Compare API pricing for 55 OpenAI models suited for coding: GPT-4o, o3, o1, GPT-4.1, and budget-friendly mini variants. See per-token costs, cost per coding request, context windows, and coding capabilities side by side.
Cost/Req = estimated cost per typical coding request (2,000 input + 1,000 output tokens). Prices via OpenRouter API.
GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs. Optimized for step-by-step reasoning, instruction following, and accuracy, GPT-5.4 Pro excels at agentic coding, long-context workflows, and multi-step problem solving.
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool use, and instruction following. It is designed as a strong default for both general-purpose tasks and software engineering, capable of generating production-quality code, synthesizing information across multiple sources, and executing complex multi-step workflows with fewer iterations and greater token efficiency.
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GPT-5.4 mini delivers reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.
GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like "think hard about this." Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks. Built for broad task coverage, GPT-5.2 delivers consistent gains across math, coding, sciende, and tool calling workloads, with more coherent long-form answers and improved tool-use reliability.
OpenAI coding models power many of the most popular AI development tools. Here is how they integrate with the leading coding assistants.
Uses GPT-4o and o3 as backend models for code completion, chat, and multi-file editing. OpenAI models are available via Cursor's Pro plan alongside Claude and other providers.
Best models for CursorBuilt on OpenAI models including GPT-4o and o3-mini. Copilot uses these models for inline suggestions, chat, and code review. Enterprise plans offer access to the latest reasoning models.
Anthropic's CLI coding agent uses Claude models natively, but OpenAI models serve as a useful comparison point. Many developers switch between Claude Code and OpenAI-powered tools depending on the task.
Open-source AI pair programming tool with native support for all OpenAI models. Aider's benchmarks show GPT-4o and o3 performing strongly on code editing tasks. Supports function calling for precise file modifications.
Estimated cost per coding request based on 2,000 input tokens (prompt + code context) and 1,000 output tokens (generated code). Sorted from cheapest to most expensive.
GPT-4o and GPT-4.1 are OpenAI's best general-purpose coding models. They support function calling, JSON mode, and multimodal input, making them ideal for code generation, debugging, refactoring, and code review. GPT-4.1 improves on instruction following and has better performance on complex coding tasks.
The o-series reasoning models use chain-of-thought to tackle complex algorithms, multi-step debugging, and architectural decisions. o3 is the latest and most capable, while o1 offers strong reasoning at a lower cost. These models are best for tasks requiring deep logical reasoning rather than simple code generation.
GPT-4o Mini offers coding capabilities at a fraction of the cost. While it scores lower on complex benchmarks, it handles straightforward code generation, autocompletion, and simple debugging efficiently. Ideal for high-volume use cases like CI/CD pipelines and automated code review.
The original Codex model (code-davinci-002) was deprecated in March 2023. All Codex capabilities have been absorbed into the GPT-4 family, which significantly outperforms the original Codex on every coding benchmark. Developers should use GPT-4o or GPT-4.1 as direct Codex replacements.
For most coding tasks, GPT-4o and GPT-4.1 offer the best balance of code quality and cost. For complex algorithmic or multi-step reasoning problems, o3 and o1 excel due to their chain-of-thought reasoning capabilities. GPT-4o Mini is ideal for high-volume code generation where cost efficiency is the priority.
The original OpenAI Codex model has been deprecated and replaced by the GPT-4 family. Current coding-capable models range from free (GPT-4o Mini in some tiers) to $60/M output tokens (o3-pro). A typical coding request (2,000 input + 1,000 output tokens) costs between $0.0003 and $0.06 depending on the model.
Yes. GPT-4o is one of the best models for coding. It supports function calling, JSON mode, and has strong performance on coding benchmarks like HumanEval and SWE-bench. It offers multimodal input (you can share screenshots of errors), a large context window, and competitive pricing for production coding workflows.
Both are excellent for coding. OpenAI's o3 and GPT-4.1 lead on certain benchmarks, while Anthropic's Claude 3.5 Sonnet and Claude 4 Opus excel in agentic coding tasks and long-context understanding. Claude tends to follow instructions more precisely, while OpenAI models often have broader tool ecosystem support. The best choice depends on your specific use case, budget, and tooling requirements.