Side-by-side comparison
Llama 3 Euryale 70B v2.1 vs GPT-3.5 Turbo (older v0613)
Sao10K
Llama 3 Euryale 70B v2.1
🔧 Tools
Input / 1M
$1.4800
Output / 1M
$1.4800
OpenAI
GPT-3.5 Turbo (older v0613)
🔧 Tools
{} JSON
Input / 1M
$1.0000
Output / 1M
$2.0000
| Llama 3 Euryale 70B v2.1 | GPT-3.5 Turbo (older v0613) | |
|---|---|---|
| Provider | Sao10K | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 8,192 | 4,095 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 1.4800 | 1.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.4800 | 2.0000 |
Frequently asked questions
Which is cheaper, Llama 3 Euryale 70B v2.1 or GPT-3.5 Turbo (older v0613)?
Llama 3 Euryale 70B v2.1 is cheaper than GPT-3.5 Turbo (older v0613) on a 50/50 input/output blend by about $0.02 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 GPT-3.5 Turbo (older v0613)?
Llama 3 Euryale 70B v2.1 has the larger context window at 8k tokens versus 4k tokens for GPT-3.5 Turbo (older v0613). That means Llama 3 Euryale 70B v2.1 can ingest about 2.0x as much text per request.
What is the difference between Llama 3 Euryale 70B v2.1 and GPT-3.5 Turbo (older v0613)?
Llama 3 Euryale 70B v2.1 comes from Sao10K; GPT-3.5 Turbo (older v0613) comes from OpenAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.