Gemini 3 Pro vs GPT-6 Sol
GPT-6 Sol leads the LLM Stats Score 49.4 to 38.5. GPT-6 Sol is 1.1x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.4 to 38.5, ranking #21 overall.
On price, GPT-6 Sol is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Sol also accepts a larger context window (1,050,000 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
- you want predictable pricing at $2.00/M input and $12.00/M output
Choose GPT-6 Sol
- overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
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 · 5 for GPT-6 Sol
Gemini 3 Pro and GPT-6 Soldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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) costs the same as GPT-6 Sol ($2.00/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 1.2x more expensive than GPT-6 Sol ($10.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than GPT-6 Sol.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Sol accepts 1,050,000 input tokens compared to Gemini 3 Pro's 1,048,576 tokens. GPT-6 Sol 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-6 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
GPT-6 Sol
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-6 Sol was released on 2026-09-22.
GPT-6 Sol is 10 months newer than Gemini 3 Pro.
Nov 18, 2025
10 months ago
Sep 22, 2026
0 days ago
10mo newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while GPT-6 Sol has a cutoff of 2026-04-20.
GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to Gemini 3 Pro (2025-01-31).
Jan 2025
Apr 2026
1.3 yr newerProvider Availability
Gemini 3 Pro is available from Google. GPT-6 Sol is available from OpenAI.
Gemini 3 Pro
GPT-6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3 Pro and GPT-6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3 Pro vs GPT-6 Sol.