hy3
Its best results are in Computer Use (#62 of 176) and Academic Reasoning (#96 of 203); weakest in Reliability (#154 of 177). Four of seven dimensions are estimated, because no results are published yet.
IQ profile
IQ dimensions
Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.
Benchmark results
9 of 39 Composite IQ benchmarks have a published result for hy3. Benchmarks without a result stay listed so gaps are visible.
Abstract Reasoning IQ 78 · estimatedNo published results0/5
Mathematical Reasoning IQ 94 · estimatedNo published results0/5
Academic Reasoning IQ 121 · measuredBest: #69 of 147 on GPQA Diamond4/6
Artificial Analysis model leaderboard · Sep 10
Artificial Analysis model leaderboard · Sep 10
Artificial Analysis model leaderboard · Sep 10
Artificial Analysis model leaderboard · Sep 10
Programmatic Reasoning IQ 92 · estimatedNo published results0/6
Computer Use IQ 117 · measuredBest: #12 of 43 on BrowseComp2/5
Full source leaderboard reconciliation · Oct 23
Arena.ai Agent Arena · Oct 26
Reliability IQ 98 · measuredBest: #65 of 96 on IFBench3/6
Artificial Analysis model leaderboard · Aug 19
Artificial Analysis model leaderboard · Sep 10
Full source leaderboard reconciliation · Oct 23
Knowledge Work IQ 94 · estimatedNo published results0/6
Release & availability
Release details on record for this model.
- Released
- Developer
- Tencent
- Weights
- Open weightsDownloadable and self-hostable
- Context
- 256,000 tokens
- API price
- $0.20 in · $0.80 outper 1M tokens · full pricing
About this score
How much of hy3's IQ is measured, and how the rest is estimated.
Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.
Abstract Reasoning, Mathematical Reasoning, Programmatic Reasoning and Knowledge Work have no published results yet, so their IQ is estimated from hy3's other dimensions.
Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.
Compare hy3
Side-by-side pages for the models it is most often weighed against.
Frequently asked questions
Quick answers about hy3, drawn from the same data as the rest of this page.
How AI IQ scores models →Get this data from the API →- What is the IQ of hy3?
- hy3 has an estimated IQ of 99, which ranks #133 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- What is hy3 best at?
- Among the dimensions with published benchmark results, hy3 ranks highest in Computer Use (IQ 117, #62 of 176) and Academic Reasoning (IQ 121, #96 of 203). Its lowest-ranked measured dimension is Reliability (IQ 98, #154 of 177).
- What is the EQ of hy3?
- hy3 doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for hy3. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
- Which benchmarks has hy3 been tested on?
- hy3 has published results on 9 of the 39 benchmarks behind AI IQ's Composite IQ, including BrowseComp, GPQA Diamond, CritPt, Humanity's Last Exam and SciCode.
- How much does hy3 cost?
- hy3 costs $0.20 per million input tokens and $0.80 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.6543 per million input-plus-output tokens.
- Is hy3 open source?
- Yes — hy3 is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
- Who developed hy3?
- hy3 was developed by Tencent, based in China.
- When was hy3 released?
- hy3 was publicly released on April 24, 2026.
- How large is the context window of hy3?
- hy3 supports a context window of 256,000 tokens — the amount of text it can consider in a single request.
- How fast is hy3?
- In independent measurements, hy3 generates about 195 tokens per second, with a typical response time of about 4.3 seconds.