Side-by-side comparison
DeepSeek V3.2 Speciale vs Hunyuan A13B Instruct
DeepSeek
DeepSeek V3.2 Speciale
{} JSON
Input / 1M
$0.2870
Output / 1M
$0.4310
Tencent
Hunyuan A13B Instruct
{} JSON
Input / 1M
$0.1400
Output / 1M
$0.5700
| DeepSeek V3.2 Speciale | Hunyuan A13B Instruct | |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 163,840 | 131,072 |
| 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 → | 0.2870 | 0.1400 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4310 | 0.5700 |
Frequently asked questions
Which is cheaper, DeepSeek V3.2 Speciale or Hunyuan A13B Instruct?
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, DeepSeek V3.2 Speciale or Hunyuan A13B Instruct?
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 DeepSeek V3.2 Speciale and Hunyuan A13B Instruct?
DeepSeek V3.2 Speciale comes from DeepSeek; Hunyuan A13B Instruct comes from Tencent. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.