L LLM Cloud Hub
Side-by-side comparison

Kimi K2.6 vs OpenAI GPT Mini Latest

MoonshotAI

Kimi K2.6

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$0.7300
Output / 1M
$3.4900
View Kimi K2.6 β†’
OpenAI

OpenAI GPT Mini Latest

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$0.7500
Output / 1M
$4.5000
View OpenAI GPT Mini Latest β†’
Kimi K2.6OpenAI GPT Mini Latest
Provider MoonshotAI OpenAI
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 262,142 400,000
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). vision, tools, json_mode vision, tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 0.7300 0.7500
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 3.4900 4.5000

Frequently asked questions

Which is cheaper, Kimi K2.6 or OpenAI GPT Mini Latest?

Kimi K2.6 is cheaper than OpenAI GPT Mini Latest on a 50/50 input/output blend by about $0.515 per 1M tokens. Exact savings depend on your input-vs-output ratio β€” use the cost calculator on this page for a workload-specific estimate.

Which has a larger context window, Kimi K2.6 or OpenAI GPT Mini Latest?

OpenAI GPT Mini Latest has the larger context window at 400k tokens versus 262k tokens for Kimi K2.6. That means OpenAI GPT Mini Latest can ingest about 1.5x as much text per request.

What is the difference between Kimi K2.6 and OpenAI GPT Mini Latest?

Kimi K2.6 comes from MoonshotAI; OpenAI GPT Mini Latest comes from OpenAI. They differ in pricing, context window, and supported capabilities β€” see the side-by-side table on this page for the exact figures, refreshed nightly.

Keyboard shortcuts

?
Show this overlay
/
Focus the first form field
g h
Go to / (home)
g b
Go to /best-llm-for
g c
Go to /cost
g s
Go to /self-hosted
g x
Go to /compliance
Esc
Close any overlay

Inspired by Linear and GitHub conventions. The two-key sequences (g then h) work within ~1 second.