GPT-5 vs Gemini 3 Pro
GPT-5 vs Gemini 3 Pro: GPT-5 is cheaper for input-heavy usage ($1.25/M vs $2.00/M input tokens), while Gemini 3 Pro is better for long-context tasks (2,000,000 tokens).
Direct answer: choose GPT-5 for lower token spend and choose Gemini 3 Pro when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5
Gemini 3 Pro
Cost Differences
Gemini 3 Pro costs more than GPT-5
Quick Recommendation
Winner for direct API pricing: GPT-5. At the default workload, GPT-5 saves about $5.25/month ($63.875/year) versus Gemini 3 Pro.
Feature Comparison
| Feature | GPT-5 | Gemini 3 Pro |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $1.25/1M tokens | $2.00/1M tokens |
| Output Price | $10.00/1M tokens | $12.00/1M tokens |
| Context Window | 1,000,000 tokens | 2,000,000 tokens |
| Max Output | 131,072 tokens | 131,072 tokens |
| Category | flagship | flagship |
| Capabilities | textvisionaudiocode | textvisionaudiovideocode |
| Release Date | 8/7/2025 | 11/18/2025 |
GPT-5 vs Gemini 3 Pro: Which Should You Choose?
Choosing between GPT-5 and Gemini 3 Pro depends on your priorities: cost efficiency, context length, or raw capability. GPT-5 is the more affordable option at $1.25/1M input tokens — 38% cheaper than Gemini 3 Pro. Meanwhile, Gemini 3 Pro offers a significantly larger context window at 2,000,000 tokens vs 1,000,000 for GPT-5.
These models come from different providers — OpenAI and Google — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Googleinvolves 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: GPT-5 would save you roughly $525.00/month compared to Gemini 3 Pro. For startups and indie developers, that difference can be significant.
Output costs matter too. GPT-5 charges $10.00/1M output tokens vs $12.00 for Gemini 3 Pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5 has the edge here at $10.00/1M 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 GPT-5 when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
Choose Gemini 3 Pro when:
- • You need a larger context window (2,000,000 tokens)
- • You need more capabilities (video)
- • You're already using Google's API ecosystem
Pros and Caveats at a Glance
GPT-5
- • Input pricing: $1.25/M tokens
- • Output pricing: $10.00/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 131,072 tokens
Watch out for
- • Smaller context window than Gemini 3 Pro
Gemini 3 Pro
- • Input pricing: $2.00/M tokens
- • Output pricing: $12.00/M tokens
- • Context window: 2,000,000 tokens
- • Max output: 131,072 tokens
Watch out for
- • Higher input cost than GPT-5
- • Higher output cost than GPT-5
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5 (OpenAI)
Gemini 3 Pro (Google)
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Which is cheaper, GPT-5 or Gemini 3 Pro?▼
What is the context window difference between GPT-5 and Gemini 3 Pro?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare OpenAI and Google API pricing beyond this model matchup?▼
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