Side-by-side comparison
Hunyuan A13B Instruct vs DeepSeek V3.2 Speciale
Tencent
Hunyuan A13B Instruct
{} JSON
Input / 1M
$0.1400
Output / 1M
$0.5700
DeepSeek
DeepSeek V3.2 Speciale
{} JSON
Input / 1M
$0.2870
Output / 1M
$0.4310
| Hunyuan A13B Instruct | DeepSeek V3.2 Speciale | |
|---|---|---|
| Provider | Tencent | DeepSeek |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 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 → | 0.1400 | 0.2870 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.5700 | 0.4310 |
Frequently asked questions
Which is cheaper, Hunyuan A13B Instruct or DeepSeek V3.2 Speciale?
Hunyuan A13B Instruct is cheaper than DeepSeek V3.2 Speciale on a 50/50 input/output blend by about $0.004 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 DeepSeek V3.2 Speciale?
DeepSeek V3.2 Speciale has the larger context window at 164k tokens versus 131k tokens for Hunyuan A13B Instruct. That means DeepSeek V3.2 Speciale can ingest about 1.3x as much text per request.
What is the difference between Hunyuan A13B Instruct and DeepSeek V3.2 Speciale?
Hunyuan A13B Instruct comes from Tencent; 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.