Hy Image 3.5 Preview
Hy Image 3.5 Preview is a unified image generation and editing model from Tencent. It handles text-to-image, image-to-image, and multi-turn editing through one endpoint, taking up to 20 reference images per request and producing output up to 4K. Built on the 80B mixture-of-experts Hy Image 3.0 base, it is particularly strong at subject consistency across edits, prompt-faithful composition, and rendering Chinese and English text inside images.
- Input / output price
- $0/$0per 1M tokens
- Context
- 100K
- Released
- 2026-10-05
Pricing
Related Models
Hy3 preview
tencentHy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to balance speed and depth depending on the task, while delivering strong code generation and reliable performance across multi-step, real-world workflows.
- Context
- 262K
- Max output
- 235.9K
- Released
- 2026-04-22
- Input
- $0.18/M
- Output
- $0.6/M
- Cache read
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Hunyuan A13B Instruct
tencentHunyuan-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 performance across mathematics, science, coding, and multi-turn reasoning tasks, while maintaining high inference efficiency via Grouped Query Attention (GQA) and quantization support (FP8, GPTQ, etc.).
- Context
- 131K
- Max output
- 118.0K
- Released
- 2025-07-08
- Input
- $0.14/M
- Output
- $0.57/M
- Cache read
- N/A
Hy3
tencentHy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort: a direct no-think mode by default, plus low and high chain-of-thought modes for complex math, coding, and multi-step problems. With a 256K context window, Hy3 targets long-horizon tasks, including improved coreference resolution, multi-turn constraint tracking, and stable tool-calling that generalizes across agent scaffoldings. Tencent positions it as a reliable, cost-effective option across coding, document processing, financial analysis, game development, and frontend design, with a strong emphasis on grounded, anti-hallucination behavior that answers when grounded and flags when evidence is missing rather than fabricating.
- Context
- 262K
- Max output
- 128K
- Released
- 2026-07-06
- Input
- $0.132/M
- Output
- $0.528/M
- Cache read
- $0.033/M