Monthly Cost of an AI Social Media Content Assistant
Social posts are very short, so even high post volumes cost little on a small model.
Typical monthly workload
- Input tokens
- 2,500,000
- Output tokens
- 1,000,000
- Requests / day
- 900
Illustrative estimate. Adjust the sliders below to match your own volume.
Recommended setup
One call can produce several platform variants from a single brief, avoiding repeated context.
Monthly cost by model for this workload
| Model | Input / 1M | Output / 1M | Est. monthly cost |
|---|---|---|---|
| Gemini 1.5 Flash | $0.075 | $0.30 | $0.49 |
| DeepSeek V3 / V2.5 | $0.140 | $0.28 | $0.63 |
| GPT-4o Mini | $0.150 | $0.60 | $0.97 |
| Llama 3.3 70B (Groq/Together) | $0.590 | $0.79 | $2.26 |
| Claude 3.5 Haiku | $0.800 | $4.00 | $6.00 |
| o1-mini | $1.100 | $4.40 | $7.15 |
| Gemini 1.5 Pro | $1.250 | $5.00 | $8.13 |
| Mistral Large 2 | $2.000 | $6.00 | $11.00 |
| GPT-4o (Omni) | $2.500 | $10.00 | $16.25 |
| Claude 3.5 Sonnet | $3.000 | $15.00 | $22.50 |
| o1 (Reasoning) | $15.000 | $60.00 | $97.50 |
Computed from list prices and the workload above (2,500,000 input and 1,000,000 output tokens per month), with no caching or batch discounts. Real bills vary.
How to cut this cost
- Generate variants together
Ask for all platform versions in one JSON response instead of one call per platform.
- Reuse the brand voice prompt
Keep voice guidelines fixed and first in the prompt so they can be cached.
Simulate your own spend
Quick Workload Presets
Pick a ready-made scenario or customize your token volume below.
Token & Usage Parameters
By switching or routing background tasks from GPT-4o to Gemini 1.5 Flash, your team saves up to $2,270 annually.
Lowest cost per token, high-frequency tasks, real-time audio/video
State-of-the-art open economics, high-performance general intelligence
High-volume text processing, fast chatbots, classification
Open-weights privacy, self-hosting or ultra-cheap hosted inferencing
Rapid code completion, customer service, structured data extraction
Fast STEM reasoning, competitive programming at lower cost
Massive context (2M tokens), full video/audio analysis, large codebases
Multilingual tasks, European compliance, enterprise code generation
Complex multimodal reasoning, coding, and production apps
Software engineering, nuanced writing, complex agentic workflows
Advanced mathematics, algorithmic coding, PhD-level scientific logic
Frequently asked questions
How cheap can post generation get?
With a small model and short outputs, thousands of posts a month typically cost only a few dollars. Check the table above for exact figures per model.