AI Model Timeline

Tracking the accelerating release frequency of frontier AI models.

Hy4-preview

Tencent·

LLMsopen-weightFrontier

Overview

Preview of Tencent's next-generation Hunyuan flagship: a 770B-parameter MoE activating 49B per token, with a 1M-token context window. Open-weight under Apache 2.0 with an FP8 checkpoint alongside BF16, tuned for coding agents, complex tool-use workflows and productivity tasks, and trained on domain data from Tencent's software, gaming and finance teams.

Capabilities and innovations

770B total / 49B active MoE1M token context windowCoding-agent and tool-use focusApache 2.0 licenseTencent-internal software, gaming and finance domain dataFP8 checkpoint shipped alongside BF16

Benchmarks

BenchmarkScoreSource
GPQA Diamond92.3%vendor
GPQA Diamond 92.3, vendor model card.
SWE-bench Pro65.7%vendor
SWE-bench Pro 65.7, vendor model card.
  • Humanity’s Last Exam (no tools): independent evaluation pending — Fresh release (2026-08-28); no independent no-tools measurement published yet.
  • MMLU-Pro: independent evaluation pending — Fresh release; vals.ai / Artificial Analysis runs pending.
  • Terminal-Bench 2.x: independent evaluation pending — Fresh release; no Terminal-Bench 2.x measurement published yet.
  • MMMU-Pro: not reported by the vendor — Text-only preview.

Architecture and hardware

Parameters
770B total, 49B active per token (MoE)
Estimated VRAM at Q4
~443 GB, Frontier class
Quantization formats
FP8
Recommended runtime
vLLM
License
Apache 2.0

Links

More from Tencent

Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.