Gemini 3 Pro vs GPT-5.2
Gemini 3 Pro and GPT-5.2 are closely matched at 38.7 and 42.0 on the LLM Stats Score. Gemini 3 Pro is 1.1x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3 Pro and GPT-5.2 are closely matched on the overall LLM Stats Score at 38.7 and 42.0.
In the 11 individual benchmarks reported for both models, GPT-5.2 wins 7; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 3 Pro is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3 Pro
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose GPT-5.2
- you value its reported benchmark strengths — it wins 7 of 11 exact shared results
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
21 reported for Gemini 3 Pro · 24 for GPT-5.2
Gemini 3 Pro outperforms in 4 benchmarks (Humanity's Last Exam, MMMLU, MMMU-Pro, VideoMMMU), while GPT-5.2 is better at 6 benchmarks (ARC-AGI v2, CharXiv-R, GPQA, LiveBench, ScreenSpot Pro, SWE-Bench Verified).
GPT-5.2 has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 1.1x more expensive than GPT-5.2 ($1.75/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 1.2x cheaper than GPT-5.2 ($14.00/1M tokens).
In conclusion, GPT-5.2 is more expensive than Gemini 3 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Pro accepts 1,048,576 input tokens compared to GPT-5.2's 400,000 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3 Pro and GPT-5.2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
GPT-5.2
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 3 Pro was released on 2025-11-18, while GPT-5.2 was released on 2025-12-11.
GPT-5.2 is 1 month newer than Gemini 3 Pro.
Nov 18, 2025
9 months ago
Dec 11, 2025
8 months ago
3w newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while GPT-5.2 has a cutoff of 2025-08-25.
GPT-5.2 has more recent training data (up to 2025-08-25), making it potentially better informed about events through that date compared to Gemini 3 Pro (2025-01-31).
Jan 2025
Aug 2025
7 mo newerProvider Availability
Gemini 3 Pro is available from Google. GPT-5.2 is available from OpenAI.
Gemini 3 Pro
GPT-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3 Pro and GPT-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3 Pro vs GPT-5.2.