Side-by-side comparison
Llama 3.1 70B Instruct vs Solar Pro 3
Meta
Llama 3.1 70B Instruct
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$0.4000
| Llama 3.1 70B Instruct | Solar Pro 3 | |
|---|---|---|
| Provider | Meta | Upstage |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 128,000 |
| 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 → | 0.4000 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4000 | 0.6000 |
Frequently asked questions
Which is cheaper, Llama 3.1 70B Instruct or Solar Pro 3?
Solar Pro 3 is cheaper than Llama 3.1 70B Instruct on a 50/50 input/output blend by about $0.025 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 3.1 70B Instruct or Solar Pro 3?
Llama 3.1 70B Instruct has the larger context window at 131k tokens versus 128k tokens for Solar Pro 3. That means Llama 3.1 70B Instruct can ingest about 1.0x as much text per request.
What is the difference between Llama 3.1 70B Instruct and Solar Pro 3?
Llama 3.1 70B Instruct comes from Meta; Solar Pro 3 comes from Upstage. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.