AI Cost Calculator

Enter your usage and instantly compare monthly costs across 23 AI models. Find the cheapest option for your workload.

Cost Calculator

Cheapest

$17.00/mo

Gemini 2.0 Flash

Best Value

$28.00/mo

Llama 4 Maverick (quality >= 80)

Most Expensive

$3.0K/mo

Claude Opus 4

Save 30-60% with smart model routing

Swfte Connect automatically routes each request to the optimal model based on complexity, reducing costs without sacrificing quality.

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All Models — Estimated Monthly Cost

Gemini 2.0 Flash
$17.00/mo
Llama 4 Scout
$19.50/mo
Qwen 2.5 Coder 32B
$21.00/mo
GPT-4o Mini
$25.50/mo
Llama 4 Maverick
$28.00/mo
Grok 3 Mini
$30.00/mo
Codestral
$42.00/mo
Qwen 2.5 72B
$42.00/mo
DeepSeek V3
$46.50/mo
DeepSeek R1
$93.20/mo
Amazon Nova Pro
$136.00/mo
Claude 3.5 Haiku
$160.00/mo
o3 Mini
$187.00/mo
Mistral Large 2
$280.00/mo
GPT-4.1
$340.00/mo
Gemini 2.5 Pro
$362.50/mo
GPT-4o
$425.00/mo
Command R+
$425.00/mo
Claude Sonnet 4
$600.00/mo
Grok 3
$600.00/mo
Sonar Pro
$600.00/mo
o3
$1.7K/mo
Claude Opus 4
$3.0K/mo

How AI API Pricing Works

AI model providers charge based on tokens — the basic unit of text processing. One token is roughly 4 characters or ¾ of a word. Most providers charge separately for input tokens (your prompt) and output tokens (the model's response), with output tokens typically costing 2-5x more than input tokens.

Typical Usage Patterns

  • Chatbot (customer support): ~500 input tokens, ~300 output tokens per message, 50K-500K messages/month
  • Code generation: ~1,000 input tokens, ~500 output tokens per request, 10K-100K requests/month
  • Document analysis: ~2,000 input tokens, ~200 output tokens per document, 5K-50K documents/month
  • Content generation: ~300 input tokens, ~1,000 output tokens per piece, 1K-20K pieces/month

Cost Optimization Strategies

The most impactful strategy is intelligent model routing. Rather than sending every request to a premium model, analyze the complexity of each request and route simple ones to cheaper, faster models. Swfte Connect does this automatically, typically reducing API costs by 30-60%.

Other strategies include: using cached input pricing (available from Google and DeepSeek), optimizing prompts to reduce token usage, batching API calls, and self-hosting open-source models for predictable, high-volume workloads.

Comparing Providers

See our full pricing index for a comprehensive comparison of all providers, including historical pricing trends. Or check the model leaderboard to understand the quality vs. cost tradeoffs.