Hy3 is Tencent's 295B-parameter Mixture-of-Experts model with 21B active parameters, native 256K context, and configurable reasoning modes. It is built for coding, long-context comprehension, multi-turn dialogue, and agentic task execution with a focus on high-throughput production workloads.
Added Jul 6, 2026
Model weightsContext Window
262.1K
Max Output
262.1K
Avg output tokens (7d)
1.3K tokens
Input Price (Auto)
$0.066/1M
Output Price (Auto)
$0.26/1M
Cache Read (Auto)
$0.029/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
25.3
Coding Index
58.8
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
18.4%
Better than 40% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
944 Elo
Better than 46% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1045 Elo
Better than 51% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
11.2%
Better than 45% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
79.0%
Better than 83% of models compared
Reasoning
HLE
Humanity's Last Exam
33.5%
Better than 81% of models compared
IFBench
Instruction-following benchmark
63.1%
Better than 74% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.5%
Better than 35% of models compared
SciCode
Python programming for scientific computing
48.6%
Better than 49% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
89.7%
Better than 88% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
34.1%
Better than 79% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
92.7%
Better than 88% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
79.0%
Better than 83% of models compared
Last updated Oct 1, 2026
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