Pricing Snapshot
Estimated monthly cost for a typical workload: 1,000 input + 500 output tokens × 100 req/day
| # | Model | Provider | Est. Monthly Cost |
|---|---|---|---|
| 1 | Mistral Nemo | Mistral | $0.120 |
| 2 | Amazon Nova Micro | Amazon | $0.315 |
| 3 | Mistral Small 3.2 | Mistral | $0.450 |
| 4 | Amazon Nova Lite | Amazon | $0.540 |
| 5 | Gemini 1.5 Flash | $0.675 | |
| 6 | GPT-5 Nano | OpenAI | $0.750 |
| 7 | Llama 3.1 8B | Meta | $0.810 |
| 8 | GPT-4.1 Nano | OpenAI | $0.900 |
Based on 1K input + 500 output tokens per request, 100 requests/day, 30-day month. Customize in the full calculator
How It Works
Three steps to find the most cost-effective AI model for your project.
Choose your use case
Select the AI models you want to compare, from simple chatbots to complex reasoning pipelines.
Set your volume
Enter your expected input/output token counts and daily request volume to model real-world usage.
Compare prices
See a clear side-by-side cost breakdown so you can pick the best model for your budget.
Providers Covered
Pricing data sourced directly from official documentation and verified monthly.
Understanding AI API Pricing in 2026
The AI API landscape has evolved rapidly. In 2024, pricing for frontier models like GPT-4 and Claude 3 Opus sat at $30–$60 per million output tokens. By early 2026, competition from Google Gemini, DeepSeek, Meta Llama 4, and Mistral has driven prices down dramatically — budget-tier models now cost under $0.50 per million output tokens, and even flagship reasoning models like o3 and Gemini 2.5 Pro are accessible at single-digit dollar rates.
Choosing the right model requires balancing cost against quality, latency, and feature support. A chatbot handling millions of short messages needs a different model than a coding assistant working with long context windows. Batch processing can cut costs by 50% for non-real-time workloads, and prompt caching further reduces input token costs for providers that support it.
Our calculator helps developers, product managers, and CTOs make data-driven decisions. Enter your expected token usage and daily request volume, and compare monthly costs across every major provider — including batch and cache pricing where available. All pricing data is sourced directly from official documentation and verified on a rolling basis so you always see the latest numbers.