ModelRefs / Best Multimodal AI Models in 2026
Best Multimodal AI Models in 2026
Vision + text + audio models. Compare GPT-4, Gemini, Llama 3 vision, and other multimodal AI models with benchmarks and pricing.
Overview
Multimodal models unify perception across modalities — enabling document understanding, visual QA, and cross-modal agents.
ModelRefs tracks 25 multimodal models with a published reference page. Each page states the provider, the capabilities ModelRefs has evidence for, the benchmark results it holds with their dates and sources, and the limitations and coverage gaps that remain.
Models in this category
25 multimodal models have a published reference page on ModelRefs; the first 24 are listed here.
Listed alphabetically. Category membership means a model is a candidate worth evaluating for this kind of work, not a ranking and not an endorsement — compare the evidence on each page against your own requirements.
- Claude 3 Haiku
- Claude 3 Opus
- Claude 3.5 Sonnet
- Claude 3.7 Sonnet
- Claude Opus 4
- Claude Sonnet 4
- Gemini 1.5 Flash
- Gemini 1.5 Pro
- Gemini 2.0 Flash
- Gemini 2.5 Flash
- Gemini 2.5 Pro
- Gemma 3 27B
- GPT-4.1
- GPT-4.1 Mini
- GPT-4o
- GPT-4o Mini
- GPT-5
- GPT-5 Mini
- InternVL2.5 78B
- Llama 4 Scout
- Mistral Small 3.1
- o3
- o4 Mini
- Pixtral 12B
For an ordered view of the same ground, see the multimodal models ranking, which scores models on the benchmark evidence ModelRefs holds.
Other model categories
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Best Multimodal AI Models in 2026.
Frequently asked questions
What is a multimodal AI model?
A multimodal model accepts more than one input type — typically images and text — and produces text or structured outputs, enabling tasks like visual QA.