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by Google DeepMind

Gemma 3 4B.

multimodal open weights edge 4B params 128K ctx
🧬 Distilled from Gemma 3 27B — smaller, cheaper to run, similar reasoning style.
Cheapest input
$0.04/M
on OpenRouter
Cheapest output
$0.08/M
on OpenRouter
Fastest
20 tok/s
on OpenRouter
Smallest GPU
1× Nvidia Titan V

4B Gemma 3 — laptop multimodal.

Smallest GPU to run it See all quantisations →

1× Nvidia Titan V.

Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.

Where to use it

Cheapest hosted endpoints.

Provider Access $/M in $/M out
OpenRouter api aggregator $0.04 $0.08 Launch ↗
Performance

Speed across providers.

Tokens/sec and time-to-first-token measured against the same prompt template on each provider's API.

Provider Tokens/sec TTFT Total
OpenRouter 20.4 920 ms 5921 ms
Sources

Official references.

Hugging Face ↗ GitHub ↗
Best for

Workloads.

Run LLMs (inference / serving)
FAQ

Frequently asked.

How do I run Gemma 3 4B?
Gemma 3 4B is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access Gemma 3 4B?
Gemma 3 4B is available via OpenRouter, Ollama. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Gemma 3 4B?
Self-hosting cost depends on the GPU you rent and the throughput you need. See the Run It Yourself tab for GPU configurations and hourly cost estimates.
Is Gemma 3 4B open-source or proprietary?
Gemma 3 4B is open-weight under the Gemma Terms of Use license. You can download and self-host it.