fetchai · Efficient
ASI1 Mini
ASI-1 Mini introduces next-level adaptive reasoning, context-aware decision-making. It features native reasoning support with four dynamic reasoning modes, intelligently selecting from Multi-Step, Complete, Optimized, and Short Reasoning, balancing depth, efficiency, and precision. Whether tackling complex, multi-layered problems or delivering concise, high-impact insights, ASI-1 Mini ensures reasoning is always tailored to the task at hand. Note: this model is rate limited at the moment.
- PDF input
- Input
- Text
- Output
- Text
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $1.00
- Output
- $1.00
Reference prices as published by the model provider. API example
Specifications
- Context window
- 128K
- Max output
- 16.4K
Side by side
ASI1 Mini compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| ASI1 MinifetchaiThis model | Abliterated Large FlashabliterationRemove | |
|---|---|---|
| Provider | fetchai | abliteration |
| Discovery tier | Efficient | Efficient |
| Added | Mar 25, 2025 | Oct 23, 2026 |
| Limits | ||
| Context window | 128K | 1.05MBest |
| Max output | 16.38K | 262.14KBest |
| Average output | — | 1.1K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.00 | $1.00 |
| Output | $1.00Best | $2.00 |
| Cache read | — | $0.10 |
| Performance | ||
| Throughput | — | 273.1 tok/s |
| Time to first token | — | 4.3 s |
| Request success (24h) | — | 98.9% |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | No | Yes |
| Structured output | No | Yes |
| PDF input | Yes | No |
| Parallel tools | No | Yes |
| Reasoning effort | — | none, minimal, low, medium, high, xhigh, max |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
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": "asi1-mini",
"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="asi1-mini",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)