GPT-4o vs Gemini 3.1 Pro
OpenAI vs Google mid-tier — a true split decision: Gemini is 20% cheaper on input but 20% more expensive on output. Gemini has 7.8x more context.
Pricing data verified: Jun 10, 2026
| Specification | GPT-4o | Gemini 3.1 Pro |
|---|---|---|
| Input Price (per 1M tokens) | $2.50 | $2.00 |
| Output Price (per 1M tokens) | $10.00 | $12.00 |
| Context Window | 128K tokens | 1M tokens |
| Tier | Mid | Mid |
| Provider | OpenAI | |
| Input Savings | Baseline | 20% cheaper |
| Output Savings | 17% cheaper | Baseline |
| Cost at 1M input + 500K output | $7.50 | $8.00 |
Calculate Your Exact Costs
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Which Model for Which Use Case?
Output-Heavy Workloads
GPT-4o is 17% cheaper on output tokens — ideal for content generation, long-form writing, and code generation where the model produces more than it consumes. At $10.00/M output, it's the better value for generation tasks.
Input-Heavy RAG Pipelines
Gemini 3.1 Pro is 20% cheaper on input tokens — perfect for RAG pipelines, document analysis, and search-augmented generation where large context windows are processed. At $2.00/M input, it's the better value for retrieval tasks.
Long-Context Processing
Gemini 3.1 Pro's 1M context window is 7.8x larger than GPT-4o's 128K. For processing lengthy documents, maintaining large conversation histories, or handling complex multi-turn workflows, Gemini gives you significantly more room.
Multimodal & Vision
Both models excel at multimodal tasks. GPT-4o is OpenAI's multimodal flagship with strong vision capabilities. Gemini 3.1 Pro also supports images, video, and audio. For pure vision tasks, GPT-4o has a slight edge in benchmarks.
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Frequently Asked Questions
Is GPT-4o or Gemini 3.1 Pro cheaper?
It depends on your output volume. Gemini 3.1 Pro costs $2.00/M input (20% cheaper than GPT-4o's $2.50) but $12.00/M output (20% more expensive than GPT-4o's $10.00). For input-heavy workloads, Gemini wins. For output-heavy workloads, GPT-4o wins. At 1M input + 500K output, they cost the same (~$8.00). Use our calculator above to find the break-even point for your specific usage.
Which has a larger context window, GPT-4o or Gemini 3.1 Pro?
Gemini 3.1 Pro has a 1M token context window, which is 7.8x larger than GPT-4o's 128K context. If you need to process long documents or maintain extensive conversation histories, Gemini offers significantly more room. For typical workloads under 128K tokens, both models are equally capable.
When should I choose GPT-4o over Gemini 3.1 Pro?
Choose GPT-4o when: (1) your workload is output-heavy (GPT-4o is 17% cheaper on output), (2) you need best-in-class vision capabilities, (3) you want OpenAI's ecosystem and integrations. Choose Gemini 3.1 Pro when: (1) your workload is input-heavy (20% cheaper input), (2) you need 1M context, (3) you prefer Google's ecosystem and pricing model.
Are GPT-4o and Gemini 3.1 Pro good for production use?
Both are production-ready. GPT-4o is OpenAI's multimodal flagship, excelling at vision, code generation, and creative tasks. Gemini 3.1 Pro is Google's mid-tier model, offering strong multimodal capabilities, a 1M context window, and competitive pricing. Both have enterprise-grade reliability, SLAs, and global infrastructure.