Hy3
BenchLM is tracking Hy3, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.
Hy3 is a open weight model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Hy3 sits inside the Hy3 family alongside Hy3 Preview. BenchLM links it directly to Hy3 Preview as the earlier related model in that lineage. This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Benchmark data coming soon
BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.
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Frequently Asked Questions
How does Hy3 perform overall in AI benchmarks?
BenchLM is tracking Hy3, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.
Is Hy3 open source?
Yes, Hy3 is an open weight model created by Tencent, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Hy3?
Hy3 belongs to the Hy3 family. Related variants on BenchLM include Hy3 Preview.
Does Hy3 have full benchmark coverage on BenchLM?
Not yet. Hy3 currently has 0 published benchmark scores out of the 252 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Hy3?
Hy3 has a context window of 256K, which determines how much text it can process in a single interaction.
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