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Google: Gemini 3.1 Pro Preview vs OpenAI: GPT-5.6 Sol Pro

Head-to-head API cost, context, and performance comparison. Synced at 4:36:14 PM.

Executive Summary

When evaluating Google: Gemini 3.1 Pro Preview against OpenAI: GPT-5.6 Sol Pro, the pricing structure is a key differentiator. Google: Gemini 3.1 Pro Preview is approximately 60% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.6 Sol Pro leads with a statistical ELO score of 1503. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.6 Sol Pro, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Google: Gemini 3.1 Pro Preview
OpenAI: GPT-5.6 Sol Pro
Performance (ELO)
1503
1503
Input Cost / 1M
$2.00
$5.00
Output Cost / 1M
$12.00
$30.00
Context Window
1,048,576 tokens
1,050,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Google: Gemini 3.1 Pro Preview wins out aggressively in pricing.

People Also Ask

Is Google: Gemini 3.1 Pro Preview cheaper than OpenAI: GPT-5.6 Sol Pro?

Yes. Google: Gemini 3.1 Pro Preview is cheaper for both input and output generation compared to OpenAI: GPT-5.6 Sol Pro. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-5.6 Sol Pro model has the advantage in memory, offering a massive 1,050,000 token limit for document ingestion.

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