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Social Media Captions

Platform-specific content for every post

Take a product photo, campaign brief, or article URL and generate platform-optimized captions for Instagram, LinkedIn, Twitter/X, and TikTok — each calibrated to the right tone, length, hashtag density, and call-to-action for the channel.

Content CreationBeginner
RecommendedOpenAI

GPT-6 Luna

Input / 1M$0.10
Output / 1M$0.50
Context1M
Speed97/100
Coding score
86
Reasoning score
87
Estimated monthly cost

for 200K tokens a month · 35% input / 65% output

$0.07

Why this model

For this workload — 200K tokens a month, 35% of them input — it comes to about $0.07 a month, the lowest of the models suggested here.

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Implementation tips

  1. 1

    Define platform constraints explicitly in your prompt: character limits, hashtag counts, CTA format, and emoji usage — the model respects hard constraints better than vague style guidance.

  2. 2

    Use a two-step pipeline: first extract 3–5 'content angles' from the source material, then generate captions for each angle — this gives marketers options to A/B test rather than one output.

  3. 3

    Batch generate 30 days of captions in a single API call using structured JSON output — far more efficient than one-at-a-time and enables bulk scheduling tool integration.

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