Best vision AI models

20 vision models compared on specs, pricing and community reviews.

  • Gemini 2.5 Pro — google: Gemini 2.5 Pro is Google's flagship model with native multimodality and a 1M token context window, featuring built-in 'thinking' for complex reasoning. It leads
  • Gemini 2.5 Flash-Lite — google: Gemini 2.5 Flash-Lite is optimized for high-throughput, latency-sensitive tasks at the lowest cost in the Gemini 2.5 family. It retains a 1M token context windo
  • Claude Opus 4.1 — anthropic: Claude Opus 4.1 is Anthropic's top-tier model, excelling at agentic coding, complex reasoning and long-horizon tasks. It supports a 200k context window and visi
  • Claude Haiku 4.5 — anthropic: Claude Haiku 4.5 is optimized for speed and affordability while retaining solid reasoning ability inherited from the Claude 4 family. It supports a 200k context
  • Gemini 2.5 Flash — google: Gemini 2.5 Flash balances speed, cost and reasoning quality with a configurable thinking budget. It supports a 1M token context and full multimodal input. It's
  • Gemma 3 — google: Gemma 3 is a family of open-weight models (1B-27B) with multimodal and multilingual support, derived from Gemini research. It supports a 128k context window. It
  • Claude Sonnet 4.5 — anthropic: Claude Sonnet 4.5 offers strong coding and agentic capabilities at a mid-tier price point, with a 200k context window (1M in beta). It's positioned as Anthropic
  • Mistral Small 3.2 — mistral: Mistral Small 3.2 is a 24B parameter open-weight model with multimodal support, tuned for instruction following and reduced repetition errors. It offers a 128k
  • Qwen2.5-VL-72B — alibaba: Qwen2.5-VL-72B provides advanced visual understanding including document parsing, video comprehension and object grounding. It supports a 128k context window an
  • Embed v4 — cohere: Embed v4 generates unified embeddings for text, images and mixed documents (like PDFs with charts), supporting a 128k token context. It's designed for enterpris
  • Phi-4-multimodal — microsoft: Phi-4-multimodal is a 5.6B parameter model that unifies text, image and audio understanding in a single small model with a 128k context window. It's released un
  • Amazon Nova Pro — amazon: Amazon Nova Pro is a multimodal model supporting text, image and video understanding with a 300k token context window, available exclusively via AWS Bedrock. It
  • ERNIE 4.5 — baidu: ERNIE 4.5 is a family of mixture-of-experts models (up to 424B parameters) supporting text and multimodal understanding, released with open weights for several
  • Claude 3.5 Sonnet — anthropic: Claude 3.5 Sonnet introduced computer use (agentic screen control) and improved coding performance over Claude 3 Opus at a lower price. It supports a 200k conte
  • Reka Flash 3 — reka ai: Reka Flash 3 is a 21B parameter multimodal model with reasoning capabilities, trained via reinforcement learning and released under Apache 2.0. It supports a 12
  • Pixtral Large — mistral: Pixtral Large is a 124B parameter model combining a 1B vision encoder with Mistral Large 2's text backbone, supporting a 128k context window. It excels at docum
  • GPT-4o mini — openai: GPT-4o mini is a cost-efficient version of GPT-4o designed for high-volume tasks. It supports text and vision inputs with a 128k context window. It offers stron
  • GPT-4.1 mini — openai: GPT-4.1 mini balances cost and capability, offering a 1M token context window at a fraction of GPT-4.1's price. It maintains strong coding and reasoning perform
  • GPT-4o — openai: GPT-4o is OpenAI's natively multimodal model supporting text, image and audio inputs with fast, low-latency responses. It powers ChatGPT and the API with a 128k
  • GPT-4.1 — openai: GPT-4.1 offers a 1M token context window with major improvements in coding and instruction following over GPT-4o. It's available in standard, mini and nano size