Gemini 3.1 Pro vs GPT-5
Google vs OpenAI — GPT-5 is 37% cheaper on input and 17% cheaper on output, but Gemini 3.1 Pro has 3.7x more context.
Pricing data verified: Jun 11, 2026
| Specification | Gemini 3.1 Pro | GPT-5 |
|---|---|---|
| Input Price (per 1M tokens) | $2.00 | $1.25 |
| Output Price (per 1M tokens) | $12.00 | $10.00 |
| Context Window | 1M tokens | 272K tokens |
| Tier | Mid | Premium |
| Provider | OpenAI | |
| Cost at 1M input + 500K output | $8.00 | $6.25 |
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Which Model for Which Use Case?
Cost Optimization
GPT-5 at $1.25/M input is 37% cheaper than Gemini 3.1 Pro. For high-volume workloads within 272K context, GPT-5 delivers meaningful savings.
Long Context
Gemini 3.1 Pro's 1M context window is 3.7x larger than GPT-5's 272K. For processing long documents, legal files, or codebases, Gemini 3.1 Pro is the clear winner.
Code Generation
Both models are strong at code generation. Gemini 3.1 Pro excels at complex refactoring with its larger context. GPT-5 offers better value for straightforward coding tasks.
Enterprise Workloads
Gemini 3.1 Pro offers Google Cloud integration with 1M context for enterprise document processing. GPT-5 provides OpenAI's ecosystem with lower costs for standard workloads.
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Frequently Asked Questions
Is GPT-5 cheaper than Gemini 3.1 Pro?
Yes. GPT-5 costs $1.25/M input and $10.00/M output. Gemini 3.1 Pro costs $2.00/M input and $12.00/M output. GPT-5 is 37% cheaper on input and 17% cheaper on output. For 1M input + 500K output/month, GPT-5 costs $6.25 vs Gemini's $8.00 — saving $1.75/month (22%).
Which has a larger context window?
Gemini 3.1 Pro has a 1M token context window — 3.7x larger than GPT-5's 272K context. If you need to process long documents or maintain extensive conversation history, Gemini 3.1 Pro has a significant advantage.
When should I choose Gemini 3.1 Pro over GPT-5?
Choose Gemini 3.1 Pro when: (1) you need long context (1M vs 272K), (2) you want Google's ecosystem and GCP integration, (3) your workload involves large document processing. Choose GPT-5 when: (1) cost matters (17-37% cheaper), (2) your context fits within 272K, (3) you want OpenAI's ecosystem and tooling.
Are both models production-ready?
Both are production-ready. Gemini 3.1 Pro is Google's mid-tier model with 1M context and strong multimodal capabilities. GPT-5 is OpenAI's premium model offering excellent value at lower price points. Both handle enterprise workloads well.