Gemma 4 Model Comparison: 31B vs 26B A4B vs E4B vs E2B

Gemma 4 is easier to evaluate than many launches because it is a family with clear roles instead of a single model trying to fit every machine and workflow.

If you only want the short answer:

• Choose 31B when output quality matters most and you have the hardware budget to support it.
• Choose 26B A4B when you want a more efficient high-end option and care about throughput.
• Choose E4B when you want a practical local starting point with better headroom than the smallest model.
• Choose E2B when your top priority is fitting Gemma 4 onto lighter hardware.

Official Gemma 4 family at a glance

Based on the official Gemma 4 materials summarized in our research, the family breaks down like this:

Model	Architecture	Effective or active parameters	Context window	Input modalities	Approx. Q4 memory
Gemma 4 E2B	Dense, edge-oriented	2.3B effective	128K	Text, image, audio	3.2 GB
Gemma 4 E4B	Dense, edge-oriented	4.5B effective	128K	Text, image, audio	5.0 GB
Gemma 4 26B A4B	MoE	3.8B active	256K	Text, image	15.6 GB
Gemma 4 31B	Dense	30.7B active	256K	Text, image	17.4 GB

Two details matter immediately:

• The larger pair gives you 256K context.
• The smaller pair is where native audio support lives.

What each Gemma 4 model is best for

Gemma 4 31B

31B is the easiest answer when someone says, "I want the strongest Gemma 4 experience."

It is the dense, quality-first option in the family, which usually means:

• better headroom for reasoning-heavy prompts
• more confidence on long-context tasks
• a better default pick for side-by-side comparisons against other higher-end open models

The tradeoff is obvious: you should only start here if your hardware can handle it comfortably.

Gemma 4 26B A4B

26B A4B is the model to study if you care about efficiency, not just raw headline size.

The important point is not the total parameter number alone. It is that the model uses a MoE design with much lower active parameters during inference. In practice, that makes 26B A4B the most interesting choice for people who want a high-end Gemma 4 option without defaulting to the densest model.

Choose it when:

• you want a premium Gemma 4 option
• you care about throughput
• you want to stay closer to a "best efficiency" lane than a "best absolute quality" lane

Gemma 4 E4B

E4B is the most balanced starting point for many local users.

It is meaningfully more capable than the smallest model while still keeping hardware demands in a range that feels realistic for a lot of local setups. Because it keeps 128K context and adds image plus audio input, E4B is often the first version worth trying if you want to learn the family without committing to the high end.

Choose it when:

• you want a credible local starting point
• you want multimodal input on lighter hardware
• you expect to iterate more than benchmark

Gemma 4 E2B

E2B is the easiest door into the family.

It is not the model you pick to win every benchmark argument. It is the model you pick when you want the lightest official Gemma 4 route, especially for experimentation, edge-style setups, or low-friction local testing.

Choose it when:

• you want the lowest memory barrier
• you want to test prompts before moving up
• you care more about access and speed-to-first-run than maximum output quality

How hardware changes the decision

If your machine is the real constraint, make the hardware call first and the benchmark call second.

Here is the practical reading:

• Under 8 GB effective headroom: start with E2B.
• Around 8 GB to 12 GB effective headroom: E4B becomes much more realistic.
• Around 16 GB class setups: 26B A4B in lighter quantization starts to enter the conversation, but you still need to be conservative.
• 17 GB and above with real breathing room: 31B becomes the quality-first candidate.

These are not promises. They are planning rules based on the official approximate memory numbers. Real-world overhead depends on runtime, quantization format, context length, and what else your machine is doing.

For the full table and hardware planning advice, read Gemma 4 hardware requirements.

Which Gemma 4 model should most people start with?

If you want the fastest recommendation:

1. Start with E4B if you want a practical local trial.
2. Move to 26B A4B if you decide Gemma 4 is worth taking seriously and efficiency matters.
3. Use 31B when you already know that quality is your top priority.
4. Keep E2B as the lightweight fallback or first test bed.

A simple decision framework

Use this if you want a no-drama answer:

• Pick 31B for best quality.
• Pick 26B A4B for best efficiency at the high end.
• Pick E4B for the best lightweight starting point.
• Pick E2B for the smallest official entry point.

Related guides

• Gemma 4 hardware requirements
• How to run Gemma 4 in Ollama
• How to run Gemma 4 in LM Studio
• Gemma 4 vs Qwen
• Try the free Gemma 4 web chat on AvenChat