Model Comparison
Gemini 3.1 Flash-Lite vs Gemma 4 31BWhich is better in 2026?
Gemma 4 31B has a slight edge in benchmark performance. Gemma 4 31B is 2.9x cheaper per token.
Verdict: Gemini 3.1 Flash-Lite vs Gemma 4 31B — which is better?
Gemini 3.1 Flash-Lite (by Google) and Gemma 4 31B (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 3.1 Flash-Lite outperforms in 2 benchmarks (GPQA, MMMLU), while Gemma 4 31B is better at 3 benchmarks (Humanity's Last Exam, MMMU-Pro, MRCR v2 (8-needle)). Gemma 4 31B has a slight edge in benchmark performance.
On price, Gemma 4 31B is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Flash-Lite also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.1 Flash-Lite if…
- you process long inputs — it offers a 1,000,000 token context window
Choose Gemma 4 31B if…
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
- cost matters — it's about 2.9x 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
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Flash-Lite outperforms in 2 benchmarks (GPQA, MMMLU), while Gemma 4 31B is better at 3 benchmarks (Humanity's Last Exam, MMMU-Pro, MRCR v2 (8-needle)).
Gemma 4 31B has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Flash-Lite ($0.25/1M tokens) is 1.9x more expensive than Gemma 4 31B ($0.13/1M tokens).
For output processing, Gemini 3.1 Flash-Lite ($1.50/1M tokens) is 3.9x more expensive than Gemma 4 31B ($0.38/1M tokens).
In conclusion, Gemini 3.1 Flash-Lite is more expensive than Gemma 4 31B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Flash-Lite accepts 1,000,000 input tokens compared to Gemma 4 31B's 262,144 tokens. Gemma 4 31B can generate longer responses up to 131,072 tokens, while Gemini 3.1 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.1 Flash-Lite and Gemma 4 31B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Flash-Lite
Gemma 4 31B
License
Usage and distribution terms
Gemini 3.1 Flash-Lite is licensed under a proprietary license, while Gemma 4 31B 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 Flash-Lite was released on 2026-03-03, while Gemma 4 31B was released on 2026-04-02.
Gemma 4 31B is 1 month newer than Gemini 3.1 Flash-Lite.
Mar 3, 2026
4 months ago
Apr 2, 2026
3 months ago
1mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Flash-Lite has a knowledge cutoff of 2025-01-31, while Gemma 4 31B has a cutoff of 2025-01-01.
Gemini 3.1 Flash-Lite has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Gemma 4 31B (2025-01-01).
Jan 2025
Jan 2025
Provider Availability
Gemini 3.1 Flash-Lite is available from Google. Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together.
Gemini 3.1 Flash-Lite
Gemma 4 31B
Outputs Comparison
Key Takeaways
Gemma 4 31B
View detailsDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.1 Flash-Lite and Gemma 4 31B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.1 Flash-Lite vs Gemma 4 31B.