AI Coding Model Pricing Comparison 2026
Compare 33 AI models from 6 providers. See exactly how much each model costs for your coding projects — from small scripts to large codebases.
Provider Showdowns
Which AI provider gives you the best value for coding? Head-to-head ecosystem comparisons.
Anthropic vs OpenAI
7 vs 10 models compared across all scenarios
See winner →Anthropic vs Google
7 vs 5 models compared across all scenarios
See winner →OpenAI vs Google
10 vs 5 models compared across all scenarios
See winner →Anthropic vs DeepSeek
7 vs 3 models compared across all scenarios
See winner →OpenAI vs DeepSeek
10 vs 3 models compared across all scenarios
See winner →Google vs DeepSeek
5 vs 3 models compared across all scenarios
See winner →Compare Top AI Models by Cost
All prices per million tokens. Click any model for detailed cost estimates across common coding scenarios.
| Model | Provider | Input ($/M) | Output ($/M) | Cache Read ($/M) | Small Script | Medium Feature | Large Project |
|---|---|---|---|---|---|---|---|
| Claude Sonnet 4 | Anthropic | $3.00 | $15.00 | $0.300 | $0.62 | $4.66 | $23.29 |
| Claude Opus 4 | Anthropic | $15.00 | $75.00 | $1.50 | $3.08 | $23.29 | $116.44 |
| Claude 3.5 Sonnet | Anthropic | $3.00 | $15.00 | $0.300 | $0.62 | $4.66 | $23.29 |
| Claude 3.5 Haiku | Anthropic | $0.800 | $4.00 | $0.080 | $0.16 | $1.24 | $6.21 |
| Claude 3 Opus | Anthropic | $15.00 | $75.00 | — | $2.77 | $20.25 | $101.25 |
| Claude 3 Sonnet | Anthropic | $3.00 | $15.00 | — | $0.55 | $4.05 | $20.25 |
| Claude 3 Haiku | Anthropic | $0.250 | $1.25 | — | $0.05 | $0.34 | $1.69 |
| GPT-4o | OpenAI | $2.50 | $10.00 | $1.25 | $0.41 | $3.06 | $15.31 |
| GPT-4o mini | OpenAI | $0.150 | $0.600 | $0.075 | $0.02 | $0.18 | $0.92 |
| GPT-4 Turbo | OpenAI | $10.00 | $30.00 | — | $1.25 | $9.50 | $47.50 |
| GPT-4 | OpenAI | $30.00 | $60.00 | — | $2.85 | $22.50 | $112.50 |
| GPT-3.5 Turbo | OpenAI | $0.500 | $1.50 | — | $0.06 | $0.48 | $2.38 |
| Gemini 2.5 Pro | $1.25 | $10.00 | — | $0.34 | $2.44 | $12.19 | |
| Gemini 2.5 Flash | $0.150 | $0.600 | — | $0.02 | $0.17 | $0.86 | |
| Gemini 2.0 Flash | $0.100 | $0.400 | — | $0.02 | $0.12 | $0.58 | |
| Gemini 1.5 Pro | $1.25 | $5.00 | — | $0.19 | $1.44 | $7.19 | |
| Gemini 1.5 Flash | $0.075 | $0.300 | — | $0.01 | $0.09 | $0.43 | |
| Qwen 3.6 Plus | Qwen | $3.00 | $15.00 | $0.300 | $0.62 | $4.66 | $23.29 |
| Qwen Max | Qwen | $3.00 | $15.00 | — | $0.55 | $4.05 | $20.25 |
| Qwen Plus | Qwen | $0.800 | $4.00 | — | $0.15 | $1.08 | $5.40 |
| Qwen Turbo | Qwen | $0.250 | $1.25 | — | $0.05 | $0.34 | $1.69 |
| DeepSeek Chat V3 | DeepSeek | $0.270 | $1.10 | — | $0.04 | $0.31 | $1.57 |
| Mistral Large 2 | Mistral | $2.00 | $6.00 | — | $0.25 | $1.90 | $9.50 |
| Mistral Small 3 | Mistral | $0.100 | $0.300 | — | $0.01 | $0.10 | $0.47 |
Most Cost-Effective Models
Lowest input token prices — best for high-volume tasks and budget projects.
