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Tencent · language model

Hunyuan A13B Instruct: pricing, context and benchmarks

Hunyuan A13B Instruct is Tencent's model released on July 8, 2025. It costs $0.14 per million input tokens and $0.57 per million output tokens, with a 131.1K-token context window. No independent score has been published for it so far.

Score
62/100
Price 23/30
Context 4/15
Features 10/15
Low costOpen weightsReasoningNo tool calling

What you need to know about Hunyuan A13B Instruct

Tencent, based in China, put Hunyuan A13B Instruct online on July 8, 2025. It accepts text as input and produces text. Its context window reaches 131,072 tokens, larger than 29 % of the models in the registry, and it can write up to 117,964 tokens in one go.

It has been available for about 16 months, long enough for its prices and scores to have settled.

Hunyuan A13B Instruct pricing

On OpenRouter, Hunyuan A13B Instruct costs $0.14 per million input tokens and $0.57 per million output tokens. Counting three tokens read for every token written, its average price is $0.248 per million, more expensive than 24 % of paid models (3.1 times cheaper than the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0006. At 1,000 tasks a day, budget $17 a month. The price calculator redoes this with your own volumes.

Performance and benchmarks

Epoch AI does not yet publish a capabilities index for Hunyuan A13B Instruct. We therefore show no made-up performance rating: only price, context and features count towards its score.

Features, privacy and local use

  • It does not support tool calling: it is not suited to driving an AI agent that has to act.
  • It can answer in an enforced JSON format (structured outputs).
  • It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
  • Its knowledge stops at March 2025.

Its weights are open and downloadable from Hugging Face (other licence): you can run it on your own machines without sending your data to a third party. With 80,393,183,232 billion parameters, it needs about 44,923,191,833 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 68,951 times on Hugging Face last month.

Other Tencent models

Average price per million tokens (3 input for 1 output).
ModelReleasedAvg. priceECI
Hy4 previewAug 28, 2026$1.13—
Hy-MT2-1.8BAug 20, 2026$0.08—
Hy-MT2-30B-A3BAug 20, 2026$0.13—
Hy-MT2-7BAug 19, 2026$0.13—
Hy3Jul 6, 2026$0.15—
Hy3 previewApr 22, 2026$0.29—

Verdict

Computed score: 62/100, from public data (performance, price, context, features).

Strengths

  • Low price: cheaper than 76 % of paid models.
  • Open weights: self-hostable, your data stays with you.

Limitations

  • No tool calling: unusable as an agent's brain.
  • No independent score published: performance cannot be verified.
  • Text only: reads neither images nor files.

Avoid if…

  • you are building an agent that must call tools;
  • you want to host it on a single consumer computer (≈ 44,923,191,833 GB needed at 4-bit).

Frequently asked questions

How much does Hunyuan A13B Instruct cost?

$0.14 per million input tokens and $0.57 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0006.

How big is Hunyuan A13B Instruct's context window?

131,072 tokens, roughly 98,000 words, with a maximum of 117,964 output tokens.

Can Hunyuan A13B Instruct run locally?

Yes, its weights are published under the other licence. Expect about 44,923,191,833 GB of memory at 4-bit.

Is Hunyuan A13B Instruct suitable for an AI agent?

No: without tool calling it cannot act, only answer.

What are the alternatives to Hunyuan A13B Instruct?

The closest models on price and performance are gpt-oss-120b, Solar Pro 3, and Nemotron 3.5 Content Safety.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score