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Tencent
tencent/hunyuan-a13b-instructCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Tencent tencent/hunyuan-a13b-instruct
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...
Hunyuan A13B Instruct earns a request when it needs step-by-step reasoning, running on your own hardware; a short, general request would go to MiniMax M3.1 Flash (free) instead - free per million input tokens against $0.14 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Hunyuan A13B Instruct
targets:
- id: hunyuan-a13b-instruct
kind: llm
name: Hunyuan A13B Instruct
metadata:
model: tencent/hunyuan-a13b-instruct # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: false
context_window: 131072
cost:
usd_per_1k_tokens: 0.000355Input list price per million tokens; Hunyuan A13B Instruct is the 5th cheapest of 7 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.