Gemma 3 12B vs GPT-6 Sol
GPT-6 Sol leads the LLM Stats Score 49.4 to 5.6. Gemma 3 12B is 53.3x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.4 to 5.6, ranking #21 overall.
On price, Gemma 3 12B is roughly 53.3x 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 Gemma 3 12B
- cost matters — it's about 53.3x cheaper per token
- you need open weights you can self-host or fine-tune
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
- 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.
Individual benchmarks
26 reported for Gemma 3 12B · 5 for GPT-6 Sol
Gemma 3 12B 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, Gemma 3 12B ($0.05/1M tokens) is 40.0x cheaper than GPT-6 Sol ($2.00/1M tokens).
For output processing, Gemma 3 12B ($0.15/1M tokens) is 66.7x cheaper than GPT-6 Sol ($10.00/1M tokens).
In conclusion, GPT-6 Sol is more expensive than Gemma 3 12B.*
* 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 Gemma 3 12B's 131,072 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while GPT-6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3 12B and GPT-6 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 12B
GPT-6 Sol
License
Usage and distribution terms
Gemma 3 12B is licensed under Gemma, while GPT-6 Sol uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3 12B was released on 2025-03-12, while GPT-6 Sol was released on 2026-09-22.
GPT-6 Sol is 19 months newer than Gemma 3 12B.
Mar 12, 2025
1.5 years ago
Sep 22, 2026
0 days ago
1.5yr newerKnowledge Cutoff
When training data ends
GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while Gemma 3 12B's cutoff date is not specified.
We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without Gemma 3 12B's cutoff date.
—
Apr 2026
Provider Availability
Gemma 3 12B is available from DeepInfra. GPT-6 Sol is available from OpenAI.
Gemma 3 12B
GPT-6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 12B and GPT-6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 12B vs GPT-6 Sol.