LiteLLMModels

DeepSeek R1 7B Qwen API Pricing

As of October 10, 2026, DeepSeek R1 7B Qwen costs $0.08 per 1M input tokens and $0.15 per 1M output tokens on LlamaGate. It has a 131,072-token context window and returns up to 16,384 tokens per response.

By DeepSeekModel ID llamagate/deepseek-r1-7b-qwenPrices updated Checked
Input
$0.08 / 1M tokens
Output
$0.15 / 1M tokens
Context window
131,072 tokens
Max output
16,384 tokens
Providers
1
Added to LiteLLM
January 2026

DeepSeek R1 7B Qwen 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.

ProviderModel name in LiteLLMInputOutputContext
LlamaGatellamagate/deepseek-r1-7b-qwen$0.08$0.15128K

What DeepSeek R1 7B Qwen costs in practice

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

LlamaGate$0.235

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

LlamaGate$0.83

DeepSeek R1 7B Qwen features

Use DeepSeek R1 7B Qwen with LiteLLM

Call DeepSeek R1 7B Qwen 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="llamagate/deepseek-r1-7b-qwen",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: deepseek-r1-7b-qwen
    litellm_params:
      model: llamagate/deepseek-r1-7b-qwen
      # 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": "deepseek-r1-7b-qwen",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

DeepSeek R1 7B Qwen FAQ

How much does DeepSeek R1 7B Qwen cost?

DeepSeek R1 7B Qwen costs $0.08 per 1M input tokens and $0.15 per 1M output tokens on LlamaGate.

What is the context window of DeepSeek R1 7B Qwen?

DeepSeek R1 7B Qwen has a 131,072-token context window and returns up to 16,384 tokens per response.

Which providers offer DeepSeek R1 7B Qwen?

DeepSeek R1 7B Qwen is available from LlamaGate through LiteLLM, using the model name llamagate/deepseek-r1-7b-qwen.

How do I call DeepSeek R1 7B Qwen with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="llamagate/deepseek-r1-7b-qwen", 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 DeepSeek R1 7B Qwen support?

DeepSeek R1 7B Qwen supports function calling, structured output and reasoning.

When did LiteLLM add DeepSeek R1 7B Qwen?

DeepSeek R1 7B Qwen was added to LiteLLM's model price file in January 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.

LiteLLM docs: LlamaGate.

Provider pages: LlamaGate.