Cheapest LLM for Coding
Compare AI model costs for code generation, debugging, and refactoring. Find the best price-performance ratio for your coding agent.
Inputs
Select a use case to pre-fill realistic token and request defaults, or choose Custom.
The model you are using in production today.
Average prompt size per API call — system prompt + context + user message. Typical: simple chat 500–2,000 · RAG chatbot 2,000–8,000 · document analysis 10,000–100,000 tokens.
Average response length. Short answer: 200–500 · paragraph: 500–1,000 · long-form: 1,000–4,000 tokens.
Total API calls per month. 1,000 DAU × 5 calls/day × 30 days = 150,000 requests/month.
Fraction of input tokens currently served from Prompt Cache. 0 = not using cache.
Decision Summary
Saves $2,952.56/yr (98.4%) with high engineering effort. See the ranked table below for all options.
Comparison
| Option | Monthly | Yearly |
|---|---|---|
| Best combo: DeepSeek V4 Flash + cache + batchMaximum possible savings: optimal model, 60% cache, batch API enabled.cheapest | $3.95 | $47.44 |
| Switch to GPT-5 NanoRun a representative quality evaluation against the current model before migrating traffic. | $8.92 | $107.04 |
| Switch to GPT-5 MiniRun a representative quality evaluation against the current model before migrating traffic. | $44.60 | $535.20 |
| Cache (60%) + Batch APIMaximum savings without changing models. | $111.50 | $1,338.00 |
| Switch to Claude Haiku 4.5Run a representative quality evaluation against the current model before migrating traffic. | $118.40 | $1,420.80 |
| Enable Batch API (50% discount)Use async batch endpoint. Suitable for offline / non-realtime workloads. | $125.00 | $1,500.00 |
| Enable Prompt Cache (60% hit)Fix system prompt at context start and reuse across requests. | $223.00 | $2,676.00 |
| Current baselineGPT-5, cache 0%, batch offcurrent | $250.00 | $3,000.00 |
Pricing sources
Last verified 2026-08-03 · developers.openai.com/api/docs/models/compare developers.openai.com/api/docs/models/compare · platform.claude.com/docs/en/about-claude/pricing platform.claude.com/docs/en/about-claude/pricing · ai.google.dev/gemini-api/docs/pricing ai.google.dev/gemini-api/docs/pricing · api-docs.deepseek.com/quick_start/pricing api-docs.deepseek.com/quick_start/pricing
Trends & comparison
Trend
Comparison (monthly vs. yearly)
Coding workload cost analysis
Code generation tasks use more tokens than conversational AI: 4,000 input tokens for context (file contents, instructions, examples) and 2,000 output tokens for generated code. At 10,000 requests/month this generates 40M input + 20M output tokens. Model quality matters significantly for coding — Arena Code Elo scores show 200+ point gaps between models.
Cost vs quality tradeoff for coding
Unlike customer support where cheap models often suffice, coding requires careful evaluation. A model that saves $200/month but produces code with 20% more bugs costs far more in developer review time. Use this calculator to find the cheapest model, then validate with your own codebase before switching.
Frequently asked questions
Which LLM is cheapest for code generation?▾
DeepSeek V4 Flash offers the best price-performance for coding at $0.14/$0.28 per million tokens with strong benchmark scores. GPT-5 Nano is cheaper but less capable. Claude Sonnet 5 and GPT-5.6 Luna offer premium quality at moderate cost.
How much does an AI coding agent cost?▾
At 10,000 requests/month with 4,000 input + 2,000 output tokens: GPT-5 costs ~$250/month, Claude Sonnet 5 ~$100, DeepSeek V4 Flash ~$10. Quality differences matter more for coding than most tasks.
Should I use the best model or cheapest for coding?▾
Coding is quality-sensitive. A cheaper model that generates buggy code costs more in developer time than the API savings. Consider a tiered approach: cheap model for boilerplate, premium model for complex logic.
Compare verified first-party API prices on the same standard workload → AI Model Price Leaderboard