LLM Reference
Fireworks AI

Ember-1 on Fireworks AI

Ember · Fireworks AI

ServerlessProvisioned

Last refreshed 2026-09-24. Next refresh: weekly.

Why use Ember-1 on Fireworks AI?

Fireworks AI offers Ember-1 with pay-as-you-go pricing at $3.00/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Compare Ember-1 across 2 providers to find the best fit for your use case
Input / 1M
$3.00
Output / 1M
$15.00
Cache
read $0.30
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FIREWORKS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
Model ID
accounts/fireworks/models/ember-1

Request 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/ember-1",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "accounts/fireworks/models/ember-1", not the LLMReference slug "ember-1".
  • 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.

Compare Ember-1 Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$3.00$15.00
OpenRouter$3.00$15.00

Pricing

TypePrice (per 1M)
Input tokens$3.00
Output tokens$15.00

Capabilities

VisionMultimodalReasoningJSON / Tool usePrompt Caching

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.

Get Started

Model Specs

Released2026-09-23
Parameters2.78T
Context1.04m
ArchitectureMixture of Experts