Side-by-side comparison
Llama 3 8B Instruct vs Mistral 7B Instruct v0.1
Mistral
Mistral 7B Instruct v0.1
Input / 1M
$0.1100
Output / 1M
$0.1900
| Llama 3 8B Instruct | Mistral 7B Instruct v0.1 | |
|---|---|---|
| Provider | Meta | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 8,192 | 2,824 |
| 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 → | 0.0400 | 0.1100 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.0400 | 0.1900 |
Frequently asked questions
Which is cheaper, Llama 3 8B Instruct or Mistral 7B Instruct v0.1?
Llama 3 8B Instruct is cheaper than Mistral 7B Instruct v0.1 on a 50/50 input/output blend by about $0.11 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, Llama 3 8B Instruct or Mistral 7B Instruct v0.1?
Llama 3 8B Instruct has the larger context window at 8k tokens versus 3k tokens for Mistral 7B Instruct v0.1. That means Llama 3 8B Instruct can ingest about 2.9x as much text per request.
What is the difference between Llama 3 8B Instruct and Mistral 7B Instruct v0.1?
Llama 3 8B Instruct comes from Meta; Mistral 7B Instruct v0.1 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.