# Aion-3.0 vs Llama 3.1 Nemotron 70B Instruct - AI Model Comparison

- Page: https://opencode.ai/data/compare/aion-labs/aion-3-0/nvidia/llama-3-1-nemotron-70b-instruct

|  | Aion-3.0 | Llama 3.1 Nemotron 70B Instruct |
| --- | --- | --- |
| Lab | Aion Labs | NVIDIA |
| Context window | 131K | 128K |
| Max output | 33K | 8.2K |
| Input modalities | text | text |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-07-07 | 2025-04-15 |
| Input price per 1M tokens | $3.00 | $0.00 |
| Output price per 1M tokens | $6.00 | $0.00 |
| Cached input price per 1M tokens | $0.75 | - |
| OpenCode tokens: past 2 months | - | - |
| Share of all tokens | - | - |
| Rank by tokens last week | - | - |
| Unique users | - | - |
| Weekly retention | - | - |

Model pages: [Aion-3.0](https://opencode.ai/data/aion-labs/aion-3-0.md), [Llama 3.1 Nemotron 70B Instruct](https://opencode.ai/data/nvidia/llama-3-1-nemotron-70b-instruct.md)

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.