Hy3 preview
Tencenthuggingface.co/tencent/Hy3-preview
Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...
Updated 1 h ago · first seen 11 Sept 2026
model_01M294WW0Q111ECFD56MY8GB52
- Parameters
- 298.8B
- T2 · 1 h ago
- Context
- 262.1K tokens
- T2 · 1 h ago
- Released
- 22 Apr 2026
- T2 · 1 h ago
Specification
- Release date
- 22 Apr 2026
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Parameters
- 298.8B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Context window
- 262.1K tokens
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Max output
- 235.9K tokens
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Modalities
- text
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Input modalities
- text
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Hugging Face repo
- tencent/Hy3-preview
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Downloads
- 59,468
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Likes
- 309
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Last modified
- 2026-04-23T14:59:42+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Openrouter id
- tencent/hy3-preview
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Supported parameters
- include_reasoning, max_tokens, reasoning, reasoning_effort, seed, temperature, tool_choice, tools, top_p
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
20
Source tiers
T220
Freshest observation
1 h ago
Conflicts
None
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
No
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 262.1K tokens
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Max output
- 235.9K tokens
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
No benchmark results recorded
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| OpenRoutertencent/hy3-preview | $0.18 | $0.60 | $0.06 | — | 262.1K | 1 h ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- OpenRouter
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| Apple M3 Ultra | 4bit | — | 172.3 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 172.3 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 172.3 GB | Yes |
| Apple M2 Ultra | 4bit | — | 172.3 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 172.3 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 172.3 GB | No |
| Apple M1 Ultra | 4bit | — | 172.3 GB | No |
| Apple M3 Max | 4bit | — | 172.3 GB | No |
| Apple M4 Max | 4bit | — | 172.3 GB | No |
| NVIDIA DGX Spark | 4bit | 128 GB | 172.3 GB | No |
| Apple M2 Max | 4bit | — | 172.3 GB | No |
| NVIDIA A100 80GB | 4bit | 80 GB | 172.3 GB | No |
| NVIDIA H100 SXM | 4bit | 80 GB | 172.3 GB | No |
| Apple M1 Max | 4bit | — | 172.3 GB | No |
| Apple M4 Pro | 4bit | — | 172.3 GB | No |
| Apple M3 Pro | 4bit | — | 172.3 GB | No |
| Apple M1 Pro | 4bit | — | 172.3 GB | No |
| Apple M2 Pro | 4bit | — | 172.3 GB | No |
| Apple M4 | 4bit | — | 172.3 GB | No |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 172.3 GB | No |
| Apple M2 | 4bit | — | 172.3 GB | No |
| Apple M3 | 4bit | — | 172.3 GB | No |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 172.3 GB | No |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 172.3 GB | No |
| Apple M1 | 4bit | — | 172.3 GB | No |
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Context window
Context windowcontext_length1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 262.1K tokens | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
OpenRouter lists Hy3 preview at $0.18 in / $0.6 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=tencent&p=0&sort=downloads | listing | T2· Quality secondary | 1 h ago | 2 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 1 h ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.