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 Qwen3.8 Flash side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
DeepSeek 
Alibaba Cloud Text GenerationDeepSeek V4.1 Flash 1017 from DeepSeek and Qwen3.8 Flash from Alibaba Cloud are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | DeepSeek V4.1 Flash 1017 | Qwen3.8 Flash |
|---|---|---|
| Model ID | deepseek-v4-1-flash-1017 | qwen3-8-flash |
| Author | DeepSeek | Alibaba Cloud |
| Released | Oct 17, 2026 | Aug 26, 2026 |
| Context window | 1M tokens | 983.6K tokens |
| Max output | 393,216 tokens | 131,072 tokens |
| Input | Text Image | Text Image Video |
| 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/qwen3-8-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 | Qwen3.8 Flash |
|---|---|---|
| temperature | 0 to 2 Default: 0.7 | 0 to 1.99 Default: 0.7 |
| top_p | 0 to 1 Default: 0.9 | 0 to 1 Default: 0.9 |
| max_tokens | 1 to 393216 | 1 to 131072 |
| stop | string | string |
| enable_thinking | boolean Default: true | boolean Default: true |
| reasoning_effort | none, low, medium, high, max Default: medium | none, low, medium, high, max |
| thinking_budget | 1 to 393216 Default: 32768 | 1 to 262144 |
| response_format | enum | enum |
| web_search_linkup | boolean Default: false | - |
| disable_formatting | boolean Default: false | boolean Default: false |
| preserve_thinking | - | boolean Default: true |
| seed | - | 0 to 2147483647 |
| top_k | - | 1 to 100 |
| presence_penalty | - | -2 to 2 |
| repetition_penalty | - | 0.1 to 2 |
| n | - | 1 to 4 Default: 1 |
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.
Text, image, and video input are supported. Web search, web extractor, code interpreter, text-to-image search, and image-to-image search are optional built-in tools exposed through tool_* parameters. Web search, text-to-image search, and image-to-image search add $0.02 for each invoked call; web extractor and code interpreter run at no extra cost. Web extractor requires web search, and both web extractor and code interpreter require thinking. A single request can invoke a tool more than once, and each invoked call is billed. Thinking tokens are billed as output tokens.
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 qwen3-8-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); Qwen3.8 Flash was released on Aug 26, 2026. DeepSeek V4.1 Flash 1017 has the larger context window: 1M tokens, against 983.6K for Qwen3.8 Flash. DeepSeek V4.1 Flash 1017 returns up to 393,216 output tokens per response, Qwen3.8 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); Qwen3.8 Flash was released on Aug 26, 2026.
Qwen3.8 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.
