Zen 5
Flagship generation — sparse mixture-of-experts for text, code, and math.
zen5
35B (3B active)Flagship model. Sparse mixture-of-experts, 35B total / 3B active per token. Open weights are a GGUF repackage of Qwen3.6-35B-A3B (Apache-2.0).
zen5-mini
TBAFast, low-cost tier. Agentic MoE with ~10B active parameters per token. Open weights are a GGUF repackage of MiniMax-M2.5 (modified-MIT).
zen5-coder
80B (3B active)Code-specialized MoE, 80B total / 3B active per token. Open weights are a GGUF repackage of Qwen3-Next-80B-A3B-Instruct (Apache-2.0).
zen5-pro
TBAHigher-capability tier for demanding production workloads. The served SKU is full-precision in the cloud; the linked repo is a low-bit (IQ2XXS) GGUF re-host of DeepSeek-V4-Flash for local runs.
zen5-max
TBAMaximum-capability tier for the hardest reasoning and agentic tasks. The served SKU is full-precision in the cloud; the linked repo is a low-bit (IQ2XXS) GGUF re-host of DeepSeek-V4-Pro for local runs.
Zen 3
Multimodal, vision-language, and safety models.
zen3-omni
30B (3B active)Multimodal model (text + vision), 30B total / 3B active MoE. Open weights repackage Qwen3-Omni-30B-A3B-Instruct (Apache-2.0).
zen3-vl
8BVision-language model for image understanding, 8B dense. Open weights repackage Qwen3-VL-8B-Instruct (Apache-2.0).
zen3-guard
5BSafety classifier for content moderation and guardrails, ~5B dense. Open weights repackage ibm-granite/granite-guardian-3.2-5b (Apache-2.0).
Code
Code generation, review, and agentic programming.
Vision
Vision-language and multimodal understanding.
zen3-omni
30B (3B active)Multimodal model (text + vision), 30B total / 3B active MoE. Open weights repackage Qwen3-Omni-30B-A3B-Instruct (Apache-2.0).
zen3-vl
8BVision-language model for image understanding, 8B dense. Open weights repackage Qwen3-VL-8B-Instruct (Apache-2.0).
Embedding & Retrieval
Text embeddings and reranking — served endpoints and open weights.
zen5-embedding
TBAText-embedding endpoint in the Zen5 line for RAG, search, and classification. Served via API.
zen3-embedding
TBAText-embedding endpoint in the Zen3 line for RAG, search, and classification. Served via API; open weights available under the zen-embedding-* repos.
zen-rerank
TBAReranking endpoint that re-scores candidate passages for retrieval pipelines. Served via API, billed per unit; open weights available under the zen-reranker-* repos.
zen-embedding-8b
8B8B text-embedding model for dense retrieval. Open-weight repackage of Qwen/Qwen3-Embedding-8B (Apache-2.0).
zen-embedding-4b
4B4B text-embedding model for dense retrieval. Open-weight repackage of Qwen/Qwen3-Embedding-4B (Apache-2.0).
zen-embedding-0.6b
0.6B0.6B text-embedding model for high-throughput retrieval. Open-weight repackage of Qwen/Qwen3-Embedding-0.6B (Apache-2.0).
zen-reranker-8b
8B8B cross-encoder reranker for search relevance. Open-weight repackage of Qwen/Qwen3-Reranker-8B (Apache-2.0).
zen-reranker-4b
4B4B cross-encoder reranker for search relevance. Open-weight repackage of Qwen/Qwen3-Reranker-4B (Apache-2.0).
zen-reranker-0.6b
0.6B0.6B cross-encoder reranker for high-throughput reranking. Open-weight repackage of Qwen/Qwen3-Reranker-0.6B (Apache-2.0).
Image Generation
Text-to-image and image editing diffusion — served endpoint and open weights.
zen-image
TBAText-to-image diffusion endpoint. Served via API, billed per image; open weights available under zen3-image.
zen3-image
TBAText-to-image diffusion model. Open-weight repackage of Qwen/Qwen-Image (Apache-2.0).
zen-image-edit
TBAInstruction-based image editing diffusion model. Open-weight repackage of Qwen/Qwen-Image-Edit-2509 (Apache-2.0).
Audio & Speech
Text-to-speech, text-to-music, sound effects, speech recognition, and dubbing.
zen-voice
TBAText-to-speech endpoint. Served via API, billed per unit; open weights available under zen3-tts.
zen-music
TBAText-to-music endpoint. Served via API, billed per unit; open weights available under zen-musician.
zen-foley
TBAText-to-sound-effects endpoint. Served via API, billed per unit.
zen3-tts
1.7BText-to-speech model, ~1.7B, 12 Hz codec, multilingual synthesis. Fine-tuned from Qwen/Qwen3-TTS-12Hz-1.7B-Base (Apache-2.0).
zen3-asr
1.7BSpeech-recognition model, ~1.7B, 24-layer audio encoder feeding a Qwen3 decoder; 30 languages. Fine-tuned from Qwen/Qwen3-ASR-1.7B (Apache-2.0).
zen-musician
7BText-to-music model, 7B autoregressive. Repackage of m-a-p/YuE-s1-7B-anneal-en-cot (Apache-2.0).
zen-dub-live
TBALive dubbing / text-to-speech model. Fine-tuned from the Qwen3-TTS family (Apache-2.0).
Video Generation
Text-to-video and image-to-video diffusion.
zen-video
TBAText-to-video diffusion endpoint. Served via API, billed per unit; related open weights: zen-video-i2v (Wan2.2).
zen-world
14BText-to-video diffusion model, 14B. Open-weight repackage of Wan-AI/Wan2.1-T2V-14B (Apache-2.0).
zen-director
5BText + image to video diffusion model, 5B. Open-weight repackage of Wan-AI/Wan2.2-TI2V-5B (Apache-2.0).
