agnes · Efficient

Agnes 3.0 Flash

Added Sep 9, 2026

Agnes 3.0 Flash is a low-cost model for coding, tool use, and multi-turn agent tasks. It supports text and image input, optional thinking, and a 512K-token context window.

Reasoning
Tools
Vision

Input: Text, Images
Output: Text
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $0.05
Output: $0.15
Cache read: $0.005

Reference prices as published by the model provider. API example

Specifications

Context window: 524.3K
Max output: 65.5K
Average output (7 days): 864 tokens; Longer than 67% of 468 models

Side by side

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Public evaluations

Benchmarks

There are no public benchmark results for Agnes 3.0 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.

Throughput: 70.3 tok/s; Faster than 45% of 254 models
Time to first token: 6.5 s; Quicker than 25% of 254 models
Prompt cache hits: 92.5%; About $0.0084 per 1M input tokens with caching
Request success (24h): 90.5%; Unstable

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 66.6%

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": "agnes-3.0-flash",
    "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="agnes-3.0-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)