Qwen3.8 Flash vs Qwen3.8 27B

Qwen3.8 Flash and Qwen3.8 27B side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Alibaba Cloud Text Generation

Qwen3.8 Flash vs Qwen3.8 27B at a glance

Qwen3.8 Flash and Qwen3.8 27B are both Alibaba Cloud models in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • Qwen3.8 Flash is the newer release (Aug 26, 2026); Qwen3.8 27B was released on Aug 14, 2026.
  • Qwen3.8 Flash has the larger context window: 983.6K tokens, against 256K for Qwen3.8 27B.
  • Qwen3.8 Flash returns up to 131,072 output tokens per response, Qwen3.8 27B up to 32,768.
  • Capabilities listed only for Qwen3.8 Flash: web search, code interpreter, structured output, agentic coding.
  • Capabilities listed only for Qwen3.8 27B: video, cache, json mode, logprobs.
  • Qwen3.8 Flash lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

Qwen3.8 Flash vs Qwen3.8 27B: specs

SpecQwen3.8 FlashQwen3.8 27B
Model IDqwen3-8-flashqwen3-8-27b
AuthorAlibaba CloudAlibaba Cloud
ReleasedAug 26, 2026Aug 14, 2026
Context window983.6K tokens256K tokens
Max output131,072 tokens32,768 tokens
Input
Text Image Video
Text Image Video
Output
Text
Text
Structured outputJSON SchemaJSON Schema
RegionSingapore-
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 /v1/completions POST /v1beta/models/qwen3-8-27b:generateContent
Capabilities
reasoning vision multimodal web search code interpreter function calling structured output agentic coding
reasoning vision video function calling cache multimodal json mode logprobs

Qwen3.8 Flash vs Qwen3.8 27B: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

Type
Spec
Rate
Input
per 1M prompt tokens
$0.16
Output
per 1M generated tokens
$0.47
Web search
per call when invoked
$0.02
Text-to-image search
per call when invoked
$0.02
Image-to-image search
per call when invoked
$0.02
Web extractor
per call when invoked
$0.00
Code interpreter
per call when invoked
$0.00
Compare on the full pricing page

Qwen3.8 Flash vs Qwen3.8 27B: API parameters

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.

ParameterQwen3.8 FlashQwen3.8 27B
temperature0 to 1.99 Default: 0.70 to 2 Default: 1
top_p0 to 1 Default: 0.90.01 to 1 Default: 0.95
max_tokens1 to 1310721 to 32768 Default: 32768
stopstringstring
enable_thinkingboolean Default: trueboolean Default: true
reasoning_effortnone, low, medium, high, maxnone, low, medium, xhigh Default: xhigh
thinking_budget1 to 262144-
preserve_thinkingboolean Default: true-
seed0 to 21474836470 to 2147483647
top_k1 to 100min 1 Default: 20
presence_penalty-2 to 2-2 to 2 Default: 0
repetition_penalty0.1 to 2min 0.1 Default: 1
n1 to 4 Default: 1-
logprobsboolean Default: falseboolean Default: false
top_logprobs0 to 5 Default: 00 to 20
vl_high_resolution_imagesboolean Default: true-

Qwen3.8 Flash vs Qwen3.8 27B: limits and notes

Qwen3.8 Flash

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.

Qwen3.8 27B

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.

How to call Qwen3.8 Flash and Qwen3.8 27B

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 qwen3-8-27b. Get an API key from the EmpirioLabs dashboard.

cURL
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."}
    ]
  }'

Qwen3.8 Flash vs Qwen3.8 27B: common questions

What is the difference between Qwen3.8 Flash and Qwen3.8 27B?

Qwen3.8 Flash is the newer release (Aug 26, 2026); Qwen3.8 27B was released on Aug 14, 2026. Qwen3.8 Flash has the larger context window: 983.6K tokens, against 256K for Qwen3.8 27B. Qwen3.8 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.

Which is newer, Qwen3.8 Flash or Qwen3.8 27B?

Qwen3.8 Flash is the newer release (Aug 26, 2026); Qwen3.8 27B was released on Aug 14, 2026.

Which has the lower rate, Qwen3.8 Flash or Qwen3.8 27B?

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.

Can I switch between Qwen3.8 Flash and Qwen3.8 27B without rebuilding my integration?

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.

Can I try Qwen3.8 Flash and Qwen3.8 27B in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.

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