Gemma 3 4B
Google · Multimodal · Released Mar 2025
Gemma 3 4B is Google's 4-billion-parameter open-weight text model with a 131K token context window.
- Strengths
- Small parameter count makes it lightweight and efficient for resource-constrained inference while retaining a large context window for most tasks.
- Best for
- Local deployment, serverless inference, or any scenario where model size and latency matter more than raw reasoning capability.
- Limitations
- Smaller parameter count means less capability on complex reasoning or knowledge-intensive tasks compared to larger Gemma variants like Gemma 3 12B or 27B.
Input / 1M
$0.05
Output / 1M
$0.1
Cached input / 1M
—
Context window
131K
Price history
Input (solid)Output (dashed)
Price change
- 30d
- in decreased 0.0% out decreased 0.0%
- 90d
- in decreased 0.0% out decreased 0.0%
- 1y
- in decreased 0.0% out decreased 0.0%
- Since launch
- in decreased 0.0% out decreased 0.0%
Snapshots
| Effective | Input | Output | Cached in | Note | Source |
|---|---|---|---|---|---|
| 27 Oct 2026 | $0.05 | $0.1 | — | Imported from OpenRouter | openrouter.ai |
| 20 Oct 2026 | $0.04 | $0.05 | $0.02 | Imported from OpenRouter | openrouter.ai |
| 11 Jun 2026 | $0.05 | $0.1 | — | Imported from OpenRouter | openrouter.ai |