Side-by-side comparison
Olmo 3 32B Think vs Phi 4 Mini Instruct
Microsoft
Phi 4 Mini Instruct
{} JSON
Input / 1M
$0.0800
Output / 1M
$0.3500
| Olmo 3 32B Think | Phi 4 Mini Instruct | |
|---|---|---|
| Provider | AllenAI | Microsoft |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 65,536 | 128,000 |
| 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 | 0.0800 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.5000 | 0.3500 |
Frequently asked questions
Which is cheaper, Olmo 3 32B Think or Phi 4 Mini Instruct?
Phi 4 Mini Instruct is cheaper than Olmo 3 32B Think on a 50/50 input/output blend by about $0.11 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, Olmo 3 32B Think or Phi 4 Mini Instruct?
Phi 4 Mini Instruct has the larger context window at 128k tokens versus 66k tokens for Olmo 3 32B Think. That means Phi 4 Mini Instruct can ingest about 2.0x as much text per request.
What is the difference between Olmo 3 32B Think and Phi 4 Mini Instruct?
Olmo 3 32B Think comes from AllenAI; Phi 4 Mini Instruct comes from Microsoft. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.