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Gemini 3.1 Pro vs Gemini 3 Pro

Pricing verdict: Gemini 3.1 Pro vs Gemini 3 Pro: pricing is a tie at $2.00/M input and $12.00/M output. The real choice is context: Gemini 3 Pro is better for long-context tasks (2,000,000 tokens vs 1,000,000).

Direct answer: pricing is a tie. Choose Gemini 3 Pro for the larger 2M context window, or pick Gemini 3.1 Pro if 1M is already enough for your workload.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Google
Gemini 3.1 Pro
vs
Google
Gemini 3 Pro

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

Gemini 3 Pro

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

Cost Differences

$0.00
Per Request
$0.00
Daily
$0.00
Monthly
$0.00
Yearly

Both models cost the same at the default workload.

Quick Recommendation

Direct API pricing is a tie at the default workload: both land around $24.00/month. Pick Gemini 3 Pro if you need the larger 2M context window; otherwise choose the model that better fits your workflow.

Feature Comparison

FeatureGemini 3.1 ProGemini 3 Pro
ProviderGoogleGoogle
Input Price$2.00/1M tokens$2.00/1M tokens
Output Price$12.00/1M tokens$12.00/1M tokens
Context Window1,000,000 tokens2,000,000 tokens
Max Output65,536 tokens131,072 tokens
Categoryflagshipflagship
Capabilities
textvisionaudiovideocodereasoning
textvisionaudiovideocode
Release Date2/19/202611/18/2025

Gemini 3.1 Pro vs Gemini 3 Pro: Which Should You Choose?

Choosing between Gemini 3.1 Pro and Gemini 3 Pro depends on your priorities: cost efficiency, context length, or raw capability. Both models cost the same on input and output tokens, so raw price is a tie. Meanwhile, Gemini 3 Pro offers a significantly larger context window at 2,000,000 tokens vs 1,000,000 for Gemini 3.1 Pro.

Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — direct API pricing stays tied, so the real decision is context, latency, and provider fit.

Output costs matter too. Gemini 3.1 Pro charges $12.00/1M output tokens vs $12.00 for Gemini 3 Pro.

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 (reasoning)
  • • You're already using Google's API ecosystem

Choose Gemini 3 Pro when:

  • • You need a larger context window (2,000,000 tokens)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using Google'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 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

  • Trade-offs are minor in this matchup.

Try Different Scenarios

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

Gemini 3.1 Pro (Google)

Gemini 3 Pro (Google)

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Frequently Asked Questions

Which is cheaper, Gemini 3.1 Pro or Gemini 3 Pro?
They are priced the same at $2.00 per million input tokens and $12.00 per million output tokens. The real difference is context and workload fit: Gemini 3 Pro gives you 2,000,000 tokens of context vs 1,000,000 for Gemini 3.1 Pro.
What is the context window difference between Gemini 3.1 Pro and Gemini 3 Pro?
Gemini 3.1 Pro supports 1,000,000 tokens while Gemini 3 Pro supports 2,000,000 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, and direct token pricing is tied. For ai chatbot, start with Gemini 3 Pro if you need the larger 2,000,000-token context window; otherwise choose the model whose provider, tools, or latency profile fits better.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, both models land at about $24.00/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.

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