LiteLLMModels

Qwen3 VL 30B A3B Thinking API Pricing

As of October 10, 2026, Qwen3 VL 30B A3B Thinking costs $0.15 per 1M input tokens and $0.60 per 1M output tokens from Fireworks AI, the lowest of 2 providers. It has a 262,144-token context window and returns up to 262,144 tokens per response.

By AlibabaModel ID fireworks_ai/accounts/fireworks/models/qwen3-vl-30b-a3b-thinkingPrices updated Checked
Input
$0.15 / 1M tokens
Output
$0.60 / 1M tokens
Context window
262,144 tokens
Max output
262,144 tokens
Providers
2
Added to LiteLLM
December 2025

Qwen3 VL 30B A3B Thinking 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 LiteLLMInputOutputContext
Fireworks AIfireworks_ai/accounts/fireworks/models/qwen3-vl-30b-a3b-thinking$0.15$0.60256K
Novita AInovita/qwen/qwen3-vl-30b-a3b-thinking$0.20$1.00128K

What Qwen3 VL 30B A3B Thinking costs in practice

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

Fireworks AI$0.60
Novita AI$0.90

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

Fireworks AI$1.62
Novita AI$2.20

Qwen3 VL 30B A3B Thinking features

Use Qwen3 VL 30B A3B Thinking with LiteLLM

Call Qwen3 VL 30B A3B Thinking 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="fireworks_ai/accounts/fireworks/models/qwen3-vl-30b-a3b-thinking",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: qwen3-vl-30b-a3b-thinking
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/qwen3-vl-30b-a3b-thinking
      api_key: os.environ/FIREWORKS_AI_API_KEY
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-vl-30b-a3b-thinking",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Qwen3 VL 30B A3B Thinking FAQ

How much does Qwen3 VL 30B A3B Thinking cost?

Qwen3 VL 30B A3B Thinking costs $0.15 per 1M input tokens and $0.60 per 1M output tokens from Fireworks AI, the lowest of 2 providers.

What is the context window of Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking has a 262,144-token context window and returns up to 262,144 tokens per response.

Which providers offer Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking is available from 2 providers through LiteLLM: Fireworks AI and Novita AI. The lowest price is on Fireworks AI.

How do I call Qwen3 VL 30B A3B Thinking with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/qwen3-vl-30b-a3b-thinking", 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 VL 30B A3B Thinking support?

Qwen3 VL 30B A3B Thinking supports function calling, parallel tool calls, structured output and image input.

When did LiteLLM add Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking was added to LiteLLM's model price file in December 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.

LiteLLM docs: Fireworks AI.

Provider pages: Fireworks AI, Novita AI.