Compare vision-capable model APIs for image understanding, document screenshots, multimodal support workflows, and cost-sensitive routing.
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.
Source basis: NextModel capability mapping and OpenRouter input-modality metadata when available.
Fit score
Start with the shortlist, then test real prompts and compare monthly cost before production routing.
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...
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...
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...
Doubao Seed 2.0 Mini is the lowest-cost production model currently exposed through the NextModel public gateway. It is a practical default for Chinese Q&A, classification, summarization, and lightweight multimodal tasks.
Comparison table
This table is designed for search visitors and developer teams who need a practical decision view, not a generic list of model names.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7 | Anthropic | $5 / 1M tokens | $25 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | frontier reasoning, large codebase review | 2300-6800ms | Catalog | OpenRouter if available |
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | Anthropic | $3 / 1M tokens | $15 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | coding agents, code review | 1600-4800ms | Catalog | OpenRouter if available |
| Google: Gemini 2.5 Progoogle/gemini-2.5-pro | $1.25 / 1M tokens | $10 / 1M tokens | 1M | Tool callingVisionJSON modeLong context | long-context analysis, vision workflows | 1500-5000ms | Catalog | OpenRouter if available | |
| Doubao Seed 2.0 Minidoubao-seed-2-0-mini | Volcengine | ¥0.2 / 1M tokens | ¥2 / 1M tokens | 128k | Tool callingVisionJSON modeLong context | Chinese Q&A, low-cost general chat | 900-2600ms | Production | Platform curated |
| Google: Gemini 2.5 Flashgoogle/gemini-2.5-flash | $0.3 / 1M tokens | $2.50 / 1M tokens | 1M | Tool callingVisionJSON modeLong context | long-document summarization, image Q&A | 900-2800ms | Catalog | OpenRouter if available | |
| OpenAI: GPT-4o-miniopenai/gpt-4o-mini | OpenRouter | $0.15 / 1M tokens | $0.6 / 1M tokens | 128k | Tool callingVisionJSON modeLong context | low-cost chat, image understanding | 800-2400ms | Catalog | OpenRouter if available |
| MoonshotAI: Kimi K2.6moonshotai/kimi-k2.6 | Moonshot AI | $0.73 / 1M tokens | $3.49 / 1M tokens | 262.1k | JSON modeLong contextStreamingTool calling | long Chinese documents, contract review | 1400-4400ms | Catalog | OpenRouter if available |
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | Meta | $0.15 / 1M tokens | $0.6 / 1M tokens | 1M | JSON modeLong contextStreamingLow cost | open-model workflows, cost-sensitive long context | 950-2800ms | Catalog | OpenRouter if available |
FAQ
Compare input support, JSON output, latency, output-token cost, and the quality of answers on your own image samples.
Some low-cost models can handle lightweight vision tasks, but document-heavy or high-accuracy workflows should be benchmarked carefully.