Type
Spec
Rate
Input
per 1M prompt tokens
$0.63
Output
per 1M generated tokens
$3.13
Seed 2.1 Turbo and DeepSeek V4 Pro side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
ByteDance 
DeepSeek Text GenerationSeed 2.1 Turbo from ByteDance and DeepSeek V4 Pro from DeepSeek are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | Seed 2.1 Turbo | DeepSeek V4 Pro |
|---|---|---|
| Model ID | seed-2-1-turbo | deepseek-v4-pro |
| Author | ByteDance | DeepSeek |
| Released | Jul 13, 2026 | Apr 24, 2026 |
| Context window | 229.1K tokens | 1M tokens |
| Max output | 65,536 tokens | 393,216 tokens |
| Input | Text Image Video | Text |
| Output | Text | Text |
| Structured output | JSON Schema | JSON Schema |
| Region | Malaysia | Germany |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/seed-2-1-turbo:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/deepseek-v4-pro: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 | Seed 2.1 Turbo | DeepSeek V4 Pro |
|---|---|---|
| max_tokens | 1 to 65536 | 1 to 393216 |
| frequency_penalty | -2 to 2 Default: 0 | - |
| presence_penalty | -2 to 2 Default: 0 | - |
| stop | string | string |
| enable_thinking | boolean Default: true | boolean Default: true |
| reasoning_effort | low, medium, high Default: high | none, low, medium, high, max Default: medium |
| enable_web_search | boolean Default: false | - |
| max_tool_calls | 1 to 10 Default: 3 | - |
| image_detail | low, high, xhigh Default: high | - |
| video_fps | 0.2 to 5 | - |
| response_format | enum | enum |
| temperature | - | 0 to 2 Default: 0.7 |
| top_p | - | 0 to 1 Default: 0.9 |
| thinking_budget | - | 1 to 393216 Default: 32768 |
| web_search_linkup | - | boolean Default: false |
| disable_formatting | - | boolean Default: false |
Per-token pricing is flat across the full context window, with no higher rate above 128K. Reasoning is on by default; set enable_thinking to false to answer directly without it.
Seed 2.1 Turbo 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 seed-2-1-turbo. Both models are called through the same endpoint. Set model to seed-2-1-turbo or deepseek-v4-pro. 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": "seed-2-1-turbo",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Prompt tests and comparison runs that cover both models.
Seed 2.1 Turbo is the newer release (Jul 13, 2026); DeepSeek V4 Pro was released on Apr 24, 2026. DeepSeek V4 Pro has the larger context window: 1M tokens, against 229.1K for Seed 2.1 Turbo. DeepSeek V4 Pro returns up to 393,216 output tokens per response, Seed 2.1 Turbo up to 65,536. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
Seed 2.1 Turbo is the newer release (Jul 13, 2026); DeepSeek V4 Pro was released on Apr 24, 2026.
Seed 2.1 Turbo 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.
