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Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
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Submit a sourceThe official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity...
Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
The model record exists, but no source-linked provider offer is available yet.
Submit a sourceRecorded from the source catalog and provider listings.
tencent/hy4Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
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The official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity. It is published by Tencent and catalogued here from OpenRouter.
Tencent: Hy4 accepts up to 1.04858M tokens of context and returns up to 65.536K output tokens.
Provider catalogs list support for image input.
Hy3 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:...
Hy3Tencent Hy reasoning model for coding, instruction following, and agent tasks
Hy3 previewTencent Hy reasoning model for coding, instruction following, and agent tasks
Tencent: Hunyuan A13B InstructHunyuan-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...