Side-by-side comparison
DeepSeek V3.2 Speciale vs Hermes 3 70B Instruct
DeepSeek
DeepSeek V3.2 Speciale
{} JSON
Input / 1M
$0.2870
Output / 1M
$0.4310
Nous
Hermes 3 70B Instruct
{} JSON
Input / 1M
$0.3000
Output / 1M
$0.3000
| DeepSeek V3.2 Speciale | Hermes 3 70B Instruct | |
|---|---|---|
| Provider | DeepSeek | Nous |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 163,840 | 131,072 |
| 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 → | 0.2870 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4310 | 0.3000 |
Frequently asked questions
Which is cheaper, DeepSeek V3.2 Speciale or Hermes 3 70B Instruct?
Hermes 3 70B Instruct is cheaper than DeepSeek V3.2 Speciale on a 50/50 input/output blend by about $0.059 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, DeepSeek V3.2 Speciale or Hermes 3 70B Instruct?
DeepSeek V3.2 Speciale has the larger context window at 164k tokens versus 131k tokens for Hermes 3 70B Instruct. That means DeepSeek V3.2 Speciale can ingest about 1.3x as much text per request.
What is the difference between DeepSeek V3.2 Speciale and Hermes 3 70B Instruct?
DeepSeek V3.2 Speciale comes from DeepSeek; Hermes 3 70B Instruct comes from Nous. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.