Side-by-side comparison
Hermes 3 405B Instruct vs GPT-3.5 Turbo Instruct
Nous
Hermes 3 405B Instruct
{} JSON
Input / 1M
$1.0000
Output / 1M
$1.0000
OpenAI
GPT-3.5 Turbo Instruct
{} JSON
Input / 1M
$1.5000
Output / 1M
$2.0000
| Hermes 3 405B Instruct | GPT-3.5 Turbo Instruct | |
|---|---|---|
| Provider | Nous | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 4,095 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | json_mode | json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 1.0000 | 1.5000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.0000 | 2.0000 |
Frequently asked questions
Which is cheaper, Hermes 3 405B Instruct or GPT-3.5 Turbo Instruct?
Hermes 3 405B Instruct is cheaper than GPT-3.5 Turbo Instruct on a 50/50 input/output blend by about $0.75 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, Hermes 3 405B Instruct or GPT-3.5 Turbo Instruct?
Hermes 3 405B Instruct has the larger context window at 131k tokens versus 4k tokens for GPT-3.5 Turbo Instruct. That means Hermes 3 405B Instruct can ingest about 32.0x as much text per request.
What is the difference between Hermes 3 405B Instruct and GPT-3.5 Turbo Instruct?
Hermes 3 405B Instruct comes from Nous; GPT-3.5 Turbo Instruct 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.