Hunyuan A13B Instruct
by Tencent · tencent/hunyuan-a13b-instruct · #72 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:36 AM UTC · refreshed hourly
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.14
per 1M tokens
Output
$0.57
per 1M tokens
Blended (3:1)
$0.248
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Hunyuan A13B Instruct (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.248 | $0.0149 | — |
| 50% | $0.248 | $0.0149 | −0% |
| 90% | $0.248 | $0.0149 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000241 | $0.241 |
| Document summary | 8,000 | 1,000 | $0.00169 | $1.69 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00534 | $5.34 |
| Long-context analysis | 150,000 | 5,000 | $0.0239 | $23.85 |
Specs
Context window
131K
tokens
Max output
131K
tokens
Input modalities
text
Tokenizer
Other