Qwen3.8 Flash and Seed 2.1 Turbo side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Alibaba Cloud 
ByteDance Text GenerationQwen3.8 Flash from Alibaba Cloud and Seed 2.1 Turbo from ByteDance are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | Qwen3.8 Flash | Seed 2.1 Turbo |
|---|---|---|
| Model ID | qwen3-8-flash | seed-2-1-turbo |
| Author | Alibaba Cloud | ByteDance |
| Released | Aug 26, 2026 | Jul 13, 2026 |
| Context window | 983.6K tokens | 229.1K tokens |
| Max output | 131,072 tokens | 65,536 tokens |
| Input | Text Image Video | Text Image Video |
| Output | Text | Text |
| Structured output | JSON Schema | JSON Schema |
| Region | Singapore | Malaysia |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/qwen3-8-flash:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/seed-2-1-turbo: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 | Qwen3.8 Flash | Seed 2.1 Turbo |
|---|---|---|
| temperature | 0 to 1.99 Default: 0.7 | - |
| top_p | 0 to 1 Default: 0.9 | - |
| max_tokens | 1 to 131072 | 1 to 65536 |
| stop | string | string |
| enable_thinking | boolean Default: true | boolean Default: true |
| reasoning_effort | none, low, medium, high, max | low, medium, high Default: high |
| thinking_budget | 1 to 262144 | - |
| preserve_thinking | boolean Default: true | - |
| seed | 0 to 2147483647 | - |
| top_k | 1 to 100 | - |
| presence_penalty | -2 to 2 | -2 to 2 Default: 0 |
| repetition_penalty | 0.1 to 2 | - |
| n | 1 to 4 Default: 1 | - |
| logprobs | boolean Default: false | - |
| top_logprobs | 0 to 5 Default: 0 | - |
| vl_high_resolution_images | boolean Default: true | - |
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.
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.
Qwen3.8 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 qwen3-8-flash. Both models are called through the same endpoint. Set model to qwen3-8-flash or seed-2-1-turbo. 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": "qwen3-8-flash",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Prompt tests and comparison runs that cover both models.
Qwen3.8 Flash is the newer release (Aug 26, 2026); Seed 2.1 Turbo was released on Jul 13, 2026. Qwen3.8 Flash has the larger context window: 983.6K tokens, against 229.1K for Seed 2.1 Turbo. Qwen3.8 Flash returns up to 131,072 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.
Qwen3.8 Flash is the newer release (Aug 26, 2026); Seed 2.1 Turbo was released on Jul 13, 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.
