Side-by-side comparison
Hunyuan A13B Instruct vs Phi 4 Mini Instruct
Tencent
Hunyuan A13B Instruct
{} JSON
Input / 1M
$0.1400
Output / 1M
$0.5700
Microsoft
Phi 4 Mini Instruct
{} JSON
Input / 1M
$0.0800
Output / 1M
$0.3500
| Hunyuan A13B Instruct | Phi 4 Mini Instruct | |
|---|---|---|
| Provider | Tencent | Microsoft |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 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 → | 0.1400 | 0.0800 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.5700 | 0.3500 |
Frequently asked questions
Which is cheaper, Hunyuan A13B Instruct or Phi 4 Mini Instruct?
Phi 4 Mini Instruct is cheaper than Hunyuan A13B Instruct on a 50/50 input/output blend by about $0.14 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, Hunyuan A13B Instruct or Phi 4 Mini Instruct?
Hunyuan A13B Instruct has the larger context window at 131k tokens versus 128k tokens for Phi 4 Mini Instruct. That means Hunyuan A13B Instruct can ingest about 1.0x as much text per request.
What is the difference between Hunyuan A13B Instruct and Phi 4 Mini Instruct?
Hunyuan A13B Instruct comes from Tencent; 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.