L LLM Cloud Hub
Side-by-side comparison

GPT-4o-mini Search Preview vs R1 Distill Qwen 32B

OpenAI

GPT-4o-mini Search Preview

{} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
View GPT-4o-mini Search Preview →
DeepSeek

R1 Distill Qwen 32B

{} JSON
Input / 1M
$0.2900
Output / 1M
$0.2900
View R1 Distill Qwen 32B →
GPT-4o-mini Search PreviewR1 Distill Qwen 32B
Provider OpenAI DeepSeek
Context window Maximum tokens (input + output) the model can process in a single request. Glossary → 128,000 32,768
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). json_mode json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → 0.1500 0.2900
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → 0.6000 0.2900

Frequently asked questions

Which is cheaper, GPT-4o-mini Search Preview or R1 Distill Qwen 32B?

R1 Distill Qwen 32B is cheaper than GPT-4o-mini Search Preview on a 50/50 input/output blend by about $0.085 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, GPT-4o-mini Search Preview or R1 Distill Qwen 32B?

GPT-4o-mini Search Preview has the larger context window at 128k tokens versus 33k tokens for R1 Distill Qwen 32B. That means GPT-4o-mini Search Preview can ingest about 3.9x as much text per request.

What is the difference between GPT-4o-mini Search Preview and R1 Distill Qwen 32B?

GPT-4o-mini Search Preview comes from OpenAI; R1 Distill Qwen 32B comes from DeepSeek. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.

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