gpt-40-mini OpenAI
💰 Total Cost Calculation
Output: $0.012500 (rounded ~ 0.01)
Output: $0.012500 (rounded ~ 0.01)
Unit: $0.000000
Fees: $0.050000
Advanced Cost Breakdown
Detailed Cost Analysis
For 2,500 input tokens and 500 output tokens:
- Input Cost: $0.012500 (rounded ~ 0.01)
- Output Cost: $0.012500 (rounded ~ 0.01)
- Service Fees: $0.050000
- Total Cost: $0.075000 (rounded ~ 0.08)
- Cost per 1K tokens: $0.025000 (rounded ~ 0.03)
- Tokens per dollar: 40,000 tokens
- Context Window: 400000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 200ms time to first token:
- Processing Time: 6.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 476 tokens/second (temperature-adjusted)
Best Use Cases
claude-haiku-3.5 Anthropic 1000000
💰 Total Cost Calculation
Output: $0.012500 (rounded ~ 0.01)
Output: $0.012500 (rounded ~ 0.01)
Unit: $0.000000
Fees: $0.050000
Advanced Cost Breakdown
Detailed Cost Analysis
For 2,500 input tokens and 500 output tokens:
- Input Cost: $0.012500 (rounded ~ 0.01)
- Output Cost: $0.012500 (rounded ~ 0.01)
- Service Fees: $0.050000
- Total Cost: $0.075000 (rounded ~ 0.08)
- Cost per 1K tokens: $0.025000 (rounded ~ 0.03)
- Tokens per dollar: 40,000 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 200ms time to first token:
- Processing Time: 6.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 476 tokens/second (temperature-adjusted)
Best Use Cases
Unit Economics of Automated Tier-1 Support
Detailed cost breakdown for running 10,000 high-accuracy customer support sessions using mini-model architectures. This calculator focuses on the extreme cost efficiency of ‘Mini’ tier models for high-volume, low-latency conversational tasks.
Support Metrics & Volume
- Session Volume: 10,000 independent customer interactions
- Average Context: 2,500 tokens per session (history + knowledge base)
- Total Input: 25,000,000 tokens (including system prompts)
- Total Output: 5,000,000 tokens of helpful responses
- Target Latency: <200ms for seamless user experience
- Batch Processing: Not applicable (Real-time required)
- Tool Usage: High (CRM integration, order tracking)
Customer Experience & Operational Value
Scaling global support without increasing headcount, 24/7 multilingual assistance, and instant resolution of order/billing inquiries. Benchmarks GPT-4o Mini vs Claude Haiku 3.5 for high-volume cost-efficiency.