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Daftar pendek model

Best vision model APIs for image understanding

Compare vision-capable model APIs for image understanding, document screenshots, multimodal support workflows, and cost-sensitive routing.

Daftar pendek ini untuk apa?

Vision model APIs are useful for screenshots, receipts, product images, visual support tickets, and multimodal Q&A. The right choice depends on image input support, context size, price, and whether the same model must also produce structured JSON output. NextModel groups vision-capable candidates with price and capability labels so developers can test a small set of models quickly.

Basis sumber: NextModel capability mapping and OpenRouter input-modality metadata when available.

Fit score

Kandidat rekomendasi vision models

Mulai dari daftar pendek, uji prompt nyata, lalu bandingkan biaya bulanan sebelum routing produksi.

AnthropicCatalog

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

$5 / 1M tokensInput$25 / 1M tokensOutput1MContext
Best forfrontier reasoning, large codebase review, strategy analysis
RoutingConfigured
Tool callingJSON modeLong contextReasoningStreamingVision
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
View details
AnthropicCatalog

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

$3 / 1M tokensInput$15 / 1M tokensOutput1MContext
Best forcoding agents, code review, complex writing
RoutingConfigured
Tool callingJSON modeLong contextReasoningStreamingVision
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
View details
GoogleCatalog

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

$1.25 / 1M tokensInput$10 / 1M tokensOutput1MContext
Best forlong-context analysis, vision workflows, scientific reasoning
RoutingConfigured
Tool callingVisionJSON modeLong contextReasoningStreaming
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
View details
GoogleCatalog

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

$0.3 / 1M tokensInput$2.50 / 1M tokensOutput1MContext
Best forlong-document summarization, image Q&A, fast multimodal routing
RoutingConfigured
Tool callingVisionJSON modeLong contextStreamingLow cost
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
View details

Tabel perbandingan

Bandingkan daftar pendek berdasarkan harga, penyedia, konteks, kemampuan, dan sumber.

Gunakan tampilan ini untuk mempersempit shortlist produksi, membangun kebijakan fallback, atau membandingkan ekonomi model.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7Anthropic$5 / 1M tokens$25 / 1M tokens1M
Tool callingJSON modeLong contextReasoning
frontier reasoning, large codebase review2300-6800msCatalogOpenRouter if available
Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5Anthropic$3 / 1M tokens$15 / 1M tokens1M
Tool callingJSON modeLong contextReasoning
coding agents, code review1600-4800msCatalogOpenRouter if available
Google: Gemini 2.5 Progoogle/gemini-2.5-proGoogle$1.25 / 1M tokens$10 / 1M tokens1M
Tool callingVisionJSON modeLong context
long-context analysis, vision workflows1500-5000msCatalogOpenRouter if available
Google: Gemini 2.5 Flashgoogle/gemini-2.5-flashGoogle$0.3 / 1M tokens$2.50 / 1M tokens1M
Tool callingVisionJSON modeLong context
long-document summarization, image Q&A900-2800msCatalogOpenRouter if available
OpenAI: GPT-4o-miniopenai/gpt-4o-miniOpenRouter$0.15 / 1M tokens$0.6 / 1M tokens128k
Tool callingVisionJSON modeLong context
low-cost chat, image understanding800-2400msCatalogOpenRouter if available
MoonshotAI: Kimi K2.6moonshotai/kimi-k2.6Moonshot AI$0.73 / 1M tokens$3.49 / 1M tokens262.1k
JSON modeLong contextStreamingTool calling
long Chinese documents, contract review1400-4400msCatalogOpenRouter if available
Meta: Llama 4 Maverickmeta-llama/llama-4-maverickMeta$0.15 / 1M tokens$0.6 / 1M tokens1M
JSON modeLong contextStreamingLow cost
open-model workflows, cost-sensitive long context950-2800msCatalogOpenRouter if available
Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instructMistral AI$0.1 / 1M tokens$0.3 / 1M tokens128k
Tool callingJSON modeStreamingLow cost
translation, classification700-2300msCatalogOpenRouter if available

FAQ

Vision models FAQ

What should I compare before choosing a vision model API?

Compare input support, JSON output, latency, output-token cost, and the quality of answers on your own image samples.

Can low-cost models handle vision tasks?

Some low-cost models can handle lightweight vision tasks, but document-heavy or high-accuracy workflows should be benchmarked carefully.