Qwen3.5 APIs

Compare 8 text generation models in the Qwen3.5 family, then call the one that fits your latency, quality, and pricing needs.

Alibaba CloudText Generation8 models

About Qwen3.5 APIs

Qwen3.5 on EmpirioLabs brings together 8 text generation model APIs from Alibaba Cloud, including Qwen3.5 Plus, Qwen3.5 122B-A10B, Qwen3.5 397B-A17B, Qwen3.5 35B-A3B. Each model keeps its own dedicated page with live pricing, parameters, docs, and playground access.

Use the same EmpirioLabs API key and endpoint pattern across the family, then switch behavior by changing the model id in your request.

Qwen3.5 models (8)

Qwen3.5 API pricing

Compare the family at a glance, then open a model page for the complete live rate card and parameters.

Endpoint
POST/v1/chat/completions
Pricing
Type
Spec
Rate
Input
per 1M prompt tokens
$0.40<=256K $0.36$1.20256K-1M $1.08
Output
per 1M generated tokens
$2.40<=256K $2.21$7.20256K-1M $6.62
Web search
per call when invoked
$0.015
Text-to-image search
per call when invoked
$0.012
Image-to-image search
per call when invoked
$0.012
Web extractor
per call when invoked
$0.00
Code interpreter
per call when invoked
$0.00
Best fit
Multimodal model with hybrid architecture for efficient deep thinking and visual understanding across text, image, and video on a 1M context.
Endpoint
POST/v1/chat/completions
Pricing
Type
Spec
Rate
Input
per 1M prompt tokens
$0.40<=128K $0.115$0.40128K-256K $0.287
Output
per 1M generated tokens
$3.20<=128K $0.917$3.20128K-256K $2.294
Web search
per call when invoked
$0.01
Best fit
Qwen3.5 122B-A10B is a multimodal reasoning model with 256K context, efficient sparse MoE inference, and text, image, and video input.
Endpoint
POST/v1/chat/completions
Pricing
Type
Spec
Rate
Input
per 1M prompt tokens
$0.60<=128K $0.172$0.60128K-256K $0.43
Output
per 1M generated tokens
$3.60<=128K $1.032$3.60128K-256K $2.58
Web search
per call when invoked
$0.01
Best fit
Qwen3.5 397B-A17B is a flagship multimodal reasoning model for language, code, agents, GUI tasks, and image and video understanding.
Endpoint
POST/v1/chat/completions
Pricing
Type
Spec
Rate
Input
per 1M prompt tokens
$0.25<=128K $0.057$0.25128K-256K $0.229
Output
per 1M generated tokens
$2.00<=128K $0.459$2.00128K-256K $1.835
Web search
per call when invoked
$0.01
Best fit
Qwen3.5 35B-A3B is an efficient native vision-language model with sparse MoE routing, deep thinking, and text, image, and video input.
Endpoint
POST/v1/chat/completions
Pricing
Type
Spec
Rate
Input
per 1M prompt tokens
$0.30<=128K $0.086$0.30128K-256K $0.258
Output
per 1M generated tokens
$2.40<=128K $0.688$2.40128K-256K $2.064
Web search
per call when invoked
$0.01
Best fit
Qwen3.5 27B is a dense multimodal reasoning model with fast responses, 256K context, and text, image, and video understanding.
Endpoint
POST/v1/chat/completions
Pricing
Type
Spec
Rate
Input
per 1M prompt tokens
$0.10$0.09
Output
per 1M generated tokens
$0.15$0.13
Implicit cache read
per 1M cached input tokens
$0.045
Web Search (Linkup)
per call when invoked
$0.013
Best fit
Qwen3.5 9B is a compact multimodal reasoning model with 256K context, image and video input, function tools, and structured output.
Endpoint
POST/v1/chat/completions
Pricing
Type
Spec
Rate
Input
per 1M prompt tokens
$0.04
Output
per 1M generated tokens
$0.07
Implicit cache read
per 1M cached input tokens
$0.02
Web Search (Linkup)
per call when invoked
$0.013
Best fit
Qwen3.5 4B is a low-cost multimodal reasoning model with 256K context, image and video input, function tools, and structured output.
Endpoint
POST/v1/chat/completions
Pricing
Type
Spec
Rate
Input
per 1M prompt tokens
$0.10$0.090
Output
per 1M generated tokens
$0.40$0.368
Web search
per call when invoked
$0.015
Text-to-image search
per call when invoked
$0.012
Image-to-image search
per call when invoked
$0.012
Web extractor
per call when invoked
$0.00
Code interpreter
per call when invoked
$0.00
Best fit
Vision-language model with hybrid linear-attention plus sparse MoE, 1M context, and fast multimodal text/image/video inference.
Compare every model on the full pricing page

How to call Qwen3.5 models

Qwen3.5 Plus 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 qwen3-5-plus. For this family, swap the model value for any supported id: qwen3-5-plus qwen3-5-122b-a10b qwen3-5-397b-a17b qwen3-5-35b-a3b qwen3-5-27b qwen3-5-9b qwen3-5-4b qwen3-5-flash. 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": "qwen3-5-plus",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

Qwen3.5 examples and comparisons

See prompt tests, output notes, and comparison runs that mention this model family.

Qwen3.5 APIs: common questions

What is the Qwen3.5 API?

Qwen3.5 on EmpirioLabs is a family of 8 Text Generation model APIs from Alibaba Cloud: Qwen3.5 Plus, Qwen3.5 122B-A10B, Qwen3.5 397B-A17B, Qwen3.5 35B-A3B, Qwen3.5 27B, Qwen3.5 9B, Qwen3.5 4B, Qwen3.5 Flash. You use one EmpirioLabs API key and choose the model id that fits the request.

Which Qwen3.5 model should I use?

Start with the model whose dedicated page matches your speed, quality, and pricing needs, then test it in the EmpirioLabs playground. The comparison cards above link to each model's live rate card and quickstart.

Can I switch between Qwen3.5 models without rebuilding my integration?

Yes. The family is designed around the same EmpirioLabs API pattern, so most integrations switch by changing the model value. Check the model page before shipping if you rely on a model-specific parameter.

How is Qwen3.5 pricing shown?

Pricing is pay as you go. The cards on this page show a short live-catalog summary, and each model page shows the complete rate card that matches API billing.

Can I try Qwen3.5 in the browser?

Yes. Open any model page in this family and use its playground link to test prompts and parameters in the browser before integrating the API.

Ready to use better endpoints?

Check out our pricing or reach out if you want your own model deployed on our stack.