Side-by-side comparison
CodeLLaMa 7B Instruct Solidity vs Coder Large
AlfredPros
CodeLLaMa 7B Instruct Solidity
Input / 1M
$0.8000
Output / 1M
$1.2000
| CodeLLaMa 7B Instruct Solidity | Coder Large | |
|---|---|---|
| Provider | AlfredPros | Arcee AI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 4,096 | 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 → | 0.8000 | 0.5000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.2000 | 0.8000 |
Frequently asked questions
Which is cheaper, CodeLLaMa 7B Instruct Solidity or Coder Large?
Coder Large is cheaper than CodeLLaMa 7B Instruct Solidity on a 50/50 input/output blend by about $0.35 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 Coder Large?
Coder Large has the larger context window at 33k tokens versus 4k tokens for CodeLLaMa 7B Instruct Solidity. That means Coder Large can ingest about 8.0x as much text per request.
What is the difference between CodeLLaMa 7B Instruct Solidity and Coder Large?
CodeLLaMa 7B Instruct Solidity comes from AlfredPros; Coder Large comes from Arcee AI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.