agnes · Efficient
Agnes 3.0 Flash
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
Agnes 3.0 Flash compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Agnes 3.0 FlashagnesThis model | LFM2.5 24B A2BliquidRemove | |
|---|---|---|
| Provider | agnes | liquid |
| Discovery tier | Efficient | Efficient |
| Added | Sep 9, 2026 | Oct 14, 2026 |
| Limits | ||
| Context window | 524.29KBest | 128K |
| Max output | 65.54KBest | 8.19K |
| Average output | 864 tokens | 5.1K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.05 | $0.05 |
| Output | $0.15Best | $0.70 |
| Cache read | $0.005Best | $0.025 |
| Performance | ||
| Throughput | 75.9 tok/s | — |
| Time to first token | 5.2 s | — |
| Request success (24h) | 90.8% | 100.0%Best |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | No |
| Structured output | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models 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
- 75.9 tok/s
- Faster than 54% of 259 models
- Time to first token
- 5.2 s
- Quicker than 32% of 259 models
- Prompt cache hits
- 92.5%
- About $0.0084 per 1M input tokens with caching
- Request success (24h)
- 90.9%
- 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.
- 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": "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)