L LLM Cloud Hub
Side-by-side comparison

ERNIE 4.5 VL 28B A3B vs GPT-4o-mini

Baidu Qianfan

ERNIE 4.5 VL 28B A3B

πŸ‘ Vision πŸ”§ Tools
Input / 1M
$0.1400
Output / 1M
$0.5600
View ERNIE 4.5 VL 28B A3B β†’
OpenAI

GPT-4o-mini

πŸ‘ Vision πŸ”§ Tools {} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
View GPT-4o-mini β†’
ERNIE 4.5 VL 28B A3BGPT-4o-mini
Provider Baidu Qianfan OpenAI
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 30,000 128,000
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). vision, tools vision, tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 0.1400 0.1500
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 0.5600 0.6000

Frequently asked questions

Which is cheaper, ERNIE 4.5 VL 28B A3B or GPT-4o-mini?

ERNIE 4.5 VL 28B A3B is cheaper than GPT-4o-mini on a 50/50 input/output blend by about $0.025 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, ERNIE 4.5 VL 28B A3B or GPT-4o-mini?

GPT-4o-mini has the larger context window at 128k tokens versus 30k tokens for ERNIE 4.5 VL 28B A3B. That means GPT-4o-mini can ingest about 4.3x as much text per request.

What is the difference between ERNIE 4.5 VL 28B A3B and GPT-4o-mini?

ERNIE 4.5 VL 28B A3B comes from Baidu Qianfan; GPT-4o-mini 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.

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