VLM design has gone through four distinct architectural eras in just six years — and Era 3 has split into two parallel branches. Early models kept frozen vision and language towers, aligned contrastively (CLIP) or bridged by a learnable connector into a frozen LM (BLIP-2, Flamingo). The 2023–2025 generation made a pretrained LLM the trunk and treated vision as a bolt-on adapter (LLaVA, Qwen2.5-VL, GPT-4V). The 2025–2026 generation drops the bridge entirely and early-fuses all modalities into a single transformer — forking along the output axis — and in 2026 the trunk is becoming a world model that predicts and acts:
- Era 3a — Native Multimodal Input → Text Out. Image, video, and (sometimes) audio enter a single early-fused token stream, but generation is still autoregressive text. This is the design used by today's general-purpose flagships: Qwen3.5 / Qwen3.6, Gemma 4, Gemini 3, GPT-5.4, Phi-4-Reasoning-Vision, Claude Opus 4.6, Nemotron 3 Nano Omni.
- Era 3b — Omni-Modal Unified I/O. The same fused trunk plus dedicated image / video decoder (VAE / DiT / flow-matching) and/or audio codec decoder heads, so the model can also generate images, video, and speech — via autoregression or, increasingly, discrete diffusion / AR-Diffusion (LLaDA2.0-Uni, Mamoda2.5). This is the design used by unified models: BAGEL, Qwen3.5-Omni, InternVL-U, Emu3 / Emu3.5, Erin 5.0, DeepSeek-Janus-Pro, LLaDA2.0-Uni, Mamoda2.5. Generation-only specialists share the same decoder stack without the understanding half — Sora 2, Veo 3, Kling now generate video with synchronized audio, and they double as the substrate for Era 4 world models (DreamX-World builds on Wan, OmniDreams on Cosmos).
- Era 4 — World-Action Models (2026 →). The unified trunk adds action as a first-class modality and closes the loop with the environment: it predicts future observations, maintains persistent state and spatial memory, and emits actions — generator, perceiver, and policy in one network: Cosmos 3, Kairos, DreamX-World 1.0, OmniDreams (see §1.1 World Models).
我的VLM知识停留在 Era 2 ~ Era 3 需要补充一下新知识了!!
- Thu, 28 Sep 2023 Qwen Technical Report
- Thu, 24 Aug 2023 Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
- Architecture
- txt: Qwen-7B 7.7B
- img: 1.9B
- Openclip’s ViT-bigG, input images are resized to a specific resolution
- projector: 0.08B
- Learnable Query Embs + CrossAttn + 2D absolute positional encodings
- This mechanism compresses the visual feature sequence to a fixed length of 256
- Architecture
- Sun, 4 Feb 2024 Introducing Qwen1.5
- Mon, 15 Jul 2024 Qwen2 Technical Report
- Mon, 15 Jul 2024 Qwen2-Audio Technical Report
- Wed, 18 Sep 2024 Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- https://huggingface.co/collections/Qwen/qwen2-vl
- 2B 7B 72B
- Architecture
- txt: Qwen2 series 1.5B, 7.6B, 72B
- img:
- 675M Vision Encoder(DFN’s ViT) + RoPE-2D
- Naive Dynamic Resolution & Multimodal Rotary Position Embedding (M-RoPE)
- Qwen2VisionPatchEmbed -> Conv3dLayer
- 相邻两帧为一组
- projector:
- Qwen2VisionPatchMerger -> two-layer multi-layer perceptron (MLP)
- hidden_size = context_dim * (spatial_merge_size**2)
- Qwen2VisionPatchMerger -> two-layer multi-layer perceptron (MLP)
- Thu, 19 Dec 2024 Qwen2.5 Technical Report
- Sun, 26 Jan 2025 Qwen2.5-1M Technical Report
- Wed, 19 Feb 2025 Qwen2.5-VL Technical Report
- https://huggingface.co/collections/Qwen/qwen25-vl
- 3B 7B 72B
- Architecture
- txt: Qwen2.5 series
- img:
- 从头训练 Vision Transformer (ViT) architecture
- 2D-RoPE
- 4层 full attention,其余 window attention size 112 * 112
- dynamic fps sampling
- 改成 3D mrope 使用实际实际间隔加权
- Qwen2VisionPatchEmbed -> Conv3dLayer
- 相邻两帧为一组
- projector:
- Qwen2VisionPatchMerger -> two-layer multi-layer perceptron (MLP)
- hidden_size = context_dim * (spatial_merge_size**2)
- Qwen2VisionPatchMerger -> two-layer multi-layer perceptron (MLP)
- Wed, 26 Mar 2025 Qwen2.5-Omni Technical Report
- Wed, 14 May 2025 Qwen3 Technical Report
- Wed, 9 Sep 2025 Qwen3-Next
- Mon, 22 Sep 2025 Qwen3-Omni Technical Report
- Wed, 26 Nov 2025 Qwen3-VL Technical Report
- Thu, 29 Jan 2026 Qwen3-ASR Technical Report
- Sun, 15 Feb 2026 Qwen3.5: Towards Native Multimodal Agents
- Tue, 14 Apr 2026 Qwen3.6-35B-A3B: Agentic Coding Power, Now Open to All