llm-benchmarks
githubdrose.io

venice Provider Benchmarks


Measured over the last 30 days

Models Tracked
30
Avg Tokens / Second
12.08
Avg Time to First Token (ms)
14513.00
Last Updated
Oct 17, 2026

All venice models

30 live · one row per model · fastest first · 3 folded behind their current lane
ModelAvg Toks/SecMinMaxAvg TTF (ms)
Qwen3 Coder 480B A35B44.2044.2044.20730.00
Mistral Small 3.2 24B32.0012.5051.50510.00
Uncensored28.1028.1028.10630.00
GLM 5.223.9016.3031.602250.00
Gemma 4 31B23.5021.8024.40610.00
Gemma 4 26B A4B20.903.6037.601400.00
Kimi K2.7 Code18.1011.1030.203000.00
Qwen3 VL 235B A22B Instruct15.8015.8015.80820.00
Qwen3.8 2.4T A95B15.5015.5015.503110.00
MiMo-V2.515.1015.1015.102560.00
MiMo-V2.6-Flash13.4013.4013.402750.00
MiniMax M313.104.3119.605410.00
Qwen3 235B A22B Instruct 250712.406.3921.201690.00
DeepSeek V4 Flash 073110.7010.7010.703730.00
Nemotron 3.5 Super VL9.379.379.376830.00
Qwen3.5-35B-A3B9.129.129.126770.00
DeepSeek V4 Pro 04238.342.1922.7011700.00
DeepSeek V3.27.852.2110.802620.00
Qwen3.6 35B A3B7.146.168.828940.00
Qwen3.5-9B6.966.966.968830.00
DeepSeek V4 Flash 04234.852.158.7414300.00
Kimi K2.54.623.855.4012600.00
Qwen3.5 397B A17B3.842.616.7917800.00
MiniMax M2.53.700.687.8433000.00
Kimi K2.62.280.643.2445400.00
gpt-oss-120b2.242.242.2421700.00
GLM 4.7 Flash1.811.811.8123700.00
GLM 5.11.581.581.5838500.00
Qwen3 235B A22B Thinking 25071.260.721.8060300.00
GLM 4.60.660.660.6693200.00

Frequently Asked Questions

Which venice model is fastest?
Based on recent tests, Qwen3 Coder 480B A35B shows the highest average throughput among tracked venice models.
How many recent measurements feed this dashboard?
This provider summary aggregates 3237 individual prompts measured across 2813 monitoring runs over the past month.