Gemini 3.1 Pro vs Gemma 4 E4B
Gemini 3.1 Pro leads the LLM Stats Score 43.0 to 13.3. Gemma 4 E4B is 112.5x cheaper per token.
Google · Google · Updated for 2026
Which is better?
Gemini 3.1 Pro leads the overall LLM Stats Score 43.0 to 13.3, ranking #57 overall.
In the 5 individual benchmarks reported for both models, Gemini 3.1 Pro wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 4 E4B is roughly 112.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,000,000 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 Gemini 3.1 Pro
- overall performance matters — it scores 43.0 and ranks #57 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
Choose Gemma 4 E4B
- cost matters — it's about 112.5x cheaper per token
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for Gemini 3.1 Pro · 11 for Gemma 4 E4B
Gemini 3.1 Pro outperforms in 5 benchmarks (GPQA, MMMLU, MMMU-Pro, MRCR v2 (8-needle), t2-bench), while Gemma 4 E4B is better at 0 benchmarks.
Gemini 3.1 Pro 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, Gemini 3.1 Pro ($2.00/1M tokens) is 100.0x more expensive than Gemma 4 E4B ($0.02/1M tokens).
For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 120.0x more expensive than Gemma 4 E4B ($0.10/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than Gemma 4 E4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,000,000 input tokens compared to Gemma 4 E4B's 131,072 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while Gemma 4 E4B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.1 Pro and Gemma 4 E4B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
Gemma 4 E4B
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while Gemma 4 E4B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while Gemma 4 E4B was released on 2026-04-02.
Gemma 4 E4B is 1 month newer than Gemini 3.1 Pro.
Feb 19, 2026
8 months ago
Apr 2, 2026
6 months ago
1mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while Gemma 4 E4B has a cutoff of 2025-01-01.
Gemini 3.1 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Gemma 4 E4B (2025-01-01).
Jan 2025
Jan 2025
Provider Availability
Gemini 3.1 Pro is available from DeepInfra, Google. Gemma 4 E4B is available from DeepInfra.
Gemini 3.1 Pro
Gemma 4 E4B
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.1 Pro and Gemma 4 E4B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.1 Pro vs Gemma 4 E4B.