Hunyuan TurboS

By price, Hunyuan TurboS ranks 10th cheapest of 68 on input and 9th on output. Its quality score of 79 ranks 53rd of 68, and on value (quality score ÷ output price) it ranks 11th of 68. Its blended rate sits 94% below the catalog average.

In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $18 per month on Hunyuan TurboS, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $22. Because output is priced 2.5× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.

A 256K context window holds roughly 341 pages of A4 text (at ~750 tokens per page), ranking 36th of 68 here. That covers typical RAG and multi-turn chat, though book-length inputs still need retrieval and chunking. Output runs at about 160 tok/s (15th fastest of 68), fast enough for real-time interaction and high-throughput batches.

We track 2 Tencent models, and Hunyuan TurboS's blended rate sits 21% above that provider's average. If your task tolerates a little less headroom, qwen3.5-flash (Alibaba) blends about 64% cheaper at a quality score of 82, and is worth benchmarking first. Nothing in the catalog scores higher on quality, so this is the ceiling.

The closest model in Tencent's line-up is Hunyuan HY3 ($0.063 input / $0.21 output, quality 87). Against it, Hunyuan TurboS scores 8 points lower on quality, runs 50 tok/s faster (about 45%), costs 35% more blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.