Gemma 3 4B vs Gemma 2 2B

The two models at a glance

About Gemma 3 4B

Google's compact multimodal 4B with 128K context, vision input, and 140+ language coverage. The smallest Gemma 3 with the full feature set intact. Strengths: Multimodal in a 4B footprint, 140+ language coverage, 128K context, Sliding-window attention keeps memory in check.

About Gemma 2 2B

Google's Gemma 2 2B, a compact instruct model distilled from larger Gemmas. Small enough to run on a Raspberry Pi 5 or modest CPU. Strengths: Runs comfortably in under 2GB VRAM at Q4, Best-in-class 2B quality for its release window, Workable on commodity CPUs, Google's Gemma license permits broad use.

How they compare

Gemma 3 4B comes from Google and Gemma 2 2B from Google. This comparison is built entirely from structured specs — parameter count, VRAM by quantization, context window, license, and published benchmark scores — so the verdict below reflects measurable differences rather than marketing claims.

At 4B vs 2B parameters, Gemma 3 4B is the larger of the two. At Q4, Gemma 2 2B fits in about 1.8 GB of VRAM versus 10 GB for the other — a 8.2 GB difference that matters on consumer GPUs.

The two models target different sweet spots: Gemma 3 4B is tuned for chat, general, vision, multilingual, small, while Gemma 2 2B leans toward chat, small. Match the model to your dominant workload rather than to raw size.

On a typical mid-range GPU, Gemma 2 2B pushes roughly 100 tokens/sec versus 40, so it is the more responsive choice for interactive or high-volume use. For long-context work, Gemma 3 4B offers the bigger window (125k vs 8k tokens).

Memory, quantization & throughput

Across quantization levels, Gemma 3 4B requires Q4 ≈ 10 GB, Q5 ≈ 12 GB, Q8 ≈ 18 GB, FP16 ≈ 33 GB, while Gemma 2 2B requires Q4 ≈ 1.8 GB, Q5 ≈ 2.2 GB, Q8 ≈ 3.2 GB, FP16 ≈ 5 GB. In practice Gemma 3 4B needs a 12 GB card at Q4, so plan your GPU around the Q4 or Q5 figure unless you specifically need the higher fidelity of Q8 or FP16.

Without a GPU, Gemma 3 4B needs roughly 12 GB of system RAM to run on CPU and Gemma 2 2B about 4 GB — workable for offline use but far slower than GPU inference. On a mid-range GPU you can expect on the order of 40 tokens/sec from Gemma 3 4B and 100 from Gemma 2 2B, scaling up to 100 and 200 tokens/sec on high-end hardware.

Which fits your GPU

Here is the highest-quality quantization of each model that fits common GPU memory budgets, so you can match Gemma 3 4B or Gemma 2 2B to the card you actually own:

• On a 8 GB GPU: Gemma 3 4B does not fit; Gemma 2 2B runs at FP16 (5 GB).
• On a 12 GB GPU: Gemma 3 4B runs at Q5 (12 GB); Gemma 2 2B runs at FP16 (5 GB).
• On a 16 GB GPU: Gemma 3 4B runs at Q5 (12 GB); Gemma 2 2B runs at FP16 (5 GB).
• On a 24 GB GPU: Gemma 3 4B runs at Q8 (18 GB); Gemma 2 2B runs at FP16 (5 GB).

Benchmark scores

Reported benchmarks for Gemma 2 2B: MMLU 52.2, HellaSwag 74.9.

Bottom line: which should you pick?

• Pick Gemma 3 4B for long-context work (up to 125k tokens).
• Pick Gemma 2 2B for lower VRAM and faster inference; pick Gemma 3 4B for maximum headline quality.
• Pick Gemma 3 4B if your workload is general, multilingual, vision.

Which GPU should you buy to run Gemma 3 4B?

To run Gemma 3 4B locally at Q4, you need ~10 GB of VRAM. The best value for this is a RTX 5070 (12 GB VRAM).

Frequently asked questions

What is the difference between Gemma 3 4B and Gemma 2 2B?

The headline differences: Gemma 3 4B is a 4B model and Gemma 2 2B is 2B; their context windows differ (125k vs 8k tokens). Below we break down VRAM by quantization, benchmark scores, and a use-case verdict so you can pick the right one.

Can Gemma 3 4B and Gemma 2 2B run on a 24 GB GPU?

At a Q4 quantization, Gemma 3 4B needs about 10 GB of VRAM and fits comfortably on a 24 GB GPU; Gemma 2 2B needs about 1.8 GB and fits comfortably on a 24 GB GPU. Gemma 2 2B is the lighter option for tight VRAM budgets.

Which is faster, Gemma 3 4B or Gemma 2 2B?

Gemma 2 2B is the smaller model (2B vs 4B), so on the same hardware it runs faster and uses less memory. The larger model trades speed for headline quality.

What licenses do Gemma 3 4B and Gemma 2 2B use?

Gemma 3 4B is licensed under Gemma and Gemma 2 2B under Gemma.

Which has the longer context window, Gemma 3 4B or Gemma 2 2B?

Gemma 3 4B has the larger context window (125k vs 8k tokens), so it handles longer documents and codebases in a single prompt.