Last refreshed 2026-05-19. Next refresh: weekly.
Why use StarCoder2 3B on Fireworks AI?
Fireworks AI offers StarCoder2 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"],starcoder2-3bRequest 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="starcoder2-3b",
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 StarCoder2 3B
StarCoder2-3B is a 3-billion parameter large language model developed by the BigCode project, focusing on code generation tasks. Its architecture features a transformer decoder with grouped-query and sliding window attention, trained using the Fill-in-the-Middle objective. The model supports a context window of 16,384 tokens, allowing it to handle large contexts for tasks like code completion and translation across 17 programming languages. However, it is not designed for direct instruction-following.