Gemini 1.5 Flash
GoogleCheapest Gemini model. Good for high-volume, simple tasks.
Gemini 2.0 Flash
GoogleCheapest Google model. Fast responses for simple coding tasks.
Mistral Small 3
MistralMistral's cost-effective model. Very affordable for general-purpose tasks.
GPT-4o mini
OpenAIAffordable small model. Fast and cost-effective for high-volume coding tasks.
Gemini 2.5 Flash
GoogleFast and affordable Google model. Great for high-volume coding and processing.
AI Coding Platforms
Popular tools and IDEs that use AI models for coding. See which models they support and how much they cost.
Cursor
AI-first code editor built on VS Code. Supports multiple models including Claude and GPT-4.
GitHub Copilot
AI pair programmer by GitHub and OpenAI. Integrated into VS Code, JetBrains, and Neovim.
Claude Code
Anthropic's official CLI tool for coding with Claude. Terminal-based AI coding assistant.
Aider
AI pair programming in your terminal. Supports many models via API.
Cline
Autonomous coding agent in VS Code. Can create/edit files, run commands, and use browser.
Roo Code
Open-source AI coding assistant forked from Cline. Supports multiple API providers.
Continue
Open-source AI code assistant for VS Code and JetBrains. Bring your own model.
OpenAI Codex CLI
OpenAI's CLI tool for AI-assisted coding. Uses OpenAI's o-series models.
Open Interpreter
Natural language code execution on your computer. Runs code locally.
Browse by Category
General-Purpose AI Models
Versatile AI models that excel across coding, writing, analysis, and more. Best all-rounders for developers.
24 modelsAI Coding Models
Models specifically optimized for code generation, debugging, refactoring, and software development tasks.
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The most cost-effective AI models. Under $1/million input tokens. Best for high-volume tasks and cost optimization.
17 modelsAI Reasoning Models
Models optimized for chain-of-thought reasoning, complex problem-solving, math, and advanced coding challenges.
6 modelsEnterprise AI Models
High-performance models designed for production use, with advanced capabilities and reliability.
8 modelsBest AI Tools For Your Use Case
Find the right model for your specific needs — ranked and priced.
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18 models rankedState of AI Coding Costs 2026
Our comprehensive report analyzing pricing across all providers and models.
State of AI Coding Costs 2026 — Full Report
Complete analysis of 33 models from 6 providers. Includes cheapest-per-scenario breakdowns, provider comparisons, and key insights for developers and startups.
Read the full report →AI API Budget Planner
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Plan Your AI API Budget →
See exactly how many API calls you can afford, which models fit your budget, and share your plan with your team.
Open Budget Planner →Frequently Asked Questions
How much does AI coding cost?
AI coding costs range from $0.075/M tokens (Gemini 1.5 Flash) to $30.00/M tokens (GPT-4). A typical small script (1K lines) costs between $0.01 and $2.85 depending on the model.
Which AI model is cheapest for coding?
The cheapest model is Gemini 1.5 Flash at $0.075/M input tokens. For coding-specific tasks, Qwen Coder Turbo offers the best price-performance among coding-optimized models.
What is prompt caching and why does it matter?
Prompt caching lets you reuse previously processed context at a fraction of the cost. Models with caching (like Claude) can save 80-90% on repeated context. For a project with 70% cache hit rate, effective input costs drop significantly.
How do you calculate estimated costs?
We estimate based on typical token usage for each scenario: input tokens (reading existing code + your prompt), output tokens (generated code), and cache tokens (reused context). Actual costs vary by project complexity and code quality.