LiteLLMModels

Qwen3 235B A22B Instruct 2507 API Pricing

As of October 10, 2026, Qwen3 235B A22B Instruct 2507 costs $0.09 per 1M input tokens and $0.58 per 1M output tokens from Novita AI, the lowest of 8 providers. It has a 131,072-token context window and returns up to 16,384 tokens per response.

By AlibabaModel ID novita/qwen/qwen3-235b-a22b-instruct-2507Prices updated Checked
Input
$0.09 / 1M tokens
Output
$0.58 / 1M tokens
Context window
131,072 tokens
Max output
16,384 tokens
Providers
8
Added to LiteLLM
August 2025

Qwen3 235B A22B Instruct 2507 pricing by provider

8 listings across 8 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputBatch inBatch outContext
Novita AInovita/qwen/qwen3-235b-a22b-instruct-2507$0.09$0.58––128K
Crusoe †crusoe/Qwen/Qwen3-235B-A22B-Instruct-2507$3.00$3.00––256K
DeepInfradeepinfra/Qwen/Qwen3-235B-A22B-Instruct-2507$0.09$0.55––256K
Fireworks AIfireworks_ai/accounts/fireworks/models/qwen3-235b-a22b-instruct-2507$0.22$0.88––256K
Google Vertex AIvertex_ai/qwen/qwen3-235b-a22b-instruct-2507-maas$0.22$0.88$0.11$0.44256K
Nebius AI Studionebius/Qwen/Qwen3-235B-A22B-Instruct-2507$0.20$0.60––256K
Replicatereplicate/qwen/qwen3-235b-a22b-instruct-2507$0.264$1.06–––
Scalewayscaleway/qwen/qwen3-235b-a22b-instruct-2507$0.75$2.25––256K

† 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 235B A22B Instruct 2507 costs in practice

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

Novita AI$0.47
DeepInfra$0.455
Nebius AI Studio$0.70
Fireworks AI$0.88

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

Novita AI$1.016
DeepInfra$1.01
Nebius AI Studio$2.12
Fireworks AI$2.376

Qwen3 235B A22B Instruct 2507 features

Use Qwen3 235B A22B Instruct 2507 with LiteLLM

Call Qwen3 235B A22B Instruct 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="novita/qwen/qwen3-235b-a22b-instruct-2507",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: qwen3-235b-a22b-instruct-2507
    litellm_params:
      model: novita/qwen/qwen3-235b-a22b-instruct-2507
      # credentials: see the provider's LiteLLM docs page
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-instruct-2507",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Qwen3 235B A22B Instruct 2507 FAQ

How much does Qwen3 235B A22B Instruct 2507 cost?

Qwen3 235B A22B Instruct 2507 costs $0.09 per 1M input tokens and $0.58 per 1M output tokens from Novita AI, the lowest of 8 providers.

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

Qwen3 235B A22B Instruct 2507 has a 131,072-token context window and returns up to 16,384 tokens per response.

Which providers offer Qwen3 235B A22B Instruct 2507?

Qwen3 235B A22B Instruct 2507 is available from 8 providers through LiteLLM: Novita AI, Crusoe, DeepInfra, Fireworks AI, Google Vertex AI, Nebius AI Studio, Replicate and Scaleway. The lowest price is on Novita AI.

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

Use the LiteLLM Python SDK with model="novita/qwen/qwen3-235b-a22b-instruct-2507", 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 Instruct 2507 support?

Qwen3 235B A22B Instruct 2507 supports function calling, parallel tool calls and structured output.

When did LiteLLM add Qwen3 235B A22B Instruct 2507?

Qwen3 235B A22B Instruct 2507 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: Crusoe, DeepInfra, Fireworks AI, Google Vertex AI, Nebius AI Studio, Replicate.

Provider pages: Novita AI, Crusoe, DeepInfra, Fireworks AI, Google Vertex AI, Nebius AI Studio, Replicate, Scaleway.