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