Side-by-side comparison
Llama 3 Euryale 70B v2.1 vs GLM 4.5 Air
Sao10K
Llama 3 Euryale 70B v2.1
🔧 Tools
Input / 1M
$1.4800
Output / 1M
$1.4800
| Llama 3 Euryale 70B v2.1 | GLM 4.5 Air | |
|---|---|---|
| Provider | Sao10K | Z.ai |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 8,192 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools | tools |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 1.4800 | 0.1300 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.4800 | 0.8500 |
Frequently asked questions
Which is cheaper, Llama 3 Euryale 70B v2.1 or GLM 4.5 Air?
GLM 4.5 Air is cheaper than Llama 3 Euryale 70B v2.1 on a 50/50 input/output blend by about $0.99 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 Euryale 70B v2.1 or GLM 4.5 Air?
GLM 4.5 Air has the larger context window at 131k tokens versus 8k tokens for Llama 3 Euryale 70B v2.1. That means GLM 4.5 Air can ingest about 16.0x as much text per request.
What is the difference between Llama 3 Euryale 70B v2.1 and GLM 4.5 Air?
Llama 3 Euryale 70B v2.1 comes from Sao10K; GLM 4.5 Air comes from Z.ai. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.