GPT-4o vs Claude vs Gemini vs DeepSeek: The True Cost of Every AI Query
API list prices differ sharply by provider and tier. Most teams overspend by using a frontier model for tasks a smaller model handles. Understanding token economics is the first step to optimizing AI costs.
Ready to run the numbers?
Why: Published API rates differ widely by provider; most teams overspend by using a frontier model for tasks a cheaper tier could handle. Understanding token economics is the first step to optimizing AI costs.
How: We multiply your prompt and response tokens by each model's per-million-token rate, factor in task-type adjustments and cache hit rates, then project daily, monthly, and annual costs. A side-by-side model comparison reveals exactly where savings are hiding.
Run the calculator when you are ready.
Task & Model
Cost per Task Across Models
Monthly Cost Projection (12 Months)
Input vs Output Token Cost Split
📐 Calculation Breakdown
For educational and informational purposes only. Verify with a qualified professional.
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CalculateHow much does each AI task cost?
Illustrative rows (March 2026): GPT-4o-class ~$2.50/$10 per million tokens; DeepSeek V3 ~$0.14/$0.56 — always verify vendor pricing. Token caching can slash input costs by up to 90%. This calculator estimates cost per task and annual projections with human-equivalent comparison.
Key Takeaways
- • DeepSeek V3 is often much cheaper per million input tokens than frontier APIs — verify current $/M on DeepSeek
- • Token caching can reduce input costs by up to 90% for repeated prompts
- • Output tokens cost more per token than input on most APIs
- • At $35/hr, a 3-min human task costs ~$1.75; token fees for many tasks are far lower before human review
- • Image generation has per-image fees (~$0.04) on top of token costs
Did You Know
📖 How AI Token Cost Calculation Works
Cost = (effective prompt tokens × input price) + (effective response tokens × output price), divided by 1 million. Task-type multipliers adjust token counts for real-world usage.
Step 1: Effective Tokens
Multiply prompt and response tokens by task-type multipliers (e.g., Code gen: 1.5× prompt, 2× response).
Step 2: Cost per Task
Cost = (effective prompt × input $/1M) + (effective response × output $/1M) + image addon if applicable.
Step 3: Daily/Annual Projection
Daily = tasks × cost × (1 − cache hit rate). Monthly = daily × 22 workdays. Annual = monthly × 12.
Expert Tips
💡 Cache Optimization
Use system prompts and repeated instructions to maximize cache hits. 50% cache can halve input costs.
💡 Model Selection
Use DeepSeek for high-volume, low-complexity tasks. Reserve GPT-4o-class for tasks requiring top-tier quality.
💡 Batch Processing
Batch similar requests to improve cache hit rates and reduce per-request overhead.
💡 Monitoring
Track token usage by task type and model. Set alerts for unexpected cost spikes.
⚖️ Model Pricing Comparison
| Model | Input ($/1M) | Output ($/1M) | Notes |
|---|---|---|---|
| GPT-4o-class | $2.50 | $10.00 | Frontier API tier (illustrative) |
| Claude Sonnet-class | $3.00 | $15.00 | Strong reasoning |
| Gemini Pro-class | $2.00 | $12.00 | Google API tier (illustrative) |
| DeepSeek V3 | $0.14 | $0.56 | Budget API (illustrative) |
| Grok (xAI) | $3.00 | $0.20 | Asymmetric list pricing (illustrative) |
| Llama (self-hosted) | $0 | $0 | Electricity only ~$1/1M |
❓ Frequently Asked Questions
How are AI token costs calculated?
AI models charge per token (roughly 4 characters). Input tokens (your prompt) and output tokens (the response) have different prices. Cost = (input_tokens × input_price_per_M) + (output_tokens × output_price_per_M), divided by 1 million.
Which AI model is the cheapest?
Among listed APIs, DeepSeek V3 is typically the lowest $/million (illustrative rows: ~$0.14/M in, ~$0.56/M out — verify platform.deepseek.com). Frontier “GPT-4o-class” APIs are often ~$2.50/M in and ~$10/M out — an order-of-magnitude gap. Self-hosted Llama pays mainly electricity.
What is token caching and how does it save money?
Token caching stores frequently used prompt prefixes so you don't pay for them again. With a 50% cache hit rate, you effectively halve your input token costs. System prompts and repeated instructions benefit most.
How many tokens is a typical AI task?
A short email draft uses ~200-500 tokens. Code generation uses 500-3000 tokens. A research report can use 2000-10000 tokens. Image prompts are short (~100 tokens) but have additional per-image fees.
How does AI task cost compare to human labor?
At $35/hour (benchmark rate), a human completing a 3-minute task costs ~$1.75. A similar workload via a frontier API (e.g. GPT-4o-class rates in this tool) is often well under $1 in token fees — but quality, retries, and review time matter.
What hidden costs should I consider?
Rate limits may require higher-tier API plans ($20-200/month). Failed requests still consume tokens. Retry logic can double costs. Context window overflow forces prompt truncation, reducing quality.
📊 AI Cost by the Numbers
📚 Sources
⚠️ Disclaimer: AI model pricing changes frequently. The rates in this calculator are estimates based on March 2026 data. Always verify current pricing with each provider before making decisions.
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