GPT-5.3 Codex vs Claude Opus 4.8 — Coding AI Pricing 2026
GPT-5.3 Codex is 65% cheaper on input and 44% cheaper on output than Claude Opus 4.8 — purpose-built for coding at a lower price.
Pricing data verified: Jun 10, 2026
Coding AI Models Compared
Coding-focused and general-purpose models from major providers, ranked by input price.
| Model | Provider | Tier | Input (per 1M) | Output (per 1M) | Context |
|---|---|---|---|---|---|
| GPT-5 | OpenAI | Budget | $2.50 | $10.00 | 272K |
| GPT-5.3 Codex | OpenAI | Mid | $1.75 | $14.00 | 400K |
| Claude Sonnet 4.6 | Anthropic | Budget | $3.00 | $15.00 | 200K |
| Gemini 3.1 Pro | Budget | $3.50 | $10.50 | 1M | |
| Claude Opus 4.8 | Anthropic | Premium | $5.00 | $25.00 | 1M |
| Gemini 3.5 Flash | Premium | $12.00 | $36.00 | 1M | |
| GPT-5.5 | OpenAI | Premium | $15.00 | $60.00 | 512K |
| GPT-5.5 Pro | OpenAI | Premium | $30.00 | $180.00 | 1.05M |
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Which Should You Choose?
Code Generation
Writing new functions, classes, and modules from prompts. GPT-5.3 Codex is purpose-built for this and costs 65% less on input.
Code Review
Analyzing pull requests, finding bugs, and suggesting improvements. Both models handle this well, but cost scales with volume.
Refactoring
Rewriting and restructuring existing code. Requires understanding large code chunks but not necessarily the entire codebase.
Documentation
Generating README files, API docs, and inline comments. High-volume, repetitive task where cost matters most.
Debugging
Finding and fixing errors in code. Requires reading error traces, understanding logic, and producing targeted fixes.
Enterprise Code Analysis
Reviewing entire codebases, cross-module analysis, and architecture decisions. Requires very large context windows.
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Frequently Asked Questions
Is GPT-5.3 Codex better than Claude Opus 4.8 for coding?
GPT-5.3 Codex is purpose-built for coding tasks and costs 65% less on input ($1.75 vs $5 per 1M tokens) and 44% less on output ($14 vs $25). For code generation, debugging, and refactoring, GPT-5.3 Codex typically delivers strong results at a significantly lower price. Claude Opus 4.8 offers a 2.5x larger context window (1M vs 400K) and may excel at complex multi-file reasoning or tasks requiring broad context. For most coding workflows, GPT-5.3 Codex provides better value.
How much can I save switching from Claude Sonnet to GPT-5.3 Codex for coding?
Claude Sonnet (Claude 4 Sonnet) costs $3 input / $15 output per 1M tokens. GPT-5.3 Codex costs $1.75 input / $14 output. That is a 42% saving on input and a 7% saving on output. At 5M input tokens and 2M output tokens per month, you would save $6.25 on input and $2 on output — totaling $8.25/month. At higher volumes the savings scale proportionally.
What is the context window difference between GPT-5.3 Codex and Claude Opus 4.8?
Claude Opus 4.8 has a 1 million token context window, while GPT-5.3 Codex supports 400K tokens. That makes Opus 4.8's context 2.5x larger. For most coding tasks — code generation, debugging, and refactoring of individual files or small modules — 400K is more than sufficient. However, if you need to analyze an entire large codebase in a single prompt, Opus 4.8's 1M context provides a meaningful advantage.
Can GPT-5.3 Codex handle complex enterprise codebases?
GPT-5.3 Codex handles most enterprise coding tasks well within its 400K context window, including code review, refactoring, documentation generation, and debugging. For enterprise workflows that require passing entire monorepos or very large files in a single request, Claude Opus 4.8's 1M context may be preferable. Many teams use both: GPT-5.3 Codex for routine coding tasks at lower cost, and Opus 4.8 for complex cross-file reasoning when the full context is needed.
What is the cheapest coding AI model in 2026?
GPT-5.3 Codex at $1.75 input / $14 output per 1M tokens is one of the cheapest premium coding-focused models. For comparison, Claude Opus 4.8 costs $5/$25, and Claude Sonnet 4.6 costs $3/$15. On the budget end, DeepSeek V4 Pro at $0.435/$0.87 and GPT-5 at $2.50/$10 offer lower prices but are not purpose-built for coding. GPT-5.3 Codex offers the best balance of coding-specific optimization and price.