L LLM Cloud Hub
Side-by-side comparison

Seed-2.0-Mini vs GPT-4o-mini (2024-07-18)

ByteDance Seed

Seed-2.0-Mini

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$0.1000
Output / 1M
$0.4000
View Seed-2.0-Mini β†’
OpenAI

GPT-4o-mini (2024-07-18)

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
View GPT-4o-mini (2024-07-18) β†’
Seed-2.0-MiniGPT-4o-mini (2024-07-18)
Provider ByteDance Seed OpenAI
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 262,144 128,000
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†’ 0.1000 0.1500
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 0.4000 0.6000

Frequently asked questions

Which is cheaper, Seed-2.0-Mini or GPT-4o-mini (2024-07-18)?

Seed-2.0-Mini is cheaper than GPT-4o-mini (2024-07-18) on a 50/50 input/output blend by about $0.125 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, Seed-2.0-Mini or GPT-4o-mini (2024-07-18)?

Seed-2.0-Mini has the larger context window at 262k tokens versus 128k tokens for GPT-4o-mini (2024-07-18). That means Seed-2.0-Mini can ingest about 2.0x as much text per request.

What is the difference between Seed-2.0-Mini and GPT-4o-mini (2024-07-18)?

Seed-2.0-Mini comes from ByteDance Seed; GPT-4o-mini (2024-07-18) 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.