Gemma 3n E4B Instructed vs GPT-4.1
GPT-4.1 leads the LLM Stats Score 18.0 to -4.7. GPT-4.1 is 7.1x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-4.1 leads the overall LLM Stats Score 18.0 to -4.7, ranking #218 overall.
In the 3 individual benchmarks reported for both models, GPT-4.1 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4.1 is roughly 7.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 also accepts a larger context window (1,047,576 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 Gemma 3n E4B Instructed
- you want the most recent training data — it shipped Jun 2025
Choose GPT-4.1
- overall performance matters — it scores 18.0 and ranks #218 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 7.1x cheaper per token
- you process long inputs — it offers a 1,047,576 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Gemma 3n E4B Instructed · 29 for GPT-4.1
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while GPT-4.1 is better at 3 benchmarks (AIME 2025, GPQA, MMLU).
GPT-4.1 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, Gemma 3n E4B Instructed ($20.00/1M tokens) is 10.0x more expensive than GPT-4.1 ($2.00/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 5.0x more expensive than GPT-4.1 ($8.00/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than GPT-4.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 accepts 1,047,576 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GPT-4.1 can generate longer responses up to 32,768 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-4.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E4B Instructed
GPT-4.1
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-4.1 was released on 2025-04-14.
Gemma 3n E4B Instructed is 2 months newer than GPT-4.1.
Jun 26, 2025
1.2 years ago
2mo newerApr 14, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Both models have the same knowledge cutoff date of 2024-06-01.
They should have similar awareness of historical events and information up to this date.
Jun 2024
Jun 2024
Provider Availability
Gemma 3n E4B Instructed is available from Together. GPT-4.1 is available from OpenAI.
Gemma 3n E4B Instructed
GPT-4.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and GPT-4.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E4B Instructed vs GPT-4.1.