Gemma 3n E4B Instructed vs GPT-6 Sol
GPT-6 Sol leads the LLM Stats Score 49.4 to -4.7. GPT-6 Sol is 6.3x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.4 to -4.7, ranking #21 overall.
On price, GPT-6 Sol is roughly 6.3x 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 3n E4B Instructed
- you want predictable pricing at $20.00/M input and $40.00/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 6.3x 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.
Individual benchmarks
18 reported for Gemma 3n E4B Instructed · 5 for GPT-6 Sol
Gemma 3n E4B Instructed 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 3n E4B Instructed ($20.00/1M tokens) is 10.0x more expensive than GPT-6 Sol ($2.00/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 4.0x more expensive than GPT-6 Sol ($10.00/1M tokens).
In conclusion, Gemma 3n E4B Instructed 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 Gemma 3n E4B Instructed's 32,000 tokens. GPT-6 Sol can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3n E4B Instructed and GPT-6 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E4B Instructed
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
Gemma 3n E4B Instructed was released on 2025-06-26, while GPT-6 Sol was released on 2026-09-22.
GPT-6 Sol is 15 months newer than Gemma 3n E4B Instructed.
Jun 26, 2025
1.2 years ago
Sep 22, 2026
0 days ago
1.2yr newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a knowledge cutoff of 2024-06-01, 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 Gemma 3n E4B Instructed (2024-06-01).
Jun 2024
Apr 2026
1.8 yr newerProvider Availability
Gemma 3n E4B Instructed is available from Together. GPT-6 Sol is available from OpenAI.
Gemma 3n E4B Instructed
GPT-6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and GPT-6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E4B Instructed vs GPT-6 Sol.