HunyuanImage-3.0

HunyuanImage-3.0 is a native multimodal model designed for text-to-image generation, operating within an autoregressive framework that unifies multimodal understanding and generation. It achieves performance comparable to leading closed-source models, emphasizing semantic accuracy and photorealistic visual quality.

Key features:

  • Unified Autoregressive Architecture: Integrates text and image modalities directly, enabling contextually rich generation without reliance on DiT-based architectures.
  • Large-Scale MoE Model: Features 80 billion total parameters (13 billion activated per token) with a Mixture of Experts (MoE) configuration of 64 experts.
  • Advanced Reasoning: Leverages world knowledge for interpreting user intent, enhancing sparse prompts with contextual details.
  • Supported Tasks: Text-to-image generation, including complex prompts and multi-turn interactions. 
  • System Requirements: 4×80GB recommended GPU memory, disk space: ~170GB for model weights, Python 3.12+, PyTorch 2.7.1.

Announce Date: 25.09.2025
Parameters: 80B
Experts: 64
Activated at inference: 13B
VRAM requirements: 42.3 GB using 4 bits quantization, 84.5 GB using 8 bits quantization, 169.0 GB using 16 bits quantization
Developer: Tencent
Transformers Version: 4.50.0
License: tencent-hunyuan-community

Public endpoint

Use our pre-built public endpoints for free to test inference and explore HunyuanImage-3.0 capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU TPS Status Link
There are no public endpoints for this model yet.

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended configurations for hosting HunyuanImage-3.0

Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-4.16.64.160 16 65536 160 4 $0.96 Launch
teslaa2-4.32.128.160 32 131072 160 4 $1.26 Launch
teslaa10-3.16.96.160 16 98304 160 3 $1.34 Launch
teslav100-2.16.64.240 16 65535 240 2 $2.22 Launch
rtxa5000-4.16.128.160.nvlink 16 131072 160 4 $2.34 Launch
teslaa100-1.16.64.160 16 65536 160 1 $2.37 Launch
rtx3090-3.16.96.160 16 98304 160 3 $2.45 Launch
rtx5090-2.16.64.160 16 65536 160 2 $2.93 Launch
rtx4090-3.16.96.160 16 98304 160 3 $3.23 Launch
teslah100-1.16.64.160 16 65536 160 1 $3.83 Launch
h200-1.16.128.160 16 131072 160 1 $4.74 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
rtxa5000-6.24.192.160.nvlink 24 196608 160 6 $3.50 Launch
teslav100-4.32.96.160 32 98304 160 4 $4.35 Launch
teslaa100-2.24.96.160.nvlink 24 98304 160 2 $4.61 Launch
h200-1.16.128.160 16 131072 160 1 $4.74 Launch
rtx5090-4.16.128.160 16 131072 160 4 $5.74 Launch
rtx4090-6.44.256.160 44 262144 160 6 $6.63 Launch
teslah100-2.24.256.160 24 262144 160 2 $7.84 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslaa100-3.32.384.240 32 393216 240 3 $7.36 Launch
h200-2.24.256.240 24 262144 240 2 $9.41 Launch
rtx5090-8.44.256.240 44 262144 240 8 $11.55 Launch
teslah100-3.32.384.240 32 393216 240 3 $11.73 Launch

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