LiteLLMModels

DeepSeek R1 Distill Qwen 1.5B API Pricing

As of October 10, 2026, DeepSeek R1 Distill Qwen 1.5B costs $0.09 per 1M input tokens and $0.09 per 1M output tokens from Nscale, the lowest of 3 providers. It has a 131,072-token context window and returns up to 131,072 tokens per response.

By DeepSeekModel ID nscale/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5BPrices updated Checked
Input
$0.09 / 1M tokens
Output
$0.09 / 1M tokens
Context window
131,072 tokens
Max output
131,072 tokens
Providers
3
Added to LiteLLM
May 2025

DeepSeek R1 Distill Qwen 1.5B pricing by provider

3 listings across 3 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputContext
Nscalenscale/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B$0.09$0.09–
Fireworks AIfireworks_ai/accounts/fireworks/models/deepseek-r1-distill-qwen-1p5b$0.10$0.10128K
Together AItogether_ai/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B$0.18$0.18128K

What DeepSeek R1 Distill Qwen 1.5B costs in practice

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

Nscale$0.225
Fireworks AI$0.25
Together AI$0.45

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

Nscale$0.918
Fireworks AI$1.02
Together AI$1.836

Use DeepSeek R1 Distill Qwen 1.5B with LiteLLM

Call DeepSeek R1 Distill Qwen 1.5B 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="nscale/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: deepseek-r1-distill-qwen-1.5b
    litellm_params:
      model: nscale/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
      # 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-distill-qwen-1.5b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

DeepSeek R1 Distill Qwen 1.5B FAQ

How much does DeepSeek R1 Distill Qwen 1.5B cost?

DeepSeek R1 Distill Qwen 1.5B costs $0.09 per 1M input tokens and $0.09 per 1M output tokens from Nscale, the lowest of 3 providers.

What is the context window of DeepSeek R1 Distill Qwen 1.5B?

DeepSeek R1 Distill Qwen 1.5B has a 131,072-token context window and returns up to 131,072 tokens per response.

Which providers offer DeepSeek R1 Distill Qwen 1.5B?

DeepSeek R1 Distill Qwen 1.5B is available from 3 providers through LiteLLM: Nscale, Fireworks AI and Together AI. The lowest price is on Nscale.

How do I call DeepSeek R1 Distill Qwen 1.5B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="nscale/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B", 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.

When did LiteLLM add DeepSeek R1 Distill Qwen 1.5B?

DeepSeek R1 Distill Qwen 1.5B 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:

LiteLLM docs: Nscale, Fireworks AI, Together AI.

Provider pages: Nscale, Fireworks AI, Together AI.