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The Image Resolution to AI Tokens Converter estimates how many tokens a given image will consume when sent to vision-capable AI models (GPT-4o, GPT-4 Vision, Claude 3.x, Gemini 1.5). Token cost = base tokens + tile tokens × tiles used. Helps developers budget API spend before building image-heavy features.
Formel
Tokens ≈ 85 base + 170 × ⌈width/512⌉ × ⌈height/512⌉ (GPT-4o high-detail)
- W
- Width (px) — Image width
Steg-för-steg-guide
- 1Enter image width and height in pixels
- 2Select target AI model (each has different tile algorithm)
- 3Select detail level (low/high for OpenAI)
- 4Calculator outputs tokens, tiles, and cost per image / 1K / 10K
Lösta exempel
Ingång
1024×1024 GPT-4o high
Resultat
~765 tokens, 4 tiles, ~$0.004 per image
Ingång
2048×2048 Claude 3
Resultat
~1600 tokens, ~$0.005 per image
Vanliga misstag att undvika
- ✕Forgetting that low-detail mode is much cheaper for thumbnails
- ✕Not capping image resolution before upload
Vanliga frågor
Should I always downscale?
Yes — most vision tasks don't need full resolution. Resize to 1024×1024 max for ~10× cost reduction with minimal quality loss for most use cases.
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