Qwen3 Coder 480B A35B Instruct Turbo API Pricing
As of October 10, 2026, Qwen3 Coder 480B A35B Instruct Turbo costs $0.30 per 1M input tokens and $1.00 per 1M output tokens on DeepInfra, with cache reads at $0.10 per 1M tokens. It has a 262,144-token context window and returns up to 262,144 tokens per response.
- Input
- $0.30 / 1M tokens
- Output
- $1.00 / 1M tokens
- Cache read
- $0.10 / 1M tokens
- Context window
- 262,144 tokens
- Max output
- 262,144 tokens
- Providers
- 1
- Added to LiteLLM
- August 2025
Qwen3 Coder 480B A35B Instruct Turbo pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| DeepInfra | deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo | $0.30 | $1.00 | $0.10 | 256K |
What Qwen3 Coder 480B A35B Instruct Turbo costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| DeepInfra | $1.10 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| DeepInfra | $3.20 |
Qwen3 Coder 480B A35B Instruct Turbo features
- Function calling
- Prompt caching
Use Qwen3 Coder 480B A35B Instruct Turbo with LiteLLM
Call Qwen3 Coder 480B A35B Instruct Turbo through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3-coder-480b-a35b-instruct-turbo
litellm_params:
model: deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo
api_key: os.environ/DEEPINFRA_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "qwen3-coder-480b-a35b-instruct-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3 Coder 480B A35B Instruct Turbo FAQ
How much does Qwen3 Coder 480B A35B Instruct Turbo cost?
Qwen3 Coder 480B A35B Instruct Turbo costs $0.30 per 1M input tokens and $1.00 per 1M output tokens on DeepInfra, with cache reads at $0.10 per 1M tokens.
What is the context window of Qwen3 Coder 480B A35B Instruct Turbo?
Qwen3 Coder 480B A35B Instruct Turbo has a 262,144-token context window and returns up to 262,144 tokens per response.
Which providers offer Qwen3 Coder 480B A35B Instruct Turbo?
Qwen3 Coder 480B A35B Instruct Turbo is available from DeepInfra through LiteLLM, using the model name deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo.
How do I call Qwen3 Coder 480B A35B Instruct Turbo with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does Qwen3 Coder 480B A35B Instruct Turbo support?
Qwen3 Coder 480B A35B Instruct Turbo supports function calling and prompt caching.
When did LiteLLM add Qwen3 Coder 480B A35B Instruct Turbo?
Qwen3 Coder 480B A35B Instruct Turbo was added to LiteLLM's model price file in August 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: DeepInfra.
Provider pages: DeepInfra.
