Vision AI models: screenshots, charts and scans as input

Vision
Services found: 156
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
141

Fugu Ultra

Sakana
Text & chatVisionLong context 1M+
$5 / $301M tokensAPI only30View
142

GPT-5.1-Codex-Max

OpenAI
Text & chatVisionCoding
$1.25 / $10400K tokensAPI only10View
143

Seed-2.0-Code

Bytedance Seed
Text & chatVisionVideo
$0.5 / $3262.1K tokensAPI only3View
144

GPT-5 Image Mini

OpenAI
VisionImage generationStructured JSON output
$2.5 / $2400K tokensAPI only2View
145

GPT-5.4 Pro

OpenAI
Text & chatVisionReasoning
$30 / $1801.05M tokensAPI only180View
146

Llama 4 Maverick

Meta
Text & chatVisionLong context 1M+
$0.2 / $0.6961.05M tokensAPI only0.696View
147

Llama 4 Scout

Meta
Text & chatVisionLong context 1M+
$0.1 / $0.310M tokensAPI only0.3View
148

Mistral Large 3

Mistral AI
Text & chatVisionReasoning
$0.5 / $1.5256K tokensAPI only1.5View
149

Qwen3.8 Omni Flash

Qwen
Text & chatVisionAudio
1M tokensAPI onlyView
150

MiMo-V2.6-Pro

Xiaomi
Text & chatVisionAudio
$0.435 / $0.871M tokensAPI only0.87View
151

MiMo-V2.6-Flash

Xiaomi
Text & chatVisionAudio
$0.14 / $0.281M tokensAPI only0.28View
152

MiMo-V2.6-Pro-UltraSpeed

Xiaomi
Text & chatVisionAudio
$4.35 / $8.71M tokensAPI only8.7View
153

Perceptron Mk1.5

Perceptron
Text & chatVisionAudio
$0.15 / $1.536.9K tokensAPI only1.5View
154

Ling 3.0 Flash VL

InclusionAI
Text & chatVisionVideo
$0.02 / $0.059256K tokensAPI only0.059View
155

Pareto

Unbiased
Text & chatVisionPrompt caching
$0.8 / $3.2API only3.2View
156

Ternary Bonsai 2 27B

PrismML
Text & chatVisionReasoning
262.1K tokensAPI onlyView

Browse by need

Vision means the model takes images as input and reasons about them - reading a chart, extracting a table from a screenshot, checking a photo against a description. It is not image generation; for that, see the Image generation filter.

156 models qualify, priced from $0.18 to $50 per million output tokens. Image input is billed in tokens too, and a high-resolution photo can consume as much as several pages of text. Claude Fable 5.1, GPT-6 Astra and Claude Opus 5 lead on dense diagrams, handwriting and multi-page scans; for simple tasks the budget tier is a tenth of the price.

Resolution drives costImage input bills in tokens scaled by size. Downscaling before upload is the cheapest optimisation.
Reading is not generatingThese models interpret images; producing them is a separate capability.
Hard cases separate tiersHandwriting, dense diagrams and multi-page scans are where frontier models earn their price.

Models with this capability

How to choose

  • Test on your worst images, not your best — scans and photos of screens are the usual failure point.
  • Check whether the model accepts multiple images per request if you process documents.
  • Compare cost per page, not per token, when the workload is document-heavy.
  • Pair with structured output if you extract fields rather than descriptions.

Common mistakes

Uploading full-resolution photosMost tasks work at a fraction of the pixels and a fraction of the price.
Trusting extracted numbersVision models misread digits under poor contrast. Verify anything financial.

Who this suits

Document processingInvoices, contracts, forms and identity documents at scale.
SupportUsers pasting screenshots instead of describing the problem.
CommerceCataloguing, moderation and attribute extraction from product photos.

Frequently asked questions

Does vision mean the model draws pictures?

No. Vision is image input. For generating images, see image generation.

How is image input billed?

In tokens, scaled by resolution. A high-resolution photo can cost as much as several pages of text, so downscaling before upload is the first optimisation.

Which model reads handwriting and dense diagrams best?

The frontier tier — Claude Fable 5.1, GPT-6 Astra, Claude Opus 5. For receipts and product photos the budget tier is indistinguishable in practice.

Can vision models read tables?

Yes, and well — but verify totals. Structure survives better than exact figures.

Do they work on video frames?

They accept stills. For continuous footage, use a video-understanding model.

Frequently searched

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