Vision API Cost Calculator
Compare image processing costs across every major multimodal AI model instantly.
Configure image workload
765 image tokens × 1 image + 200 overhead
Monthly cost comparison
Cheapest Model
AWS Bedrock Nova Lite
$0.6495
per month
Most Expensive
Anthropic Claude Opus 4.6
$184.88
per month
Potential Savings
$184.23
by switching to cheapest
Building a vision AI or multimodal product?
We design and develop AI applications with image understanding, document extraction, and visual intelligence.
All Vision Models — Sorted by Monthly Cost
| Provider | Model | Per Request | Monthly Cost↑ |
|---|---|---|---|
| CHEAPESTAWS Bedrock | Nova Lite | $0.000130 | $0.6495 |
| Gemini Flash-Lite | $0.000162 | $0.8119 | |
| Gemini Flash | $0.000217 | $1.08 | |
| OpenAI | GPT-4o mini | $0.000325 | $1.62 |
| AWS Bedrock | Claude Haiku 3 | $0.000616 | $3.08 |
| AWS Bedrock | Nova Pro | $0.001732 | $8.66 |
| Anthropic | Claude Haiku 4.5 | $0.002465 | $12.33 |
| OpenAI | GPT-5 | $0.004206 | $21.03 |
| OpenAI | GPT-4o | $0.005412 | $27.06 |
| Gemini Pro | $0.005530 | $27.65 | |
| Anthropic | Claude Sonnet 4.6 | $0.007395 | $36.98 |
| AWS Bedrock | Claude Sonnet 3.5 | $0.007395 | $36.98 |
| Anthropic | Claude Opus 4.6 | $0.0370 | $184.88 |
* Image token estimates based on OpenAI tile-based pricing model. Actual costs may vary by provider. Prices as of March 2026.
Vision API Cost — FAQ
OpenAI uses a tile-based system: each 512×512 tile costs ~170 tokens in high-detail mode, plus an 85-token base fee. A 1024×1024 image in high detail = 4 tiles × 170 + 85 = 765 tokens. Low-detail mode always costs 85 tokens regardless of size.
For high-volume image processing, Google Gemini Flash-Lite ($0.075/$0.30 per 1M tokens) is typically the cheapest vision model. AWS Bedrock Nova Lite is also very competitive. For highest accuracy, GPT-4o or Claude Sonnet are preferred despite higher cost.
Yes. Most providers allow multiple images per request. Costs scale linearly with image count. Batching images into a single request saves on per-call overhead and can improve throughput.
GPT-4o, Claude, and Gemini all support JPEG, PNG, GIF, and WebP. Maximum image sizes vary: GPT-4o supports up to 20MB, Claude up to 5MB per image. Always compress images before sending to reduce token count and cost.
Yes, because images are converted to tokens which can be substantial (255–1,445 tokens per image). A single high-detail image can cost as much as a 1,000-token text message. For bulk image processing, always use low-detail mode when full detail is not needed.
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