Model benchmarks
devstral-small-2:latest local LLM performance
As of April 2026, devstral-small-2:latest runs at up to 28.5 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
OllamaQ4_K_M
Model size
24.0B
Peak speed
28.5 tok/s
Average speed
16.9 tok/s
Min memory
16.3 GB
Max context
4,334 tokens
Best quality
93.1
Benchmark runs
3
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination devstral-small-2:latest has been benchmarked on, ranked by peak token generation speed. Last updated April 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | Ollama | Q4_K_M | 28.5 tok/s | 16.9 tok/s | 16.3 GB | 4,334 tokens | 63.2 | 3 |
Frequently asked questions
- How fast is devstral-small-2:latest for local inference?
- Across 3 community benchmark runs, devstral-small-2:latest reaches up to 28.5 tok/s and averages 16.9 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does devstral-small-2:latest need?
- The leanest observed configuration used about 16.3 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run devstral-small-2:latest?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.