Side-by-side comparison
Kimi K2 0905 vs GPT-3.5 Turbo (older v0613)
OpenAI
GPT-3.5 Turbo (older v0613)
🔧 Tools
{} JSON
Input / 1M
$1.0000
Output / 1M
$2.0000
| Kimi K2 0905 | GPT-3.5 Turbo (older v0613) | |
|---|---|---|
| Provider | MoonshotAI | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 4,095 |
| 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 → | 0.6000 | 1.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 2.0000 |
Frequently asked questions
Which is cheaper, Kimi K2 0905 or GPT-3.5 Turbo (older v0613)?
GPT-3.5 Turbo (older v0613) is cheaper than Kimi K2 0905 on a 50/50 input/output blend by about $0.05 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, Kimi K2 0905 or GPT-3.5 Turbo (older v0613)?
Kimi K2 0905 has the larger context window at 262k tokens versus 4k tokens for GPT-3.5 Turbo (older v0613). That means Kimi K2 0905 can ingest about 64.0x as much text per request.
What is the difference between Kimi K2 0905 and GPT-3.5 Turbo (older v0613)?
Kimi K2 0905 comes from MoonshotAI; GPT-3.5 Turbo (older v0613) comes from OpenAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.