Greenference
Open-weight LLMs with Zero Data Retention, full GDPR compliance and European Union located servers.
Greenference sells inference on Liquid Inference. A buyer names one of its models as greenference/<model>, or names the model and pays the lowest offer that meets the buyer's rules.
Facts
- Handle
- greenference
- Website
- https://greenference.com/
- Terms of service
- https://greenference.com/legal/terms
- Privacy policy
- https://greenference.com/legal/privacy
- Status page
- https://greenference.com/status
- On the exchange since
- 2026-10-08
- Models
- 10
- Offers
- 10
- Regions
- eu-central
- Precisions (declared)
- fp8
- Lowest price on
- 7 of 10 models
Reliability, last 3 days
- Probes answered
- 0.00%
- Hours with an answer
- 0.0%
Checked by the exchange
0 of 10 offers match the fingerprint of the model. 0 have a finished evaluation.
The exchange sends fixed prompts to each offer and compares the answers with a baseline for the model. It also runs benchmarks against the offers and keeps the results.
Data handling
- Zero retention, declared by the provider
- No training, declared by the provider
Models
- Gemma 4 31B It: declared precision fp8, eu-central, $0.171 input and $0.483 output per million tokens, $0.066 cache read per million tokens, 131.1K tokens of context
- GLM 4.7 Flash: declared precision fp8, eu-central, $0.081 input and $0.469 output per million tokens, $0.016 cache read per million tokens, 202.8K tokens of context
- GLM 5.3 Flash: declared precision fp8, eu-central, $0.115 input and $0.460 output per million tokens, $0.023 cache read per million tokens, 1M tokens of context
- GPT: OSS 20B: declared precision fp8, eu-central, $0.010 input and $0.052 output per million tokens, $0.0052 cache read per million tokens, 32.8K tokens of context
- Qwen 3 14B: declared precision fp8, eu-central, $0.087 input and $0.262 output per million tokens, $0.044 cache read per million tokens, 16.4K tokens of context
- Qwen 3 30B a3b: declared precision fp8, eu-central, $0.109 input and $0.328 output per million tokens, $0.055 cache read per million tokens, 8,192 tokens of context
- Qwen 3 32B: declared precision fp8, eu-central, $0.109 input and $0.328 output per million tokens, $0.055 cache read per million tokens, 16.4K tokens of context
- Qwen 3 8B: declared precision fp8, eu-central, $0.092 input and $0.287 output per million tokens, $0.046 cache read per million tokens, 32.8K tokens of context
- Qwen 3.5 9B: declared precision fp8, eu-central, $0.046 input and $0.075 output per million tokens, $0.023 cache read per million tokens, 16.4K tokens of context
- Qwen 3.6 27B: declared precision fp8, eu-central, $0.172 input and $1.552 output per million tokens, $0.086 cache read per million tokens, 16.4K tokens of context