Last refreshed 2026-09-30. Next refresh: weekly.
Why use Firefunction V1 on Fireworks AI?
Fireworks AI offers Firefunction V1 with pay-as-you-go pricing at $0.50/1M 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"],accounts/fireworks/models/firefunction-v1Request 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="accounts/fireworks/models/firefunction-v1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/firefunction-v1", not the LLMReference slug "firefunction-v1".
- 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 | $0.50 |
| Output tokens | $0.50 |
Capabilities
No model capability flags are currently sourced.
About Firefunction V1
FireFunction V1 is a cutting-edge function-calling large language model developed by Fireworks AI. It is tailored for real-world applications that demand structured information generation and decision-making through routing. The model boasts near GPT-4 level quality in handling such tasks and processes data approximately four times faster than GPT-4 when operated on the Fireworks platform. A standout feature is its "any" parameter in tool_choice, ensuring a persistent selection of functions. Additionally, it offers seamless integration due to API compatibility with OpenAI's function-calling API, allowing smooth incorporation into existing systems.