paperinstruments · Efficient
Ultramarine 1 Flash
Paper Instruments’ reasoning model for writing, knowledge work, and document tasks. Supports image inputs, tools, structured output, and low, high, or max reasoning effort. Reasoning is always enabled.
- Reasoning
- Tools
- Vision
- Structured output
- Parallel tools
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- low · high · max
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.15
- Output
- $0.50
- Cache read
- $0.03
Reference prices as published by the model provider. API example
Specifications
- Context window
- —
- Max output
- 32.8K
Side by side
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Public evaluations
Benchmarks
There are no public benchmark results for Ultramarine 1 Flash 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
- 70.8%
- About $0.065 per 1M input tokens with caching
- Request success (24h)
- 97.8%
- 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.
- 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.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "paperinstruments/ultramarine-1-flash",
"reasoning_effort": "low",
"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="paperinstruments/ultramarine-1-flash",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)