Type
Spec
Rate
Input
per 1M prompt tokens
$0.30
Output
per 1M generated tokens
$0.94
Web search
per call when invoked
$0.02
Qwen3.8 Omni Flash and Qwen3.8 27B side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Alibaba Cloud Text GenerationQwen3.8 Omni Flash and Qwen3.8 27B are both Alibaba Cloud models in the Text Generation category, available through the EmpirioLabs API.
| Spec | Qwen3.8 Omni Flash | Qwen3.8 27B |
|---|---|---|
| Model ID | qwen3-8-omni-flash | qwen3-8-27b |
| Author | Alibaba Cloud | Alibaba Cloud |
| Released | Sep 17, 2026 | Aug 14, 2026 |
| Context window | 1.01M tokens | 256K tokens |
| Max output | 131,072 tokens | 32,768 tokens |
| Input | Text Image Audio Video | Text Image Video |
| Output | Text | Text |
| Structured output | JSON Schema | JSON Schema |
| Region | Singapore | - |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/qwen3-8-omni-flash:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1/completions POST /v1beta/models/qwen3-8-27b: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 Omni Flash | Qwen3.8 27B |
|---|---|---|
| temperature | 0 to 1.99 Default: 0.7 | 0 to 2 Default: 1 |
| top_p | 0 to 1 Default: 0.9 | 0.01 to 1 Default: 0.95 |
| max_tokens | 1 to 131072 | 1 to 32768 Default: 32768 |
| stop | string | string |
| enable_thinking | boolean Default: true | boolean Default: true |
| reasoning_effort | none, low, medium, high, max | none, low, medium, xhigh Default: xhigh |
| thinking_budget | 1 to 262144 | - |
| preserve_thinking | boolean Default: false | - |
| seed | 0 to 2147483647 | 0 to 2147483647 |
| top_k | 1 to 100 | min 1 Default: 20 |
| presence_penalty | -2 to 2 | -2 to 2 Default: 0 |
| repetition_penalty | 0.1 to 2 | min 0.1 Default: 1 |
| n | 1 to 4 Default: 1 | - |
| logprobs | boolean Default: false | boolean Default: false |
| top_logprobs | 0 to 5 Default: 0 | 0 to 20 |
| vl_high_resolution_images | boolean Default: true | - |
Text, image, audio, and video input are supported, and the model replies in text. Thinking is on by default; use enable_thinking to turn it off and thinking_budget to cap it at up to 262144 tokens. Thinking tokens are billed as output tokens. Web search is an optional built-in tool exposed through tool_web_search and adds $0.02 for each invoked call; a single request can invoke it more than once, and each invoked call is billed. For audio input, pass the file as a URL or a base64 data URI. A video's soundtrack is billed as audio tokens alongside its video tokens.
Supports text, image, and video input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Use reasoning_effort (xhigh, medium, low) or enable_thinking=false for direct answers. Automatic cache reads are billed at the cached-input rate when reported by the model service. Explicit cache controls are not supported. Open-weight context is 256K; hosted 1M context and official built-in tools are not included.
Qwen3.8 Omni 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-omni-flash. Both models are called through the same endpoint. Set model to qwen3-8-omni-flash or qwen3-8-27b. 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-omni-flash",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Qwen3.8 Omni Flash is the newer release (Sep 17, 2026); Qwen3.8 27B was released on Aug 14, 2026. Qwen3.8 Omni Flash has the larger context window: 1.01M tokens, against 256K for Qwen3.8 27B. Qwen3.8 Omni Flash returns up to 131,072 output tokens per response, Qwen3.8 27B up to 32,768. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
Qwen3.8 Omni Flash is the newer release (Sep 17, 2026); Qwen3.8 27B was released on Aug 14, 2026.
Qwen3.8 27B 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.