Model Cost Profile

Tencent: Hunyuan A13B Instruct

Developer: tencent

Pricing updated Mar 11, 2026

Input rank: #110Output rank: #130

Live Pricing

Input: $0.1400

Output: $0.5700

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Tencent's Hunyuan A13B Instruct model features an extensive context window of 131,072 tokens, making it suitable for complex tasks such as document summarization and multi-turn conversational AI. With an input price of $0.14 per million tokens and an output price of $0.57 per million tokens, teams can effectively manage costs while leveraging the model for large-scale applications. This pricing structure allows organizations to optimize their budget for projects that require substantial data processing and interaction.

๐Ÿ“‹ Structured Output๐Ÿง  Reasoning

Context Window

131,072

Tokens

Input Price / 1M

$0.1400

Prompt tokens

Output Price / 1M

$0.5700

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Tencent: Hunyuan A13B Instruct Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.1400$0.3550$0.5700Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.1400

Current Output / 1M

$0.5700

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Tencent: Hunyuan A13B Instruct.

How much does Tencent: Hunyuan A13B Instruct cost per 1M input tokens?

Tencent: Hunyuan A13B Instruct input pricing is $0.1400 per 1M tokens based on the latest synced provider data.

How much does Tencent: Hunyuan A13B Instruct cost per 1M output tokens?

Tencent: Hunyuan A13B Instruct output pricing is $0.5700 per 1M tokens based on the latest synced provider data.

What context window does Tencent: Hunyuan A13B Instruct support?

Tencent: Hunyuan A13B Instruct supports a context window of 131,072 tokens.

How can I compare Tencent: Hunyuan A13B Instruct with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.