Vision guide

Best image-capable LLMs

This page highlights models that expose image capability in the live catalog and ranks them for teams that need visual analysis alongside text prompts and agent workflows.

Live signalImage capability exposed in the live catalog
Live signalContext room for mixed text and image prompts
Live signalTool and provider support where available
Live signalLive pricing for production visual workloads
Fast answer

Start with the live shortlist, then validate the route

This page targets LLM-style visual analysis and mixed prompts specifically, while the multimodal guide is broader and covers the wider text plus image workflow category.

Data source and freshness

Catalog-backed, not a static price sheet

TVP refreshes this page from the live OpenRouter model catalog. This render used 428 public model records and was synchronized Jul 14, 2026, 9:33 PM UTC. Pricing, availability, and context values can change.

Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.

Shortlist

Top live candidates right now

meta-llama

Meta: Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

Context10,000,000
Input$0.1
Output$0.3

10,000,000 token context and image capability make it suitable for mixed text and visual workflows.

  • text
  • image
  • tools
  • structured
x-ai

xAI: Grok 4.20

Grok 4.20 is a reasoning model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

Context2,000,000
Input$1.25
Output$2.50

2,000,000 token context and image capability make it suitable for mixed text and visual workflows.

  • text
  • image
  • file
  • tools
  • structured
openai

OpenAI: GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

Context1,050,000
Input$1.00
Output$6.00

1,050,000 token context and image capability make it suitable for mixed text and visual workflows.

  • file
  • image
  • text
  • tools
  • structured
openai

OpenAI: GPT-5.6 Luna Pro

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Context1,050,000
Input$1.00
Output$6.00

1,050,000 token context and image capability make it suitable for mixed text and visual workflows.

  • file
  • image
  • text
  • tools
  • structured
openai

OpenAI: GPT-5.4

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...

Context1,050,000
Input$2.50
Output$15.00

1,050,000 token context and image capability make it suitable for mixed text and visual workflows.

  • text
  • image
  • file
  • tools
  • structured
FAQ

What buyers usually ask

What is the difference between this page and the multimodal guide?

This page targets LLM-style visual analysis and mixed prompts specifically, while the multimodal guide is broader and covers the wider text plus image workflow category.

Why compare provider coverage for image-capable models?

Teams often need redundancy for visual workflows too. Provider coverage helps identify whether a model is easy to route consistently in production.

Next step

Use the guide, then validate the route in live TVP data.

TVP keeps the shortlist connected to the current catalog, provider coverage, and token pricing so buyers can move from research to routing without starting over.