llm-benchmarks
githubdrose.io

dekallm Provider Benchmarks


Measured over the last 30 days

Models Tracked
8
Avg Tokens / Second
19.01
Avg Time to First Token (ms)
6016.25
Last Updated
Oct 27, 2026

All dekallm models

8 live · one row per model · fastest first · 1 folded behind their current lane
ModelAvg Toks/SecMinMaxAvg TTF (ms)
Qwen3 30B A3B Instruct 250745.7043.8047.70780.00
DeepSeek V4 Pro 081331.101.8349.308920.00
Gemma 4 26B A4B29.6020.6044.60790.00
Mistral Nemo15.6012.9018.30770.00
Nemotron 3 Super9.159.159.156180.00
Qwen3.6 35B A3B7.505.769.968710.00
gpt-oss-20b6.821.6918.9013000.00
gpt-oss-120b6.573.788.828980.00

Frequently Asked Questions

Which dekallm model is fastest?
Based on recent tests, Qwen3 30B A3B Instruct 2507 shows the highest average throughput among tracked dekallm models.
How many recent measurements feed this dashboard?
This provider summary aggregates 984 individual prompts measured across 948 monitoring runs over the past month.