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Gemini 3.1 Pro vs o3

Compare Google and OpenAI AI models

Google
Gemini 3.1 Pro
vs
OpenAI
o3

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

Gemini 3.1 Pro

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

o3

Per Request:$0.006000
Daily:$0.60
Monthly:$18.00
Yearly:$219.00

Cost Differences

$0.002000
Per Request
$0.20
Daily
$6.00
Monthly
$73.00
Yearly

o3 costs less than Gemini 3.1 Pro

Feature Comparison

FeatureGemini 3.1 Proo3
ProviderGoogleOpenAI
Input Price$2.00/1M tokens$2.00/1M tokens
Output Price$12.00/1M tokens$8.00/1M tokens
Context Window1,000,000 tokens1,000,000 tokens
Max Output65,536 tokens131,072 tokens
Categoryflagshipreasoning
Capabilities
textvisionaudiovideocodereasoning
textreasoningvisioncode
Release Date2/19/20264/16/2025

Gemini 3.1 Pro vs o3: Which Should You Choose?

Choosing between Gemini 3.1 Pro and o3 depends on your priorities: cost efficiency, context length, or raw capability. o3 is the more affordable option at $2.00/1M input tokens.

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 3.1 Pro is a flagship model while o3 is reasoning. This means they're optimized for different workloads. Gemini 3.1 Pro is built for complex tasks that require deeper reasoning, while o3 offers better value for routine operations.

Output costs matter too. Gemini 3.1 Pro charges $12.00/1M output tokens vs $8.00 for o3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o3 has the edge here at $8.00/1M 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:

  • • You need more capabilities (audio, video)
  • • You're already using Google's API ecosystem

Choose o3 when:

  • • You need longer outputs (up to 131,072 tokens)
  • • 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 3.1 Pro (Google)

o3 (OpenAI)

Start using Gemini 3.1 Pro today

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Start using o3 today

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Frequently Asked Questions

Which is cheaper, Gemini 3.1 Pro or o3?
o3 is cheaper for input tokens at $2.00 per million tokens vs $2.00 for Gemini 3.1 Pro.
What is the context window difference between Gemini 3.1 Pro and o3?
Gemini 3.1 Pro supports 1,000,000 tokens while o3 supports 1,000,000 tokens — a difference of 0 tokens in favor of Gemini 3.1 Pro.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, o3 is the lower-cost option, while Gemini 3.1 Pro offers a larger context window (1,000,000 vs 1,000,000 tokens). Choose o3 for budget sensitivity or Gemini 3.1 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 3.1 Pro costs about $24.00/month and o3 costs about $18.00/month. Overall, o3 has lower combined input + output rates ($2.00 in, $8.00 out) vs Gemini 3.1 Pro.

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