Side-by-side comparison
CodeLLaMa 7B Instruct Solidity vs Llama 3 8B Instruct
AlfredPros
CodeLLaMa 7B Instruct Solidity
Input / 1M
$0.8000
Output / 1M
$1.2000
| CodeLLaMa 7B Instruct Solidity | Llama 3 8B Instruct | |
|---|---|---|
| Provider | AlfredPros | Meta |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 4,096 | 8,192 |
| 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 → | 0.8000 | 0.0400 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.2000 | 0.0400 |
Frequently asked questions
Which is cheaper, CodeLLaMa 7B Instruct Solidity or Llama 3 8B Instruct?
Llama 3 8B Instruct is cheaper than CodeLLaMa 7B Instruct Solidity on a 50/50 input/output blend by about $0.96 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, CodeLLaMa 7B Instruct Solidity or Llama 3 8B Instruct?
Llama 3 8B Instruct has the larger context window at 8k tokens versus 4k tokens for CodeLLaMa 7B Instruct Solidity. That means Llama 3 8B Instruct can ingest about 2.0x as much text per request.
What is the difference between CodeLLaMa 7B Instruct Solidity and Llama 3 8B Instruct?
CodeLLaMa 7B Instruct Solidity comes from AlfredPros; Llama 3 8B Instruct comes from Meta. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.