NOUMENOpen app

fireworks · Frontier

Ember 1

Added Sep 24, 2026

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Use in the app

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

Ember 1 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Ember 1fireworksThis modelAbliterated Model Large V2abliterationRemove
Providerfireworksabliteration
Discovery tierFrontierFrontier
AddedSep 24, 2026Aug 31, 2026
Limits
Context window1.05M1.05M
Max output—999.99K
Average output3.3K tokens844 tokens
Pricing, USD per 1M tokens
Input$3.00$3.00
Output$15.00$5.00Best
Cache read$0.30$0.30
Performance
Throughput—154.6 tok/s
Time to first token—3.6 s
Request success (24h)—99.6%
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesNo
Structured outputYesYes
Reasoning effortnone, low, high, maxlow, high, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Ember 1
  • Abliterated Model Large V2
LeaderboardEmber 1Abliterated Model Large V2
CombinedNot in top 20#6 · 22.6%

Ranks among Noumen catalog models on Combined leaderboards. Only top-20 placements are listed.

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

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.

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)