Gemini 1.5 Flash 8B vs Gemma 3 4B
Gemini 1.5 Flash 8B and Gemma 3 4B are closely matched at -0.6 and -1.7 on the LLM Stats Score. Gemma 3 4B is 5.1x cheaper per token.
Google · Google · Updated for 2026
Which is better?
Gemini 1.5 Flash 8B and Gemma 3 4B are closely matched on the overall LLM Stats Score at -0.6 and -1.7.
In the 5 individual benchmarks reported for both models, Gemini 1.5 Flash 8B wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 3 4B is roughly 5.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 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 Gemini 1.5 Flash 8B
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
Choose Gemma 3 4B
- cost matters — it's about 5.1x cheaper per token
- you want the most recent training data — it shipped Mar 2025
- 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
13 reported for Gemini 1.5 Flash 8B · 26 for Gemma 3 4B
Gemini 1.5 Flash 8B outperforms in 3 benchmarks (GPQA, MMLU-Pro, Natural2Code), while Gemma 3 4B is better at 2 benchmarks (HiddenMath, MATH).
Gemini 1.5 Flash 8B has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 3.5x more expensive than Gemma 3 4B ($0.02/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 7.5x more expensive than Gemma 3 4B ($0.04/1M tokens).
In conclusion, Gemini 1.5 Flash 8B is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Gemini 1.5 Flash 8B has 4.0B more parameters than Gemma 3 4B, making it 100.0% larger.
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to Gemma 3 4B's 131,072 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Gemini 1.5 Flash 8B is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 1.5 Flash 8B and Gemma 3 4B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Flash 8B
Gemma 3 4B
License
Usage and distribution terms
Gemini 1.5 Flash 8B is licensed under a proprietary license, while Gemma 3 4B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Gemma
Open weights
Release Timeline
When each model was launched
Gemini 1.5 Flash 8B was released on 2024-03-15, while Gemma 3 4B was released on 2025-03-12.
Gemma 3 4B is 12 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.5 years ago
Mar 12, 2025
1.5 years ago
12mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while Gemma 3 4B has a cutoff of 2024-08-01.
Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to Gemma 3 4B (2024-08-01).
Oct 2024
2 mo newerAug 2024
Provider Availability
Gemini 1.5 Flash 8B is available from Google. Gemma 3 4B is available from DeepInfra.
Gemini 1.5 Flash 8B
Gemma 3 4B
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and Gemma 3 4B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash 8B vs Gemma 3 4B.