What should I compare before choosing a vision model API?
Image input support, JSON mode if you need it, latency, output cost, and quality on your real images. Synthetic benchmarks lie more often than people admit.
Vision APIs are useful for screenshots, receipts, product photos, and ticket attachments. What matters is whether the model accepts the image type you have, whether you need JSON out, and how wrong answers look on your own samples. Price second. This page is a small set of vision-capable candidates so you can A/B a few instead of the whole catalog.
ソース基準: NextModel capability mapping and OpenRouter input-modality metadata when available. · 更新日 2026-07-01
Fit score
まず候補リストから始め、実際のプロンプトで試し、本番ルーティング前に月額コストを比較します。
比較表
本番候補を絞り込むとき、フォールバック方針を作るとき、モデル経済性を比べるときに使います。
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
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FAQ
Image input support, JSON mode if you need it, latency, output cost, and quality on your real images. Synthetic benchmarks lie more often than people admit.
Sometimes, for light work. Dense documents and high-accuracy extraction usually need a stronger model and a real eval set.
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