DeepSeek Coder 6.7B API Pricing
As of October 10, 2026, DeepSeek Coder 6.7B costs $0.06 per 1M input tokens and $0.12 per 1M output tokens on LlamaGate. It has a 16,384-token context window and returns up to 4,096 tokens per response.
- Input
- $0.06 / 1M tokens
- Output
- $0.12 / 1M tokens
- Context window
- 16,384 tokens
- Max output
- 4,096 tokens
- Providers
- 1
- Added to LiteLLM
- January 2026
DeepSeek Coder 6.7B 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.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| LlamaGate | llamagate/deepseek-coder-6.7b | $0.06 | $0.12 | 16K |
What DeepSeek Coder 6.7B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| LlamaGate | $0.18 |
DeepSeek Coder 6.7B features
- Function calling
- Structured output
Use DeepSeek Coder 6.7B with LiteLLM
Call DeepSeek Coder 6.7B 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.
from litellm import completion
response = completion(
model="llamagate/deepseek-coder-6.7b",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: deepseek-coder-6.7b
litellm_params:
model: llamagate/deepseek-coder-6.7b
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "deepseek-coder-6.7b",
"messages": [{"role": "user", "content": "Hello!"}]
}'DeepSeek Coder 6.7B FAQ
How much does DeepSeek Coder 6.7B cost?
DeepSeek Coder 6.7B costs $0.06 per 1M input tokens and $0.12 per 1M output tokens on LlamaGate.
What is the context window of DeepSeek Coder 6.7B?
DeepSeek Coder 6.7B has a 16,384-token context window and returns up to 4,096 tokens per response.
Which providers offer DeepSeek Coder 6.7B?
DeepSeek Coder 6.7B is available from LlamaGate through LiteLLM, using the model name llamagate/deepseek-coder-6.7b.
How do I call DeepSeek Coder 6.7B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="llamagate/deepseek-coder-6.7b", 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 Coder 6.7B support?
DeepSeek Coder 6.7B supports function calling and structured output.
When did LiteLLM add DeepSeek Coder 6.7B?
DeepSeek Coder 6.7B 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.
