Gemini 3.1 Pro vs GPT 5.3 Codex
Google's frontier model with a large leap in core reasoning.
OpenAI's most advanced agentic coding model with 400K context.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.1 Pro vs GPT 5.3 Codex▼
Which is better, Gemini 3.1 Pro or GPT 5.3 Codex?
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Based on the Capability Index, GPT 5.3 Codex scores higher (87.0 vs 86.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Gemini 3.1 Pro or GPT 5.3 Codex?
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Gemini 3.1 Pro has a lower blended cost. Gemini 3.1 Pro: $2.00 input / $12.00 output. GPT 5.3 Codex: $1.75 input / $14.00 output.
Which has a larger context window, Gemini 3.1 Pro or GPT 5.3 Codex?
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Gemini 3.1 Pro has a larger context window: Gemini 3.1 Pro supports 1M tokens vs GPT 5.3 Codex at 400K tokens.
Do both Gemini 3.1 Pro and GPT 5.3 Codex support vision?
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Yes, both Gemini 3.1 Pro and GPT 5.3 Codex support vision/image input.
Which has better coding performance, Gemini 3.1 Pro or GPT 5.3 Codex?
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Gemini 3.1 Pro scores higher on SWE-bench Verified: Gemini 3.1 Pro resolves 81% vs GPT 5.3 Codex at 75%.
What are the key differences between Gemini 3.1 Pro and GPT 5.3 Codex?
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Gemini 3.1 Pro and GPT 5.3 Codex have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
Which model should I choose for my use case?
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If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Gemini 3.1 Pro and GPT 5.3 Codex for free on idapt.app to see which performs better for your specific needs.