GPT-5.3 Codex vs Gemini 3.1 Pro: 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
Gemini 3.1 Pro
Pricing (per 1M tokens)
Input$2.00
Output$12.00
Cached Input$0.2000
Batch Input$1.00
Batch Output$6.00
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5.3 Codex
12.5% cheaper
Cheaper Output Price
Gemini 3.1 Pro
14.3% cheaper
Larger Context Window
Gemini 3.1 Pro
+600K 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
Gemini 3.1 Pro
$14.00
$2.00/1M input + $12.00/1M output
Gemini 3.1 Pro is 11.1% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.3 Codex or Gemini 3.1 Pro?
For input tokens, GPT-5.3 Codex is cheaper at $1.75 per 1M tokens. For output tokens, Gemini 3.1 Pro is cheaper at $12.00 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 Gemini 3.1 Pro?
GPT-5.3 Codex has a context window of 400K tokens, while Gemini 3.1 Pro has 1M tokens. Gemini 3.1 Pro supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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