Side-by-side comparison
R1 Distill Qwen 32B vs Hunyuan A13B Instruct
DeepSeek
R1 Distill Qwen 32B
{} JSON
Input / 1M
$0.2900
Output / 1M
$0.2900
Tencent
Hunyuan A13B Instruct
{} JSON
Input / 1M
$0.1400
Output / 1M
$0.5700
| R1 Distill Qwen 32B | Hunyuan A13B Instruct | |
|---|---|---|
| Provider | DeepSeek | Tencent |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 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 → | 0.2900 | 0.1400 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2900 | 0.5700 |
Frequently asked questions
Which is cheaper, R1 Distill Qwen 32B or Hunyuan A13B Instruct?
R1 Distill Qwen 32B is cheaper than Hunyuan A13B Instruct on a 50/50 input/output blend by about $0.065 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, R1 Distill Qwen 32B or Hunyuan A13B Instruct?
Hunyuan A13B Instruct has the larger context window at 131k tokens versus 33k tokens for R1 Distill Qwen 32B. That means Hunyuan A13B Instruct can ingest about 4.0x as much text per request.
What is the difference between R1 Distill Qwen 32B and Hunyuan A13B Instruct?
R1 Distill Qwen 32B 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.