4-1-flash-1017 | mimo-v2-6-flash |
| Author | DeepSeek | Xiaomi |
| Released | Oct 17, 2026 | Sep 22, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 393,216 tokens | 131,072 tokens |
| Input | Text Image | Text Image Video Audio |
| Output | Text | Text |
| Structured output | JSON Mode | JSON Schema |
| Region | Singapore | Singapore |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/deepseek-v4-1-flash-1017:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/mimo-v2-6-flash: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 | DeepSeek V4.1 Flash 1017 | MiMo V2.6 Flash |
|---|---|---|
| temperature | 0 to 2 Default: 0.7 | 0 to 1.5 Default: 1 |
| top_p | 0 to 1 Default: 0.9 | 0.01 to 1 Default: 0.95 |
| max_tokens | 1 to 393216 | 1 to 131072 Default: 8192 |
| stop | string | string |
| enable_thinking | boolean Default: true | boolean Default: true |
| reasoning_effort | none, low, medium, high, max Default: medium | - |
| thinking_budget | 1 to 393216 Default: 32768 | - |
| response_format | enum | enum |
| web_search_linkup | boolean Default: false | - |
| disable_formatting | boolean Default: false | boolean Default: false |
| video_fps | - | 0.1 to 10 |
| media_resolution | - | default, max Default: default |
| tool_web_search | - | 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 |
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.
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.
DeepSeek V4.1 Flash 1017 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 deepseek-v4-1-flash-1017. Both models are called through the same endpoint. Set model to deepseek-v4-1-flash-1017 or mimo-v2-6-flash. 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": "deepseek-v4-1-flash-1017",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Prompt tests and comparison runs that cover both models.
DeepSeek V4.1 Flash 1017 is the newer release (Oct 17, 2026); MiMo V2.6 Flash was released on Sep 22, 2026. Both models have a context window of 1M tokens. DeepSeek V4.1 Flash 1017 returns up to 393,216 output tokens per response, MiMo V2.6 Flash up to 131,072. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
DeepSeek V4.1 Flash 1017 is the newer release (Oct 17, 2026); MiMo V2.6 Flash was released on Sep 22, 2026.
MiMo V2.6 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.
