The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
Google's post 'Introducing Gemma 3: The most capable model you can run on a single GPU or TPU' and the developers blog guide are both dated March 12, 2025 and say Gemma 3 is available that day.
Router listing of the 4B instruct model: 131,072-token context, text and image input, $0.05 per 1 million input tokens and $0.10 per 1 million output tokens.[1]
Dates the family: Gemma February 2024, Gemma 2 on 27 June 2024, Gemma 3 on 12 March 2025, Gemma 4 on 2 April 2026; 128K context for every size except the 32K 1B.[1]
The technical report: higher local-to-global attention ratio to cut KV-cache memory, distillation, and the claim that Gemma3-4B-IT is competitive with Gemma2-27B-IT; Table 6 holds the instruction-tuned benchmark numbers.[1]
Developer guide: four sizes each as pre-trained and instruction-tuned, 128k context, 140+ languages, 2T/4T/12T/14T training tokens, SigLIP vision encoder, distillation plus RLHF, RLMF and RLEF post-training, LMArena 1338 for the 27B.[1]
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| Benchmark | Gemma 2 2B | Gemma 2 9B | Gemma 2 27B | Gemma 3 1B | Gemma 3 4B | Gemma 3 12B | Gemma 3 27B |
|---|---|---|---|---|---|---|---|
| MMLU-Pro | 15.6 | 46.8 | 56.9 | 14.7 | 43.6 | 60.6 | 67.5 |
| LiveCodeBench | 1.2 | 10.8 | 20.4 | 1.9 | 12.6 | 24.6 | 29.7 |
| Bird-SQL (dev) | 12.2 | 33.8 | 46.7 | 6.4 | 36.3 | 47.9 | 54.4 |
| GPQA Diamond | 24.7 | 28.8 | 34.3 | 19.2 | 30.8 | 40.9 | 42.4 |
| SimpleQA | 2.8 | 5.3 | 9.2 | 2.2 | 4.0 | 6.3 | 10.0 |
| FACTS Grounding | 43.8 | 62.0 | 62.4 | 36.4 | 70.1 | 75.8 | 74.9 |
| Global MMLU-Lite | 41.9 | 64.8 | 68.6 | 34.2 | 54.5 | 69.5 | 75.1 |
| MATH | 27.2 | 49.4 | 55.6 | 48.0 | 75.6 | 83.8 | 89.0 |
| HiddenMath | 1.8 | 10.4 | 14.8 | 15.8 | 43.0 | 54.5 | 60.3 |
| MMMU (val) | - | - | - | - | 48.8 | 59.6 | 64.9 |