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Gemini 3 Pro vs o3-pro

Compare Google and OpenAI AI models

Google
Gemini 3 Pro
vs
OpenAI
o3-pro

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini 3 Pro

Per Request:$0.008000
Daily:$0.80
Monthly:$24.00
Yearly:$292.00

o3-pro

Per Request:$0.06
Daily:$6.00
Monthly:$180.00
Yearly:$2,190.00

Cost Differences

+$0.052
Per Request
+$5.20
Daily
+$156.00
Monthly
+$1,898.00
Yearly

o3-pro costs more than Gemini 3 Pro

Feature Comparison

FeatureGemini 3 Proo3-pro
ProviderGoogleOpenAI
Input Price$2.00/1M tokens$20.00/1M tokens
Output Price$12.00/1M tokens$80.00/1M tokens
Context Window2,000,000 tokens1,000,000 tokens
Max Output131,072 tokens131,072 tokens
Categoryflagshipreasoning
Capabilities
textvisionaudiovideocode
textreasoningcode
Release Date11/18/20256/10/2025

Gemini 3 Pro vs o3-pro: Which Should You Choose?

Choosing between Gemini 3 Pro and o3-pro depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3 Pro is the more affordable option at $2.00/1M input tokens90% cheaper than o3-pro. Meanwhile, Gemini 3 Pro offers a significantly larger context window at 2,000,000 tokens vs 1,000,000 for o3-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.

These models target different tiers: Gemini 3 Pro is a flagship model while o3-pro is reasoning. This means they're optimized for different workloads. Gemini 3 Pro is built for complex tasks that require deeper reasoning, while o3-pro offers better value for routine operations.

Output costs matter too. Gemini 3 Pro charges $12.00/1M output tokens vs $80.00 for o3-pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini 3 Pro has the edge here at $12.00/1M output tokens.

Multimodal capabilities: Gemini 3 Pro supports vision (image inputs) while o3-pro is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini 3 Pro when:

  • • Budget is a primary concern
  • • You need a larger context window (2,000,000 tokens)
  • • You need more capabilities (vision, audio, video)
  • • You're already using Google's API ecosystem

Choose o3-pro when:

  • • You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini 3 Pro (Google)

o3-pro (OpenAI)

Start using Gemini 3 Pro today

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Start using o3-pro today

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Frequently Asked Questions

Which is cheaper, Gemini 3 Pro or o3-pro?
Gemini 3 Pro is cheaper for input tokens at $2.00 per million tokens vs $20.00 for o3-pro — that's 90% savings on input costs.
What is the context window difference between Gemini 3 Pro and o3-pro?
Gemini 3 Pro supports 2,000,000 tokens while o3-pro supports 1,000,000 tokens — a difference of 1,000,000 tokens in favor of Gemini 3 Pro.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Gemini 3 Pro is the lower-cost option, while Gemini 3 Pro offers a larger context window (2,000,000 vs 1,000,000 tokens). Choose Gemini 3 Pro for budget sensitivity or Gemini 3 Pro for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Gemini 3 Pro costs about $24.00/month and o3-pro costs about $180.00/month. Overall, Gemini 3 Pro has lower combined input + output rates ($2.00 in, $12.00 out) vs o3-pro.

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