llm-benchmarks
githubdrose.io

dekallm Provider Benchmarks


Measured over the last 30 days

Models Tracked
9
Avg Tokens / Second
14.83
Avg Time to First Token (ms)
12227.78
Last Updated
Oct 14, 2026

All dekallm models

9 live · one row per model · fastest first · 2 folded behind their current lane
ModelAvg Toks/SecMinMaxAvg TTF (ms)
Gemma 4 26B A4B43.9014.1072.60910.00
Qwen3 30B A3B Instruct 250743.8043.8043.80810.00
Mistral Nemo18.3018.3018.30730.00
Qwen3.6 35B A3B8.185.769.968010.00
Qwen3.8 27B5.682.467.8513300.00
gpt-oss-120b5.254.905.609690.00
gpt-oss-20b4.271.699.4416700.00
Nemotron 3 Super2.072.072.0729400.00
DeepSeek V4.1 Flash2.042.042.0430500.00

Frequently Asked Questions

Which dekallm model is fastest?
Based on recent tests, Gemma 4 26B A4B shows the highest average throughput among tracked dekallm models.
How many recent measurements feed this dashboard?
This provider summary aggregates 957 individual prompts measured across 925 monitoring runs over the past month.