Gemma 3 4B vs GPT-6.1 Sol
GPT-6.1 Sol leads the LLM Stats Score 52.0 to -1.9. Gemma 3 4B is 160.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to -1.9, ranking #11 overall.
On price, Gemma 3 4B is roughly 160.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 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 4B
- cost matters — it's about 160.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6.1 Sol
- overall performance matters — it scores 52.0 and ranks #11 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Gemma 3 4B · 10 for GPT-6.1 Sol
Gemma 3 4B and GPT-6.1 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 4B ($0.02/1M tokens) is 100.0x cheaper than GPT-6.1 Sol ($2.00/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 250.0x cheaper than GPT-6.1 Sol ($10.00/1M tokens).
In conclusion, GPT-6.1 Sol is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Sol accepts 1,050,000 input tokens compared to Gemma 3 4B's 131,072 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while GPT-6.1 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3 4B and GPT-6.1 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 4B
GPT-6.1 Sol
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while GPT-6.1 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 4B was released on 2025-03-12, while GPT-6.1 Sol was released on 2026-09-29.
GPT-6.1 Sol is 19 months newer than Gemma 3 4B.
Mar 12, 2025
1.6 years ago
Sep 29, 2026
2 days ago
1.6yr newerKnowledge Cutoff
When training data ends
Gemma 3 4B has a knowledge cutoff of 2024-08-01, while GPT-6.1 Sol has a cutoff of 2026-04-30.
GPT-6.1 Sol has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Gemma 3 4B (2024-08-01).
Aug 2024
Apr 2026
1.7 yr newerProvider Availability
Gemma 3 4B is available from DeepInfra. GPT-6.1 Sol is available from OpenAI.
Gemma 3 4B
GPT-6.1 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and GPT-6.1 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs GPT-6.1 Sol.