LLMPriceTracker

Venice API pricing

13 Venice models. Source: https://docs.venice.ai/overview/pricing

Provider type
Inference host
Server location (where inference runs)
unknown
Regions
unknown
Company HQ (secondary)
US (outside EU) · Venice.ai; Terms governed by the laws of Wyoming, US (venice.ai/legal/tos). HQ country US per OpenRouter's provider list.
EU data residency
unknown
Residency notes
Venice docs do not publish serving regions. Privacy tiers: Private = zero data retention on Venice-hosted open models; Anonymized = proxied third-party models with identifying metadata stripped; TEE/E2EE = enclave models. OpenRouter's provider list reports HQ US, datacenters US.
Residency source
https://docs.venice.ai/overview/privacy

Primary location is where inference servers run (server region, from the cited source; otherwise 'unknown'). Company HQ is secondary public company information. OpenRouter prices are volatile: refreshed twice daily and excluded from cheapest-price answers.

Blend input:output
ProviderModelInputOutputCached inBlended 3:1* ▲ContextEU residency
Venice
Inference host
OpenAI GPT OSS 120B$0.07$0.30—$0.128—unknown
Venice
Inference host
DeepSeek V4 Flash 0731$0.13$0.26$0.028$0.163—unknown
Venice
Inference host
Google Gemma 4 31B Instruct$0.12$0.36$0.09$0.18—unknown
Venice
Inference host
GLM 5.3 Flash$0.15$0.50$0.03$0.237—unknown
Venice
Inference host
DeepSeek V4.1 Flash$0.30$1.20$0.0075$0.525—unknown
Venice
Inference host
Qwen 3.8 27B (Beta)$0.45$3.20—$1.14—unknown
Venice
Inference host
Llama 3.3 70B$0.70$2.80—$1.22—unknown
Venice
Inference host
Kimi K2.6$0.75$3.50$0.16$1.44—unknown
Venice
Inference host
Kimi K2.7 Code$0.75$3.50$0.16$1.44—unknown
Venice
Inference host
DeepSeek V4 Pro$1.65$3.30$0.33$2.06—unknown
Venice
Inference host
GLM 5.2$1.40$4.40$0.26$2.15—unknown
Venice
Inference host
GLM 5.3$1.75$5.50$0.325$2.69—unknown
Venice
Inference host
Kimi K3$3.75$18.75$0.375$7.50—unknown

Per 1M tokens, standard (non-promo) list prices; short-context / peak tier where tiered. USD unless shown with € or CHF: those are as published and not converted. Click a header to sort. 13 models.
* Blended assumes 3 input tokens for every output token: (3×input + output) / 4. Your real mix will differ, so use the cost calculator with your own token counts for a real estimate.