Side-by-side comparison
Llama 3.1 70B Hanami x1 vs Aion-1.0
Sao10K
Llama 3.1 70B Hanami x1
Input / 1M
$3.0000
Output / 1M
$3.0000
| Llama 3.1 70B Hanami x1 | Aion-1.0 | |
|---|---|---|
| Provider | Sao10K | AionLabs |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 16,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | text-only | text-only |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 3.0000 | 4.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 3.0000 | 8.0000 |
Frequently asked questions
Which is cheaper, Llama 3.1 70B Hanami x1 or Aion-1.0?
Llama 3.1 70B Hanami x1 is cheaper than Aion-1.0 on a 50/50 input/output blend by about $3 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Llama 3.1 70B Hanami x1 or Aion-1.0?
Aion-1.0 has the larger context window at 131k tokens versus 16k tokens for Llama 3.1 70B Hanami x1. That means Aion-1.0 can ingest about 8.2x as much text per request.
What is the difference between Llama 3.1 70B Hanami x1 and Aion-1.0?
Llama 3.1 70B Hanami x1 comes from Sao10K; Aion-1.0 comes from AionLabs. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.