Model Comparison
Gemini 3 Pro vs Gemma 3n E4B InstructedWhich is better in 2026?
Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is 5.6x cheaper per token.
Verdict: Gemini 3 Pro vs Gemma 3n E4B Instructed — which is better?
Gemini 3 Pro (by Google) and Gemma 3n E4B Instructed (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 3 Pro outperforms in 2 benchmarks (AIME 2025, GPQA), while Gemma 3n E4B Instructed is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.
On price, Gemini 3 Pro is roughly 5.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Pro if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 5.6x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2025
Choose Gemma 3n E4B Instructed if…
- you want predictable pricing at $20.00/M input and $40.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 2 benchmarks (AIME 2025, GPQA), while Gemma 3n E4B Instructed is better at 0 benchmarks.
Gemini 3 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 10.0x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 3.3x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than Gemini 3 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Pro accepts 1,048,576 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Gemini 3 Pro can generate longer responses up to 65,536 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3 Pro and Gemma 3n E4B Instructed support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
Gemma 3n E4B Instructed
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
Gemini 3 Pro was released on 2025-11-18, while Gemma 3n E4B Instructed was released on 2025-06-26.
Gemini 3 Pro is 5 months newer than Gemma 3n E4B Instructed.
Nov 18, 2025
6 months ago
4mo newerJun 26, 2025
11 months ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while Gemma 3n E4B Instructed has a cutoff of 2024-06-01.
Gemini 3 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Gemma 3n E4B Instructed (2024-06-01).
Jan 2025
7 mo newerJun 2024
Provider Availability
Gemini 3 Pro is available from Google. Gemma 3n E4B Instructed is available from Together.
Gemini 3 Pro
Gemma 3n E4B Instructed
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsNo standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Gemini 3 Pro vs Gemma 3n E4B Instructed.