Side-by-side comparison
Magnum v4 72B vs Mixtral 8x22B Instruct
Mistral
Mixtral 8x22B Instruct
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
| Magnum v4 72B | Mixtral 8x22B Instruct | |
|---|---|---|
| Provider | Anthracite-org | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 16,384 | 65,536 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 3.0000 | 2.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 5.0000 | 6.0000 |
Frequently asked questions
Which is cheaper, Magnum v4 72B or Mixtral 8x22B Instruct?
Magnum v4 72B is cheaper than Mixtral 8x22B Instruct on a 50/50 input/output blend by about $0 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, Magnum v4 72B or Mixtral 8x22B Instruct?
Mixtral 8x22B Instruct has the larger context window at 66k tokens versus 16k tokens for Magnum v4 72B. That means Mixtral 8x22B Instruct can ingest about 4.0x as much text per request.
What is the difference between Magnum v4 72B and Mixtral 8x22B Instruct?
Magnum v4 72B comes from Anthracite-org; Mixtral 8x22B Instruct comes from Mistral. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.