Side-by-side comparison
Mistral 7B Instruct v0.1 vs Gemma 3n 4B
Mistral
Mistral 7B Instruct v0.1
Input / 1M
$0.1100
Output / 1M
$0.1900
| Mistral 7B Instruct v0.1 | Gemma 3n 4B | |
|---|---|---|
| Provider | Mistral | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 2,824 | 32,768 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | text-only | text-only |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.1100 | 0.0600 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.1900 | 0.1200 |
Frequently asked questions
Which is cheaper, Mistral 7B Instruct v0.1 or Gemma 3n 4B?
Gemma 3n 4B is cheaper than Mistral 7B Instruct v0.1 on a 50/50 input/output blend by about $0.06 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, Mistral 7B Instruct v0.1 or Gemma 3n 4B?
Gemma 3n 4B has the larger context window at 33k tokens versus 3k tokens for Mistral 7B Instruct v0.1. That means Gemma 3n 4B can ingest about 11.6x as much text per request.
What is the difference between Mistral 7B Instruct v0.1 and Gemma 3n 4B?
Mistral 7B Instruct v0.1 comes from Mistral; Gemma 3n 4B comes from Google. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.