Fireworks AI exposes Ember-1 through model ID accounts/fireworks/models/ember-1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-09-24. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/ember-1— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/ember-1Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
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/ember-1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $3.00 |
| Output tokens | $15.00 |
Capabilities
About Ember-1
Ember-1 is Fireworks Research's specialized foundation model announced September 23, 2026, the first model in the Ember series. Built on Kimi K3 and trained by Fireworks (50+ training experiments; Fireworks Serverless Training) to shorten reasoning traces (~40% fewer tokens while holding quality on Fireworks' evaluations and live A/B tests). Fireworks markets Ember-1 as its own model, a Research Preview on Serverless alongside base Kimi K3, and catalogs it as Fireworks Ember rather than a Kimi family member.