Gemini 3 Pro vs GPT-5
Gemini 3 Pro leads the LLM Stats Score 38.6 to 33.8. GPT-5 is 1.3x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3 Pro leads the overall LLM Stats Score 38.6 to 33.8, ranking #67 overall.
In the 7 individual benchmarks reported for both models, Gemini 3 Pro wins 7; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5 is roughly 1.3x 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
- overall performance matters — it scores 38.6 and ranks #67 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 7 of 7 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2025
Choose GPT-5
- cost matters — it's about 1.3x cheaper per token
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 · 34 for GPT-5
Gemini 3 Pro outperforms in 7 benchmarks (AIME 2025, CharXiv-R, GPQA, Humanity's Last Exam, MMMU-Pro, SWE-Bench Verified, VideoMMMU), while GPT-5 is better at 0 benchmarks.
Gemini 3 Pro significantly outperforms across most benchmarks.
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 1.6x more expensive than GPT-5 ($1.25/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 1.2x more expensive than GPT-5 ($10.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than GPT-5.*
* 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's 400,000 tokens. GPT-5 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 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
GPT-5
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 was released on 2025-08-07.
Gemini 3 Pro is 3 months newer than GPT-5.
Nov 18, 2025
10 months ago
3mo newerAug 7, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while GPT-5 has a cutoff of 2024-09-30.
Gemini 3 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to GPT-5 (2024-09-30).
Jan 2025
4 mo newerSep 2024
Provider Availability
Gemini 3 Pro is available from Google. GPT-5 is available from OpenAI.
Gemini 3 Pro
GPT-5
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3 Pro and GPT-5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3 Pro vs GPT-5.