Gemini 3.1 Pro vs GPT-5.5
Gemini 3.1 Pro vs GPT-5.5: Gemini 3.1 Pro is cheaper for input-heavy usage ($2.00/M vs $5.00/M input tokens), while GPT-5.5 is better for long-context tasks (1,050,000 tokens).
Direct answer: choose Gemini 3.1 Pro for lower token spend and choose GPT-5.5 when your workload needs longer context.
Common pricing searches covered on this page: Gemini 3.1 Pro vs GPT-5.5 • Gemini 3.1 Pro vs GPT-5.5 pricing • Gemini 3.1 Pro vs GPT-5.5 API pricing and 3 1 pro vs 5 5 pricing.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 3.1 Pro
GPT-5.5
Cost Differences
GPT-5.5 costs more than Gemini 3.1 Pro
Quick Recommendation
Winner for direct API pricing: Gemini 3.1 Pro. At the default workload, Gemini 3.1 Pro saves about $36.00/month ($438.00/year) versus GPT-5.5.
Feature Comparison
| Feature | Gemini 3.1 Pro | GPT-5.5 |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $2.00/1M tokens | $5.00/1M tokens |
| Output Price | $12.00/1M tokens | $30.00/1M tokens |
| Context Window | 1,000,000 tokens | 1,050,000 tokens |
| Max Output | 65,536 tokens | 128,000 tokens |
| Category | flagship | flagship |
| Capabilities | textvisionaudiovideocodereasoning | textvisioncodereasoning |
| Release Date | 2/19/2026 | 4/24/2026 |
Gemini 3.1 Pro vs GPT-5.5: Which Should You Choose?
Choosing between Gemini 3.1 Pro and GPT-5.5 depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.1 Pro is the more affordable option at $2.00/1M input tokens — 60% cheaper than GPT-5.5. Meanwhile, GPT-5.5 offers a significantly larger context window at 1,050,000 tokens vs 1,000,000 for Gemini 3.1 Pro.
These models come from different providers — Google and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Gemini 3.1 Pro would save you roughly $3,600.00/month compared to GPT-5.5. For startups and indie developers, that difference can be significant.
Output costs matter too. Gemini 3.1 Pro charges $12.00/1M output tokens vs $30.00 for GPT-5.5. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini 3.1 Pro has the edge here at $12.00/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose Gemini 3.1 Pro when:
- • Budget is a primary concern
- • You need more capabilities (audio, video)
- • You're already using Google's API ecosystem
Choose GPT-5.5 when:
- • You need a larger context window (1,050,000 tokens)
- • You need longer outputs (up to 128,000 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Gemini 3.1 Pro
- • Input pricing: $2.00/M tokens
- • Output pricing: $12.00/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Smaller context window than GPT-5.5
GPT-5.5
- • Input pricing: $5.00/M tokens
- • Output pricing: $30.00/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Higher input cost than Gemini 3.1 Pro
- • Higher output cost than Gemini 3.1 Pro
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 3.1 Pro (Google)
GPT-5.5 (OpenAI)
Start using Gemini 3.1 Pro today
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Gemini 3.1 Pro or GPT-5.5?▼
What is the context window difference between Gemini 3.1 Pro and GPT-5.5?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Google and OpenAI API pricing beyond this model matchup?▼
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