Last refreshed 2026-05-19. Next refresh: weekly.
Why use StarCoder on Fireworks AI?
Fireworks AI offers StarCoder with pay-as-you-go pricing at $0.20/1M 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"],starcoderRequest 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="starcoder",
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 | $0.20 |
| Output tokens | $0.20 |
Capabilities
No model capability flags are currently sourced.
About StarCoder
StarCoder is a specialized large language model developed for code generation and understanding, as part of a collaboration between Hugging Face and ServiceNow under the BigCode project. It utilizes a decoder-only transformer architecture with multi-query attention and an 8192-token context window. The base model, StarCoderBase, contains 15.5 billion parameters and is trained on 1 trillion tokens sourced from GitHub data, covering various programming languages and use cases. StarCoder is a fine-tuned version that includes an additional 35 billion Python-specific tokens, achieving excellent performance in Python-related tasks.