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Qwen3 5 4B API Pricing

By Alibaba · 1 providerempiriolabs/qwen3-5-4bCompare
Input / output
$0.04 / $0.07 per 1M tokens
Cache read
$0.02 / 1M
Context
256K tokens
Max output
32K tokens

As of November 7, 2026, Qwen3 5 4B costs $0.04 per 1M input tokens and $0.07 per 1M output tokens on EmpirioLabs AI, with cache reads at $0.02 per 1M tokens. It has a 262,144-token context window and returns up to 32,768 tokens per response.

Prices updated Checked

Qwen3 5 4B 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.

Qwen3 5 4B prices by provider in US dollars, token prices per 1M tokens, as of November 7, 2026. Source: LiteLLM model price file.
ProviderModel name in LiteLLMInputOutputCache readContext
EmpirioLabs AIempiriolabs/qwen3-5-4b$0.04$0.07$0.02256K

What Qwen3 5 4B costs in practice

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

EmpirioLabs AI$0.115

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

EmpirioLabs AI$0.414

Qwen3 5 4B cost calculator

At EmpirioLabs AI's price ($0.04 input, $0.07 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $0.75 a day, about $22.50 a month. Change the numbers for your workload, or compare it with other models.

Per request
$0.000075
Per day
$0.75
Per month (30 days)
$22.50

Qwen3 5 4B features

Input: text, image. Output: text.

Use Qwen3 5 4B with LiteLLM

Call Qwen3 5 4B 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="empiriolabs/qwen3-5-4b",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: qwen3-5-4b
    litellm_params:
      model: empiriolabs/qwen3-5-4b
      # 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 $LITELLM_API_KEY" \
  -d '{
    "model": "qwen3-5-4b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Qwen3 5 4B FAQ

How much does Qwen3 5 4B cost?

Qwen3 5 4B costs $0.04 per 1M input tokens and $0.07 per 1M output tokens on EmpirioLabs AI, with cache reads at $0.02 per 1M tokens.

What is the context window of Qwen3 5 4B?

Qwen3 5 4B has a 262,144-token context window and returns up to 32,768 tokens per response.

Which providers offer Qwen3 5 4B?

Qwen3 5 4B is available from EmpirioLabs AI through LiteLLM, using the model name empiriolabs/qwen3-5-4b.

How do I call Qwen3 5 4B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="empiriolabs/qwen3-5-4b", 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 5 4B support?

Qwen3 5 4B supports function calling, structured output, image input, reasoning and prompt caching.

When did LiteLLM add Qwen3 5 4B?

Qwen3 5 4B was added to LiteLLM's model price file on November 4, 2026.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change. Provider pricing pages:

LiteLLM docs: EmpirioLabs AI.

Provider pages: EmpirioLabs AI.