Model benchmarks
gemma4:26b local LLM performance
As of June 2026, gemma4:26b runs at up to 50.6 tok/s for local inference (best of 21 community benchmark runs across 1 GPU).
OllamaQ4_K_M
Model size
25.8B
Peak speed
50.6 tok/s
Average speed
28.6 tok/s
Min memory
16.2 GB
Max context
10,432 tokens
Best quality
94.6
Benchmark runs
21
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination gemma4:26b has been benchmarked on, ranked by peak token generation speed. Last updated June 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | Ollama | Q4_K_M | 50.6 tok/s | 28.6 tok/s | 16.2 GB | 10,432 tokens | 61.6 | 21 |
Frequently asked questions
- How fast is gemma4:26b for local inference?
- Across 21 community benchmark runs, gemma4:26b reaches up to 50.6 tok/s and averages 28.6 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does gemma4:26b need?
- The leanest observed configuration used about 16.2 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run gemma4:26b?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.