Sygkrinete to OpenAI: GPT-3.5 Turbo Instruct (OpenAI) kai to O4 Mini Deep Research (OpenAI) me vasi tin timi, to context, tis dynatotites kai to latency.
Dipla dipla
Sygkrinete timi, pauxo, plaisio context, dynatotites, kathysterisi kai vasi pigis.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| OpenAI: GPT-3.5 Turbo Instructopenai/gpt-3.5-turbo-instruct | OpenAI | $0.282 / 1M tokens | $0.376 / 1M tokens | 4.1k | StreamingJSON mode | General chat via OpenAI, API workloads | 1000-3000ms | Catalog | Platform curated |
| O4 Mini Deep Researchopenai/o4-mini-deep-research | OpenAI | $0.376 / 1M tokens | $1.50 / 1M tokens | — | Streaming | General chat via OpenAI, API workloads | 1000-3000ms | Catalog | Platform curated |
FAQ
To OpenAI: GPT-3.5 Turbo Instruct einai pio fthino ($0.282 / 1M tokens input / $0.376 / 1M tokens output) apo to O4 Mini Deep Research ($0.376 / 1M tokens input / $1.50 / 1M tokens output). To pragmatiko kostos exartatai apo to meigma input kai output tokens, opote xrisimopoise ton ypologisti timon pano se pragmatiki kinisi.
To OpenAI: GPT-3.5 Turbo Instruct exei megalitero context window (4.1k tokens) se sxesi me — tokens.
Kai ta dyo tairiazoun gia High quality. Dialexe to OpenAI: GPT-3.5 Turbo Instruct an protereotita einai to kostos, i to OpenAI: GPT-3.5 Turbo Instruct an xreiazesai megalitero context window. Dokimase kai ta dyo me pragmatika prompts prin steileis production kinisi.