Perplexity vs Tencent: Token Pricing, Speed & Intelligence
Full comparison of Perplexity and Tencent — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Perplexity
Sonar — search-augmented LLMs with real-time web grounding
Perplexity's Sonar models are designed for search-augmented generation, combining LLM reasoning with real-time web retrieval. Unlike standard LLMs, Sonar responses include citations and are grounded in current web content. Ideal for research assistants, news summarisation, and fact-checking applications.
Tencent
Hunyuan LLMs from China's largest tech company
Tencent offers the Hunyuan series of large language models via its cloud platform. Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks.
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Live token pricing
Strengths & weaknesses
Perplexity
Tencent
Key differentiators
Every Sonar response includes real-time web citations — the only LLM API purpose-built for grounded, verifiable answers.
Hunyuan 3 (hy3) offers a 262K context window at $0.14/1M input tokens — among the cheapest frontier-class models available.
Frequently asked questions
Perplexity FAQs
What is Perplexity Sonar?
Sonar is Perplexity's family of search-augmented LLMs. Unlike standard LLMs, Sonar automatically searches the web and includes citations in every response. Sonar is available in standard and Pro (deep research) variants.
How much does Perplexity API cost?
Perplexity charges per 1M tokens plus a per-request fee for search operations. Check their pricing page for current rates as they vary by model and search depth.
When should I use Perplexity instead of GPT-4o?
Use Perplexity when your application needs real-time, verifiable information with citations — research tools, news summarisation, fact-checking, or any use case where accuracy on current events matters. For creative tasks, coding, or reasoning without web grounding, GPT-4o or Claude are better choices.
Tencent FAQs
What is Tencent Hunyuan?
Hunyuan is Tencent's family of large language models, available via the Tencent Cloud API. The latest generation (hy3) supports 262K context and competitive pricing.
Is Tencent Hunyuan available internationally?
Yes. The Hunyuan API is accessible globally via Tencent Cloud, though latency may be higher outside Asia-Pacific regions.
Provider resources
Perplexity — Sonar — search-augmented LLMs with real-time web grounding
Perplexity's Sonar models are designed for search-augmented generation, combining LLM reasoning with real-time web retrieval. Unlike standard LLMs, Sonar responses include citations and are grounded in current web content. Ideal for research assistants, news summarisation, and fact-checking applications.
Every Sonar response includes real-time web citations — the only LLM API purpose-built for grounded, verifiable answers.
Tencent — Hunyuan LLMs from China's largest tech company
Tencent offers the Hunyuan series of large language models via its cloud platform. Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks.
Hunyuan 3 (hy3) offers a 262K context window at $0.14/1M input tokens — among the cheapest frontier-class models available.
Key strengths compared
Perplexity
- ▸Real-time web search with automatic citations
- ▸Sonar Pro for deep research with multi-step retrieval
- ▸Grounded responses reduce hallucination on factual queries
Tencent
- ▸Competitive pricing
- ▸Strong Chinese-language performance
- ▸Large context window
Provider category context
Perplexity is a inference api, founded in 2022. Tencent is a frontier lab, founded in 2023. Perplexity as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Tencent as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose Perplexity if you need real-time web search with automatic citations. Choose Tencent if you need competitive pricing. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.