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api_cost_calculator.py FULL CODE

""" AI API Cost Calculator — DeepSeek vs Claude AiBytec.com | Updated March 2026 """# ── Pricing per 1M tokens (March 2026) ──────────────────────────PRICING = { "deepseek-v3.2": { "input": 0.28, "input_cached": 0.028, # 90% discount on cache hits "output": 0.42, }, "deepseek-r1": { "input": 0.50, "input_cached": 0.05, "output": 2.18, }, "claude-haiku-4-5": { "input": 0.25, "input_cached": 0.03, # prompt cache "output": 1.25, }, "claude-sonnet-4-6": { "input": 3.00, "input_cached": 0.30, # prompt cache "output": 15.00, }, "claude-opus-4-6": { "input": 5.00, "input_cached": 0.50, "output": 25.00, }, }def calculate_cost( model: str, daily_calls: int, avg_input_tokens: int, avg_output_tokens: int, cache_hit_rate: float = 0.0 # 0.0 to 1.0 ) -> dict: """ Calculate daily and monthly API costs for a given model.Args: model : Model key from PRICING dict daily_calls : Number of API calls per day avg_input_tokens: Average input tokens per call avg_output_tokens: Average output tokens per call cache_hit_rate : Fraction of input tokens served from cacheReturns: dict with daily_cost, monthly_cost, yearly_cost """ if model not in PRICING: raise ValueError(f"Unknown model: {model}")p = PRICING[model]# Split input into cached and non-cached cached_input = avg_input_tokens * cache_hit_rate standard_input = avg_input_tokens * (1 - cache_hit_rate)# Cost per call (divide by 1M to get per-token rate) cost_per_call = ( (standard_input * p["input"] / 1_000_000) + (cached_input * p["input_cached"] / 1_000_000) + (avg_output_tokens * p["output"] / 1_000_000) )daily = cost_per_call * daily_calls monthly = daily * 30 yearly = daily * 365return { "model": model, "daily_calls": daily_calls, "daily_cost": round(daily, 4), "monthly_cost": round(monthly, 2), "yearly_cost": round(yearly, 2), "cost_per_call": round(cost_per_call, 8), }def compare_models(daily_calls, avg_input, avg_output, cache_rate=0.0): """Print a full comparison table for all models.""" print(f"\nAPI Cost Comparison — {daily_calls:,} calls/day") print(f"Tokens per call: {avg_input} input + {avg_output} output") print(f"Cache hit rate: {cache_rate*100:.0f}%") print("=" * 60) print(f"{'Model':<22} {'Daily':>10} {'Monthly':>12} {'Yearly':>14}") print("-" * 60)for model in PRICING: result = calculate_cost( model, daily_calls, avg_input, avg_output, cache_rate ) print( f"{model:<22} " f"${result['daily_cost']:>9,.2f} " f"${result['monthly_cost']:>11,.2f} " f"${result['yearly_cost']:>13,.2f}" ) print("=" * 60)# ── Run your scenario ──────────────────────────────────────────── if __name__ == "__main__": # Scenario: Growing SaaS — 500K calls/day compare_models( daily_calls=500_000, avg_input=500, avg_output=500, cache_rate=0.0 )# Same scenario with 60% cache hit rate print("\nWith 60% cache hit rate:") compare_models( daily_calls=500_000, avg_input=500, avg_output=500, cache_rate=0.6 )

$ python api_cost_calculator.py

API Cost Comparison — 500,000 calls/day Tokens per call: 500 input + 500 output Cache hit rate: 0% ============================================================ Model Daily Monthly Yearly ------------------------------------------------------------ deepseek-v3.2 $87.50 $2,625.00 $31,937.50 deepseek-r1 $170.00 $5,100.00 $62,050.00 claude-haiku-4-5 $37.50 $1,125.00 $13,687.50 claude-sonnet-4-6 $450.00 $13,500.00 $164,250.00 claude-opus-4-6 $750.00 $22,500.00 $273,750.00 ============================================================

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