fireworks · Frontier

Ember 1

Added Sep 24, 2026

Fireworks Research reasoning model built on Kimi K3. It accepts text and images, supports tool calling and structured output, and has a 1M-token context window.

Reasoning
Tools
Vision
Structured output

Input: Text, Images
Output: Text
Reasoning effort: none · low · high · max
Discovery tier: Frontier

Pricing

USD per 1M tokens

Input: $3.00
Output: $15.00
Cache read: $0.30

Reference prices as published by the model provider. API example

Specifications

Context window: 1M
Max output: —
Average output (7 days): 3.3K tokens; Longer than 97% of 473 models

Side by side

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Public evaluations

Benchmarks

There are no public benchmark results for Ember 1 yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits: 82.4%; About $0.77 per 1M input tokens with caching
Request success (24h): 100.0%; Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 100.0%

Healthy (98% or more)
Degraded (90–98%)
Down (under 90%)
No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "fireworks/ember-1",
    "reasoning_effort": "none",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="fireworks/ember-1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)