Modell-Shortlist

Best vision model APIs for image understanding

Compare vision model APIs for screenshots, documents, product images, and support tickets, with price and capability labels.

Wofur ist diese Shortlist gedacht?: Vision models

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.

Quellenbasis: NextModel capability mapping and OpenRouter input-modality metadata when available. · Aktualisiert 2026-07-01

Fit score

Empfohlene Kandidaten vision models

Starten Sie mit der Shortlist, testen Sie echte Prompts und vergleichen Sie die monatlichen Kosten vor dem Produktionsrouting.

AnthropicCatalog

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

$1.45 / 1M tokensInput$7.23 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
RoutingConfigured
StreamingTool callingJSON modeVisionLong context
Platform curatedNextModel gateway catalog (Go origin)
View details
AnthropicCatalog

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

$0.145 / 1M tokensInput$0.723 / 1M tokensOutput200kContext
Best forimage understanding, multimodal chat
RoutingConfigured
StreamingTool callingJSON modeVisionLong context
Platform curatedNextModel gateway catalog (Go origin)
View details
AnthropicCatalog

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

$0.723 / 1M tokensInput$3.62 / 1M tokensOutput200kContext
Best forimage understanding, multimodal chat
RoutingConfigured
StreamingTool callingJSON modeVisionLong context
Platform curatedNextModel gateway catalog (Go origin)
View details
AnthropicCatalog

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

$0.723 / 1M tokensInput$3.62 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
RoutingConfigured
StreamingTool callingJSON modeVisionLong context
Platform curatedNextModel gateway catalog (Go origin)
View details

Vergleichstabelle

Vergleichen Sie die Shortlist nach Preis, Anbieter, Kontext, Fahigkeiten und Quelle.

Nutzen Sie diese Ansicht, wenn Sie eine Produktions-Shortlist eingrenzen, eine Fallback-Strategie bauen oder die Modellokonomie vergleichen.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
Anthropic: Claude Fable 5anthropic/claude-fable-5Anthropic$1.45 / 1M tokens$7.23 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5Anthropic$0.145 / 1M tokens$0.723 / 1M tokens200k
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Opus 4.5anthropic/claude-opus-4.5Anthropic$0.723 / 1M tokens$3.62 / 1M tokens200k
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Opus 4.6anthropic/claude-opus-4.6Anthropic$0.723 / 1M tokens$3.62 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7Anthropic$0.723 / 1M tokens$3.62 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Opus 4.8anthropic/claude-opus-4.8Anthropic$0.723 / 1M tokens$3.62 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Claude Opus 5anthropic/claude-opus-5Anthropic$0.723 / 1M tokens$3.62 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated
Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5Anthropic$0.434 / 1M tokens$2.17 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated

FAQ

Vision models FAQ

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.

Can low-cost models handle vision tasks?

Sometimes, for light work. Dense documents and high-accuracy extraction usually need a stronger model and a real eval set.