Safety
Content moderation and safety classification.
Foundation (Open Weights)
General-purpose open-weight text models.
zen3-nano
8BCompact 8B dense text model. Open-weight repackage of Qwen/Qwen3-8B (Apache-2.0).
zen-eco
4BEfficient 4B dense text model. Open-weight repackage of Qwen/Qwen3-4B (Apache-2.0).
zen-nano
0.6B0.6B dense text model for edge and mobile. Open-weight repackage of Qwen/Qwen3-0.6B (Apache-2.0).
Agents
Open-weight models tuned for tool use and multi-step planning.
zen-agent-4b
4BAgent / tool-use model, 4B dense. Open-weight repackage of Qwen/Qwen3-4B (Apache-2.0); shares the Qwen3-4B lineage with zen-eco, tuned for multi-step tool use.
zen-router
0.6BTiny routing model: reads a prompt and picks the best model to answer it. One forward pass emits a task class, a route distribution over the model catalog, and a feature embedding.
Domain Verticals
Domain-specialized open-weight text models.
zen-medical
32BMedical-domain text model, 32B dense. Fine-tune of zen-pro (Qwen3-32B lineage, Apache-2.0).
zen-legal
32BLegal-domain text model, 32B dense. Fine-tune of zen-pro (Qwen3-32B lineage, Apache-2.0).
zen-finance
32BFinance-domain text model, 32B dense. Fine-tune of zen-pro (Qwen3-32B lineage, Apache-2.0).
zen-sql
32BText-to-SQL model, 32B dense. Fine-tune of zen-pro (Qwen3-32B lineage, Apache-2.0).
zen-translate
32BTranslation model, 32B dense. Fine-tune of zen-pro (Qwen3-32B lineage, Apache-2.0).
zen-multilingual
32BMultilingual text model, 32B dense. Fine-tune of zen-pro (Qwen3-32B lineage, Apache-2.0).
Creative Studio
Open-weight video, image editing, 3D, dubbing, and design models.
zen-world
14BText-to-video diffusion model, 14B. Open-weight repackage of Wan-AI/Wan2.1-T2V-14B (Apache-2.0).
zen-director
5BText + image to video diffusion model, 5B. Open-weight repackage of Wan-AI/Wan2.2-TI2V-5B (Apache-2.0).
zen-image-edit
TBAInstruction-based image editing diffusion model. Open-weight repackage of Qwen/Qwen-Image-Edit-2509 (Apache-2.0).
zen-3d
TBAImage-to-3D asset generation model. Open-weight repackage of JeffreyXiang/TRELLIS-image-large (MIT).
zen-dub-live
TBALive dubbing / text-to-speech model. Fine-tuned from the Qwen3-TTS family (Apache-2.0).
zen-designer-235b-a22b-instruct
235B (22B active)Vision-language design model, 235B total / 22B active MoE. Open-weight repackage of Qwen/Qwen3-VL-235B-A22B-Instruct (Apache-2.0).
zen-designer-235b-a22b-thinking
235B (22B active)Reasoning vision-language design model, 235B total / 22B active MoE. Open-weight repackage of Qwen/Qwen3-VL-235B-A22B-Thinking (Apache-2.0).
zen-designer-gguf
235B (22B active)GGUF build of Zen Designer for local runs, 235B total / 22B active MoE. Repackage of Qwen/Qwen3-VL-235B-A22B-Instruct (Apache-2.0).
Capabilities Matrix
Each model specializes in different modalities and tasks
| Model | Text | Image | Video | Audio | 3D | Code | Agents |
|---|---|---|---|---|---|---|---|
| zen5 | ✓ | — | — | — | — | ✓ | ✓ |
| zen4 | ✓ | — | — | — | — | ✓ | ✓ |
| zen4-max | ✓ | — | — | — | — | ✓ | ✓ |
| zen4-ultra | ✓ | — | — | — | — | ✓ | ✓ |
| zen4-coder | ✓ | — | — | — | — | ✓ | ✓ |
| zen3-omni | ✓ | ✓ | — | ✓ | — | — | — |
| zen3-vl | ✓ | ✓ | — | — | — | — | — |
| zen3-nano | ✓ | — | — | — | — | ✓ | — |
| zen3-guard | ✓ | — | — | — | — | — | — |
| zen3-image | ✓ | ✓ | — | — | — | — | — |
| zen3-audio | ✓ | — | — | ✓ | — | — | — |
| zen3-tts | ✓ | — | — | ✓ | — | — | — |
| zen3-embedding | ✓ | — | — | — | — | — | — |
| zen3-reranker | ✓ | — | — | — | — | — | — |
Infrastructure
Production-ready tools for training and deploying Zen models
Hanzo Engine
High-performance cloud inference — 60+ architectures, CUDA/Metal, OpenAI-compatible API
Hanzo Edge
On-device AI inference — run models locally on any device, browser, or embedded system
Zen Gym
Unified training platform for all Zen models with LoRA, QLoRA, GRPO, and more
Hanzo MCP
Model Context Protocol for AI context management and tool use
Quick Start
Get started with any Zen model in seconds
# Install and run any model
pip install transformers torch
# Use directly
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("zenlm/zen-eco-4b-instruct")
tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-eco-4b-instruct")
# Or use via Hanzo Cloud API
from hanzoai import Hanzo
client = Hanzo(api_key="hk-your-api-key")
response = client.chat.completions.create(
model="zen-eco-4b-instruct",
messages=[{"role": "user", "content": "Hello!"}]
)