Last refreshed 2026-09-29. Next refresh: weekly.
Why use Stable Code 3B on Fireworks AI?
Fireworks AI offers Stable Code 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"],stable-code-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="stable-code-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 Stable Code 3B
Stable Code 3B, developed by Stability AI, is a 3-billion parameter large language model tailored for code completion. It offers competitive performance comparable to larger models like CodeLLaMA 7b while maintaining a smaller size, enabling it to run efficiently on typical laptops without a dedicated GPU. Beyond code completion, it supports features like "Fill in the Middle" capability and handling contexts up to 16,384 tokens, covering 18 programming languages. Its decoder-only transformer architecture, enhanced with Rotary Position Embeddings, relies on diverse open-source datasets.