Multimodal guide

Best multimodal AI models

This page ranks models with live image capability signals so buyers can shortlist options for visual analysis, image-assisted chat, and mixed text plus media workflows.

Live signalImage capability exposed in the live catalog

Live signalEnough context for multimodal prompts and follow-up turns

Live signalPricing visibility to compare visual workloads

Live signalProvider coverage for teams that need redundancy

Fast answer

Start with the live shortlist, then validate the route

Here it means the live catalog exposes image capability alongside text workflows, which makes the model a candidate for mixed media and visual analysis use cases.

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, 9:34 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

Model details Provider page

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

Model details Provider page

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

Model details Provider page

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

Model details Provider page

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

Model details Provider page

FAQ

What buyers usually ask

What does multimodal mean on this page?

Here it means the live catalog exposes image capability alongside text workflows, which makes the model a candidate for mixed media and visual analysis use cases.

How should I compare multimodal models?

Start with capability coverage and context, then compare price and provider options. Visual tasks often need enough room for both media context and text instructions.

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.

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