aionlabs · Efficient
AionLabs: Aion 3.0 Mini
Aion 3.0 Mini is a DeepSeek-family collaborative generation model tuned for immersive roleplay and storytelling, with stronger narrative structure, tension, conflict, and nuanced mature themes.
- Reasoning
- Tools
- Input
- Text
- Output
- Text
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.70
- Output
- $1.40
- Cache read
- $0.18
Reference prices as published by the model provider. API example
Specifications
- Context window
- 131.1K
- Max output
- 32.8K
- Average output (7 days)
- 1K tokens
- Longer than 71% of 473 models
Side by side
AionLabs: Aion 3.0 Mini compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| AionLabs: Aion 3.0 MiniaionlabsThis model | Amazon Nova 2 LiteamazonRemove | |
|---|---|---|
| Provider | aionlabs | amazon |
| Discovery tier | Efficient | Efficient |
| Added | Jul 7, 2026 | Jan 1, 2024 |
| Limits | ||
| Context window | 131.07K | 1MBest |
| Max output | 32.77K | 65.54KBest |
| Average output | 1K tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $0.70 | $0.51Best |
| Output | $1.40Best | $4.25 |
| Cache read | $0.18 | — |
| Performance | ||
| Throughput | 61.4 tok/s | — |
| Time to first token | 3.0 s | — |
| Request success (24h) | 100.0% | — |
| Benchmark indexes | ||
| Intelligence Index | — | 8.7 |
| Math Index | — | 33.7 |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- AionLabs: Aion 3.0 Mini
- Amazon Nova 2 Lite
Intelligence Index
- AionLabs: Aion 3.0 Mini—
- Amazon Nova 2 Lite8.7
Indexes
Math Index
Composite of the math evaluations
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 33.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 18.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 2.9%
GPQA Diamond
Graduate-level science questions
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 60.3%
MMLU-Pro
Multi-subject knowledge and reasoning
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 74.3%
IFBench
Following precise output instructions
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 40.5%
Coding
LiveCodeBench
Recent competitive programming problems
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 34.6%
Math
AIME 2025
Competition mathematics, 2025 problems
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 33.7%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 6.8%
τ²-Bench Telecom
Tool use in a customer-support simulation
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 62.0%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- AionLabs: Aion 3.0 Mini: —
- Amazon Nova 2 Lite: 18.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
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
- 61.4 tok/s
- Faster than 43% of 260 models
- Time to first token
- 3.0 s
- Quicker than 52% of 260 models
- Prompt cache hits
- 59.8%
- About $0.39 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- 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": "aion-labs/aion-3.0-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="aion-labs/aion-3.0-mini",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)aionlabs
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