Last refreshed 2026-04-15. Next refresh: weekly.
Why use DeepSeek Coder 1.3B on Fireworks AI?
Fireworks AI offers DeepSeek Coder 1.3B with pay-as-you-go pricing at $0.10/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Setup recipe
Python + curlpip install openaiexport FIREWORKS_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],deepseek-coder-1.3bRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="deepseek-coder-1.3b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.10 |
Capabilities
No model capability flags are currently sourced.
About DeepSeek Coder 1.3B
DeepSeek Coder 1.3B is a robust language model designed for coding tasks, featuring 1.3 billion parameters. It's adept in code generation and completion, trained on an expansive dataset of 2 trillion tokens, primarily consisting of various programming languages and supplemented with English and Chinese natural language data. This extensive training allows the model to excel in tasks like repository-level code completion and project-level tasks, supported by a 16K context window. Instruction-tuned and quantized versions are available, balancing model size with performance, though quantization can affect quality. Despite its strengths, the model's focus is mostly on computer science, and it may offer technically correct yet impractical solutions, influenced by hardware capabilities.
FAQ
What does DeepSeek Coder 1.3B cost on Fireworks AI?
On Fireworks AI, DeepSeek Coder 1.3B costs $0.10 per 1M input tokens and $0.10 per 1M output tokens.
What is the context window for DeepSeek Coder 1.3B on Fireworks AI?
DeepSeek Coder 1.3B supports a 4,096 token context window on Fireworks AI.
Who created DeepSeek Coder 1.3B?
DeepSeek Coder 1.3B was created by DeepSeek as part of the DeepSeek Coder model family.
Is DeepSeek Coder 1.3B open source?
DeepSeek Coder 1.3B is open source according to the seed data.