How Much Does It Cost to Generate & Review Python Code with AI?
Python code reviews typically involve passing entire files (1,500-3,000 tokens of input) and generating small diff patches (200-500 tokens of output).
Typical monthly workload
- Input tokens
- 3,000,000
- Output tokens
- 1,200,000
- Requests / day
- 500
Illustrative estimate. Adjust the sliders below to match your own volume.
Recommended setup
Run standard function completion and unit tests through DeepSeek V3 ($0.14/M); reserve Claude Sonnet for multi-file architectural refactoring.
Monthly cost by model for this workload
| Model | Input / 1M | Output / 1M | Est. monthly cost |
|---|---|---|---|
| Gemini 1.5 Flash | $0.075 | $0.30 | $0.58 |
| DeepSeek V3 / V2.5 | $0.140 | $0.28 | $0.76 |
| GPT-4o Mini | $0.150 | $0.60 | $1.17 |
| Llama 3.3 70B (Groq/Together) | $0.590 | $0.79 | $2.72 |
| Claude 3.5 Haiku | $0.800 | $4.00 | $7.20 |
| o1-mini | $1.100 | $4.40 | $8.58 |
| Gemini 1.5 Pro | $1.250 | $5.00 | $9.75 |
| Mistral Large 2 | $2.000 | $6.00 | $13.20 |
| GPT-4o (Omni) | $2.500 | $10.00 | $19.50 |
| Claude 3.5 Sonnet | $3.000 | $15.00 | $27.00 |
| o1 (Reasoning) | $15.000 | $60.00 | $117.00 |
Computed from list prices and the workload above (3,000,000 input and 1,200,000 output tokens per month), with no caching or batch discounts. Real bills vary.
How to cut this cost
- Strip Docstrings and Comments on Re-submission
When sending code for iterative refactoring, remove unchanging boilerplate to reduce token counts by 25%.
- Use Prompt Caching for Repository Schemas
Enable Anthropic prompt caching on your project guidelines to get a 90% discount on repeated context tokens.
Simulate your own spend
Quick Workload Presets
Pick a ready-made scenario or customize your token volume below.
Token & Usage Parameters
By switching or routing background tasks from GPT-4o to Gemini 1.5 Flash, your team saves up to $2,270 annually.
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Frequently asked questions
What is the cheapest API for Python code generation?
DeepSeek V3 ($0.14/1M input) and Qwen 2.5 Coder offer state-of-the-art Python coding benchmarks at less than 5% of the cost of standard flagship APIs.