Our take
Venice AI is a US-based host for downloadable models with a privacy-first stance: it does not train on prompts and offers zero-retention inference. Its 35 tracked offers include standout speed on a small NVIDIA model and competitive pricing on select entries, though throughput is uneven and compliance attestations remain unverified.
Use this for privacy-sensitive prototyping where zero-retention matters. Pick it for low-latency work on NVIDIA Nemotron 3.5 Lightning, or for budget small-model inference where Z AI GLM 4 7 Flash has the cheapest input in its own catalogue. Skip it if you need verified SOC 2, a disclosed EU endpoint, or predictable throughput across many models.
- Strongest privacy stance among tracked providers — does not train on prompts and offers a zero-retention option.
- Highest measured throughput on a specific small model: NVIDIA Nemotron 3.5 Lightning at 232.5 tokens per second, roughly 9.7× Mistral Small 3.2 and 21× DeepSeek V3.2.
- Lowest input price in its own catalogue: Z AI GLM 4 7 Flash at half the input price of Google Gemma 4 31B and well below Qwen3 5 9B.
- Compliance and regional documentation gaps: SOC 2 is unverified in our data and no EU endpoint is disclosed.
- Inconsistent throughput with several slow offers — five models below 50 tps, and DeepSeek V3.2 slowest at 11 tps.
- Output pricing on larger models is steep: Mistral Small 4 and Qwen3 235B A22B both charge many multiples above their cheapest entry.
Point your tools here
We have not recorded what a router needs for Venice AI yet — no base URL and no docs link on file. That is our gap, not a sign Venice AI has no API; its own documentation is the place to look until we close it.
Privacy & data handling
These answers cover requests sent to Venice AI through OpenRouter, as OpenRouter records them, last read 58 min ago. For Venice AI's own API we hold no answer: check its terms. SOC 2 and the data processing agreement below are hand-checked, not part of that sync.
Prompt retention: none.