Vision AI Models
Explore vision AI models from every major lab and try them on your own images: object detection, OCR, classification, captioning, segmentation, and more. The catalog spans general-purpose vision language models and specialized computer vision models built for a single task. Every model is free to try in the Playground, many are free and open-source to deploy, and new models are added as they ship.
Best Vision Language Models 2026
The best vision language model on our vision benchmark across five tasks right now is GPT-6 Astra by OpenAI, scoring 83.4% across 61 vision language models tested, followed by Claude Opus 5.5 at 82.0%. Updated Oct 8, 2026. See the full ranking.
Best at Object Detection
GPT-6 Astra
Highest score on our object detection benchmark: 82.1%
Best at Counting
Qwen3.8 Max
Highest score on our counting benchmark: 81.1%
Best at Identification
Claude Fable 5
Highest score on our identification benchmark: 100.0%
Best at OCR
Claude Opus 5.5
Highest score on our ocr benchmark: 78.3%
Best at Reasoning
GPT-6 Astra
Highest score on our reasoning benchmark: 87.2%
Benchmark scores
Ranked on our vision benchmark across five tasks, 61 vision language models tested, updated Oct 8, 2026
Explore Vision AI Models
147 models · 25 tasks · latest model added October 7, 2026
Open-Source Vision AI Models
89 models with downloadable weights you can self-host under their licenses (Custom, MIT, and Apache 2.0). 40 run live in the Playground through hosted APIs, so self-hosting is optional.
| Actions | ||||
|---|---|---|---|---|
Mistral Large 4Mistral NEW | 1.05T total, 49B active | Custom | Oct 2026 | |
MiMo V2.6 FlashXiaomi | 309B total, 15B active | MIT | Sep 2026 | |
MiMo V2.6 ProXiaomi | 1.02T total, 42B active | MIT | Sep 2026 | |
GLM 5.3 FlashZ.ai | 320B total, 18B active | MIT | Aug 2026 | |
Qwen3.8 27BQwen | 27.78B | Apache 2.0 | Aug 2026 | |
Muse Glimmer 30BMeta | 29.6B | Apache 2.0 | Aug 2026 | |
Kimi K3Moonshot AI | 2.8T | Modified MIT | Jul 2026 | |
Gemma 4 12BGoogle | 12B | Apache 2.0 | Jun 2026 |
Vision AI Models via API
58 proprietary models where the weights aren't downloadable: access is through each provider's API and billed by them. Try all of them free in the Playground.
| Actions | |||||
|---|---|---|---|---|---|
Claude Haiku 5.5Anthropic NEW | $0.10 | $0.50 | 1M | Oct 2026 | |
GPT-6.1 SolOpenAI NEW | $2.00 | $10.00 | 1.1M | Sep 2026 | |
Claude Sonnet 5.5Anthropic NEW | $2.00 | $10.00 | 1M | Sep 2026 | |
Claude Opus 5.5Anthropic | $4.00 | $20.00 | 1M | Sep 2026 | |
GPT-6 LunaOpenAI | $0.10 | $0.50 | 1.1M | Sep 2026 | |
GPT-6 SolOpenAI | $2.00 | $10.00 | 1.1M | Sep 2026 | |
Grok 4.7SpaceXAI | $2.00 | $6.00 | 500K | Sep 2026 | |
GPT-6 AstraOpenAI | $10.00 | $50.00 | 1.1M | Sep 2026 |
Computer Vision Models
48 specialized computer vision models built for a single task such as object detection, segmentation, or embeddings. They are far smaller than general-purpose vision language models, so they are cheaper and faster to run in production.
| Actions | |||
|---|---|---|---|
RF-DETR SegmentationRoboflow | Apache 2.0 | Oct 2025 | |
YOLO26Ultralytics | AGPL 3.0 | Oct 2025 | |
RF-DETRRoboflow | Apache 2.0 | Mar 2025 | |
YOLO11Ultralytics | AGPL 3.0 | Sep 2024 | |
 YOLOv10THU-MIG | AGPL 3.0 | May 2024 | |
 YOLO-NASDeci AI | Custom | May 2023 | |
YOLOv8Ultralytics | AGPL 3.0 | Jan 2023 | |
YOLOv8 Instance SegmentationUltralytics | AGPL 3.0 | Jan 2023 |
What Are Vision AI Models?
Vision AI models are models that understand visual input: images, video, and documents. They span two families. Vision language models (GPT, Claude, Gemini, Qwen VL) reason about images with natural language and handle open-ended tasks zero-shot. Specialized computer vision models (RF-DETR, SAM 3, CLIP, Florence-2) are built for one task and run faster, cheaper, and often more accurately on it in production.
Which family do you need?
Prototype with a VLM to validate the task, then move to a specialized or fine-tuned model when classes are fixed and volume grows. For object detection, that usually means training RF-DETR on your own data; it's Apache 2.0, so you can ship it commercially with no license fee. In a Roboflow Workflow you can chain both: a detector localizes, a VLM interprets only the crops that matter.
Frequently Asked Questions About Vision AI Models
Vision AI models are models that interpret visual data such as images, video, and documents. They include vision language models that answer questions about images in natural language, and specialized computer vision models for tasks like object detection, OCR, classification, and segmentation.
All major frontier models accept images: GPT-5.6, Claude Opus 4.7, and Gemini 3.1 Pro, plus open-weight options like Qwen3 VL, Gemma 4, and Pixtral. This page lists 100+ vision-capable models you can test on your own image right now.
Yes. Many models on this page are free and open-source, including CLIP and Florence-2 (MIT), RF-DETR and Qwen3 VL (Apache 2.0). They run with no API costs when self-hosted via Roboflow Inference. Every model here is also free to try in the Playground.
Computer vision models are the specialized family within vision AI: models built and trained for a specific visual task. Vision AI also includes multimodal language models that handle visual tasks through prompting. If you want to train a model on your own data, see the Roboflow model library; this page is for trying hosted models.
This page lists 100+ vision AI models from Google, OpenAI, Anthropic, Meta, Qwen, Mistral, and more, covering object detection, OCR, classification, captioning, and segmentation. Every model can be tested on your own image in the browser and compared head to head before you commit to one.