Side-by-side comparison
Phi 4 Mini Instruct vs DeepSeek V3.2 Speciale
Microsoft
Phi 4 Mini Instruct
{} JSON
Input / 1M
$0.0800
Output / 1M
$0.3500
DeepSeek
DeepSeek V3.2 Speciale
{} JSON
Input / 1M
$0.2870
Output / 1M
$0.4310
| Phi 4 Mini Instruct | DeepSeek V3.2 Speciale | |
|---|---|---|
| Provider | Microsoft | DeepSeek |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 163,840 |
| 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 → | 0.0800 | 0.2870 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.3500 | 0.4310 |
Frequently asked questions
Which is cheaper, Phi 4 Mini Instruct or DeepSeek V3.2 Speciale?
Phi 4 Mini Instruct is cheaper than DeepSeek V3.2 Speciale on a 50/50 input/output blend by about $0.144 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, Phi 4 Mini Instruct or DeepSeek V3.2 Speciale?
DeepSeek V3.2 Speciale has the larger context window at 164k tokens versus 128k tokens for Phi 4 Mini Instruct. That means DeepSeek V3.2 Speciale can ingest about 1.3x as much text per request.
What is the difference between Phi 4 Mini Instruct and DeepSeek V3.2 Speciale?
Phi 4 Mini Instruct comes from Microsoft; DeepSeek V3.2 Speciale 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.