Side-by-side comparison
Mixtral 8x22B Instruct vs o3 Mini
Mistral
Mixtral 8x22B Instruct
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
| Mixtral 8x22B Instruct | o3 Mini | |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 65,536 | 200,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 2.0000 | 1.1000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 6.0000 | 4.4000 |
Frequently asked questions
Which is cheaper, Mixtral 8x22B Instruct or o3 Mini?
o3 Mini is cheaper than Mixtral 8x22B Instruct on a 50/50 input/output blend by about $1.25 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, Mixtral 8x22B Instruct or o3 Mini?
o3 Mini has the larger context window at 200k tokens versus 66k tokens for Mixtral 8x22B Instruct. That means o3 Mini can ingest about 3.1x as much text per request.
What is the difference between Mixtral 8x22B Instruct and o3 Mini?
Mixtral 8x22B Instruct comes from Mistral; o3 Mini 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.