Side-by-side comparison
GPT-4 (older v0314) vs Saba
OpenAI
GPT-4 (older v0314)
🔧 Tools
{} JSON
Input / 1M
$30.0000
Output / 1M
$60.0000
| GPT-4 (older v0314) | Saba | |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 8,191 | 32,768 |
| 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 → | 30.0000 | 0.2000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 60.0000 | 0.6000 |
Frequently asked questions
Which is cheaper, GPT-4 (older v0314) or Saba?
Saba is cheaper than GPT-4 (older v0314) on a 50/50 input/output blend by about $44.6 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, GPT-4 (older v0314) or Saba?
Saba has the larger context window at 33k tokens versus 8k tokens for GPT-4 (older v0314). That means Saba can ingest about 4.0x as much text per request.
What is the difference between GPT-4 (older v0314) and Saba?
GPT-4 (older v0314) comes from OpenAI; Saba 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.