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Model details

Hy3 (free)

Hy3 is Tencent's flagship open-source model designed for enterprise agentic workflows, built on a Mixture-of-Experts architecture where only 21 billion of its 295 billion total parameters activate per query. This selective activation keeps inference efficient while preserving access to specialised capabilities across diverse tasks. The model natively handles a 256,000-token context window, comfortably accommodating long documents, extended call transcripts, and multi-turn agentic reasoning chains without truncation. Tencent refined Hy3 over several months using feedback from 50 internal product teams and real-world deployment data from Yuanbao, WorkBuddy, ima, and Marvis, focusing improvements on coding agent performance, long-form understanding, multi-turn context continuity, search QA, and complex task execution.

Hy3 offers three thinking modes that let users trade response speed against reasoning depth: a no-think ultra-fast mode, a think-low quick reasoning mode, and a think-high deep reasoning mode. This flexibility makes the model well-suited to practical enterprise scenarios including frontend development, cross-file code work, long-document analysis, office automation, and multi-step agent pipelines. Tencent reports that hallucinations dropped from 12.5% to 5.4% and commonsense reasoning errors fell from 25.4% to lower levels between the preview and full release, reflecting the impact of that production-driven refinement loop. Released under an Apache 2.0 license, Hy3 is positioned as a commercially friendly option for organisations weighing open-source flexibility against frontier-tier agent capabilities.

OrcaRoutertencent/hy3-freeHy

Quick Info

Powered by
Provider
OrcaRouter
Model key
tencent/hy3-free
Release date
Jul 6, 2026
Last updated
Jul 6, 2026
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Input tokens
192,000 tokens
Output tokens
128,000 tokens
Context window
256,000 tokens

Latest news about Hy3 (free)

OrcaRouter

Coverage

TechTimes' independent coverage of the Hy3 launch frames the model's strategic positioning around capability per active parameter rather than raw parameter count, reporting Tencent's official specs of 295B total parameters, 21B activated parameters, and a 256K context window — a configuration that puts Hy3 below rival The article contextualizes Hy3 within the broader shift from chat interfaces toward coding assistants, office agents, and multi-step automation systems where latency, long-context handling, instruction following, tool use, and task reliability matter more than parameter count alone. It explicitly notes the caveat that

OrcaRouter

CoverageRelease Notes

MarkTechPost confirms the July 6, 2026 release of Tencent's Hy3 as an open-weight Apache 2.0 Mixture-of-Experts model with 295B total parameters and 21B active per token, targeting reasoning, agentic workflows, and long-context tasks. The architecture uses sparse MoE routing with 192 experts and top-8 activation, keepi The article positions Hy3 within Tencent's Hunyuan lineup as a successor to the April 2026 Hy3 preview and frames the open-weights release as aimed at production agent use cases rather than academic benchmarks. Combined with the OrcaRouter listing, this corroborates the same architectural details (192 experts, top-8 ro

OrcaRouter

Coverage

ExplainX provides the most developer-operational synthesis of Hy3: it cites SWE-bench Verified at 78% (from the Hugging Face leaderboard) and GPQA Diamond at 90.4%, slightly higher than OrcaRouter's panel figures of 75.8 (SWE-bench Multilingual) and 89.7 (GPQA Diamond). The blog details self-hosting requirements (minim Two later updates extend the timeline: on July 14, 2026 Tencent released 1-bit and 4-bit GGUF quantizations with MTP support for llama.cpp on 128 GB single-GPU rigs, enabling local inference without an 8× H20 cluster; and on August 28, 2026 Tencent released an Hy4 preview at 770B total / 49B active parameters with a 1M

OrcaRouter

Coverage

Tencent officially unveiled the Hy3 reasoning and agent model on July 6, 2026, positioning it as an open release with a 295B-total / 21B-active parameter MoE architecture plus a 3.8B-parameter MTP layer, succeeding the April 2026 Hy3 preview and hosted at hy.tencent.com/research/hy3 with code on GitHub under Tencent-Hu Beyond benchmarks, the GIGAZINE coverage highlights Hy3's reliability-oriented training constraints designed to reduce factual conflicts, fabrication, and logical inconsistencies by requiring evidence-backed answers and explicit acknowledgement of unsupported claims. In a real-world document-processing comparison with

OrcaRouter

Coverage

Tencent released Hy3 on July 6, 2026 as a 295-billion-parameter mixture-of-experts model with 21 billion active per pass, shipping under an Apache 2.0 license and uploaded as a full weight collection on Hugging Face. The release shipped with day-one vLLM support, including tool-call and reasoning parsers, multi-token-p The model is a MoE with 192 experts using top-8 routing, grouped-query attention, a 256K context window, and a separate 3.8B multi-token-prediction layer that drives speculative decoding. Engineers specifically highlighted reliability work on tool-calling stability and reduced hallucination rather than raw benchmark sc

OrcaRouter

Official sourceBenchmark

OrcaRouter's model listing for tencent/hy3-free confirms it serves Tencent's Hunyuan Hy3 Mixture-of-Experts model — 295B total parameters with 21B active per pass (192 experts, top-8 routing) — through a rate-limited free tier billed at $0, returning HTTP 429 when limits are hit. The page documents a 256K-token context Live 7-day operational telemetry on the OrcaRouter route shows p50 TTFT of 2.35s, p95 TTFT of 10.00s, output throughput of 223 tok/s, an error rate of 0.52%, and 743.7M tokens of traffic. A benchmark panel dated 2026-07-06 reports AA Coding 58.8 (#43/137), AA Intelligence 42.2 (#51/139), GPQA Diamond 89.7, BrowseComp 8

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