Model Comparison
Gemma 3n E2B Instructed vs o4-mini
o4-mini significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E2B Instructed outperforms in 0 benchmarks, while o4-mini is better at 2 benchmarks (AIME 2025, GPQA).
o4-mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).
Input Capabilities
Supported data types and modalities
Both Gemma 3n E2B Instructed and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E2B Instructed
o4-mini
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 E2B Instructed was released on 2025-06-26, while o4-mini was released on 2025-04-16.
Gemma 3n E2B Instructed is 2 months newer than o4-mini.
Jun 26, 2025
9 months ago
2mo newerApr 16, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
Gemma 3n E2B Instructed has a knowledge cutoff of 2024-06-01, while o4-mini has a cutoff of 2024-05-31.
Gemma 3n E2B Instructed has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to o4-mini (2024-05-31).
Jun 2024
1 mo newerMay 2024
Outputs Comparison
Key Takeaways
o4-mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemma 3n E2B Instructed vs o4-mini