Qwen3 32B API Pricing
As of October 10, 2026, Qwen3 32B costs $0.08 per 1M input tokens and $0.23 per 1M output tokens from OVHcloud, the lowest of 11 providers. It has a 32,000-token context window and returns up to 32,000 tokens per response.
- Input
- $0.08 / 1M tokens
- Output
- $0.23 / 1M tokens
- Context window
- 32,000 tokens
- Max output
- 32,000 tokens
- Providers
- 11
- Added to LiteLLM
- May 2025
Qwen3 32B pricing by provider
11 listings across 11 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| OVHcloud | ovhcloud/Qwen3-32B | $0.08 | $0.23 | 32K |
| Amazon Bedrock | qwen.qwen3-32b-v1:0 | $0.15 | $0.60 | 32K |
| Amazon Bedrock Mantle | bedrock_mantle/qwen.qwen3-32b | $0.15 | $0.60 | 32K |
| Cerebras | cerebras/qwen-3-32b | $0.40 | $0.80 | 128K |
| DeepInfra | deepinfra/Qwen/Qwen3-32B | $0.08 | $0.28 | 40K |
| Fireworks AI † | fireworks_ai/accounts/fireworks/models/qwen3-32b | $0.90 | $0.90 | 128K |
| GradientAI | gradient_ai/alibaba-qwen3-32b | – | – | 128K |
| Nebius AI Studio | nebius/Qwen/Qwen3-32B | $0.10 | $0.30 | 40K |
| Vercel AI Gateway | vercel_ai_gateway/alibaba/qwen-3-32b | $0.10 | $0.30 | 40K |
| Lambdafp8 | lambda_ai/qwen3-32b-fp8 | $0.05 | $0.10 | 128K |
| Novita AIfp8 | novita/qwen/qwen3-32b-fp8 | $0.10 | $0.45 | 40K |
† This price differs from the other providers by more than 8x and is left out of the headline price. Check the provider's pricing page.
What Qwen3 32B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| OVHcloud | $0.275 |
| DeepInfra | $0.30 |
| Nebius AI Studio | $0.35 |
| Vercel AI Gateway | $0.35 |
Qwen3 32B features
- Function calling
- Parallel tool calls
- Structured output
- Reasoning
Use Qwen3 32B with LiteLLM
Call Qwen3 32B 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="ovhcloud/Qwen3-32B",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3-32b
litellm_params:
model: ovhcloud/Qwen3-32B
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "qwen3-32b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3 32B FAQ
How much does Qwen3 32B cost?
Qwen3 32B costs $0.08 per 1M input tokens and $0.23 per 1M output tokens from OVHcloud, the lowest of 11 providers.
What is the context window of Qwen3 32B?
Qwen3 32B has a 32,000-token context window and returns up to 32,000 tokens per response.
Which providers offer Qwen3 32B?
Qwen3 32B is available from 11 providers through LiteLLM: OVHcloud, Amazon Bedrock, Amazon Bedrock Mantle, Cerebras, DeepInfra, Fireworks AI, GradientAI, Nebius AI Studio, Vercel AI Gateway, Lambda and Novita AI. The lowest price is on OVHcloud.
How do I call Qwen3 32B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="ovhcloud/Qwen3-32B", 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 32B support?
Qwen3 32B supports function calling, parallel tool calls, structured output and reasoning.
When did LiteLLM add Qwen3 32B?
Qwen3 32B was added to LiteLLM's model price file in May 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:
- www.ovhcloud.com/en/public-cloud/ai-endpoints/catalog/
- docs.aws.amazon.com/bedrock/latest/userguide/model-card-qwen-qwen3-32b.html
- inference-docs.cerebras.ai/support/pricing
- deepinfra.com/pricing
LiteLLM docs: OVHcloud, Amazon Bedrock, Cerebras, DeepInfra, Fireworks AI, GradientAI.
Provider pages: OVHcloud, Amazon Bedrock, Amazon Bedrock Mantle, Cerebras, DeepInfra, Fireworks AI, GradientAI, Nebius AI Studio, Vercel AI Gateway, Lambda, Novita AI.
