LiteLLMModels

Qwen3 235B A22B 2507 API Pricing

As of October 10, 2026, Qwen3 235B A22B 2507 costs $0.22 per 1M input tokens and $0.88 per 1M output tokens from Amazon Bedrock, the lowest of 2 providers. It has a 262,144-token context window and returns up to 8,192 tokens per response.

By AlibabaModel ID qwen.qwen3-235b-a22b-2507-v1:0Prices updated Checked
Input
$0.22 / 1M tokens
Output
$0.88 / 1M tokens
Context window
262,144 tokens
Max output
8,192 tokens
Providers
2
Added to LiteLLM
July 2025

Qwen3 235B A22B 2507 pricing by provider

2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputBatch inBatch outContext
Amazon Bedrockqwen.qwen3-235b-a22b-2507-v1:0$0.22$0.88$0.11$0.44256K
Amazon Bedrock Mantlebedrock_mantle/qwen.qwen3-235b-a22b-2507$0.22$0.88––256K

Other Qwen3 235B A22B 2507 prices on Amazon Bedrock

Flex input$0.11 per 1M tokens
Flex output$0.44 per 1M tokens

What Qwen3 235B A22B 2507 costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Amazon Bedrock$0.88
Amazon Bedrock Mantle$0.88
Amazon Bedrock batch$0.44

100 long-document requests with 100,000 input and 2,000 output tokens each

Amazon Bedrock$2.376
Amazon Bedrock Mantle$2.376

Qwen3 235B A22B 2507 features

Use Qwen3 235B A22B 2507 with LiteLLM

Call Qwen3 235B A22B 2507 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.

Python SDK
from litellm import completion

response = completion(
    model="qwen.qwen3-235b-a22b-2507-v1:0",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: qwen3-235b-a22b-2507
    litellm_params:
      model: qwen.qwen3-235b-a22b-2507-v1:0
      aws_region_name: os.environ/AWS_REGION_NAME
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "qwen3-235b-a22b-2507",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Qwen3 235B A22B 2507 FAQ

How much does Qwen3 235B A22B 2507 cost?

Qwen3 235B A22B 2507 costs $0.22 per 1M input tokens and $0.88 per 1M output tokens from Amazon Bedrock, the lowest of 2 providers. Batch requests cost $0.11 per 1M input tokens and $0.44 per 1M output tokens.

What is the context window of Qwen3 235B A22B 2507?

Qwen3 235B A22B 2507 has a 262,144-token context window and returns up to 8,192 tokens per response.

Which providers offer Qwen3 235B A22B 2507?

Qwen3 235B A22B 2507 is available from 2 providers through LiteLLM: Amazon Bedrock and Amazon Bedrock Mantle.

How do I call Qwen3 235B A22B 2507 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="qwen.qwen3-235b-a22b-2507-v1:0", 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 235B A22B 2507 support?

Qwen3 235B A22B 2507 supports function calling and reasoning.

When did LiteLLM add Qwen3 235B A22B 2507?

Qwen3 235B A22B 2507 was added to LiteLLM's model price file in July 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: Amazon Bedrock.

Provider pages: Amazon Bedrock, Amazon Bedrock Mantle.