nikshep@nikshepsvn
venice ($VVV) just had an insane run-up. fair question: is this overvalued?
let me actually do the math
the chart shows venice's daily text inference over time. january started at ~10B tokens/day. today it's ~55-65B/day — a 6x increase in 4.5 months. that's the headline. now let's figure out what it means for the token.
the attached table breaks that same metric down by costcode (each costcode = one model). the AVG column is average tokens/day per model. summed across all 29 visible costcodes you get ~55B/day, which roughly matches the recent bar heights on the chart — so we are using this as a proxy to get the model mix for the current usage
from there the math is straightforward:
- map each costcode to its venice catalog price (routed variants like parasail/deepinfra/openrouter all price at the base model rate)
- blended price = 75% input + 25% output (typical chat/agent mix)
- AVG × 365 × blended price, summed across all models
= ~$52M annualized
but $52M isn't venice's revenue. it's the API-equivalent VALUE of all that text inference if every token was billed at catalog rates. and the reality is more nuanced because venice has multiple ways usage gets paid for:
- Pro ($18/mo): unlimited access to base/open-source models (GLM, