GPT-5.3 Codex vs Claude Opus 4.6: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.3 Codex
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Anthropic
Claude Opus 4.6
Pricing (per 1M tokens)
Input$5.00
Output$25.00
Cached Input$0.5000
Batch Input$2.50
Batch Output$12.50
Context & Output
Context Window200K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5.3 Codex
65.0% cheaper
Cheaper Output Price
GPT-5.3 Codex
44.0% cheaper
Larger Context Window
GPT-5.3 Codex
+200K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.3 Codex
$15.75
$1.75/1M input + $14.00/1M output
Claude Opus 4.6
$30.00
$5.00/1M input + $25.00/1M output
GPT-5.3 Codex is 47.5% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.3 Codex or Claude Opus 4.6?
For input tokens, GPT-5.3 Codex is cheaper at $1.75 per 1M tokens. For output tokens, GPT-5.3 Codex is cheaper at $14.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.3 Codex vs Claude Opus 4.6?
GPT-5.3 Codex has a context window of 400K tokens, while Claude Opus 4.6 has 200K tokens. GPT-5.3 Codex supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
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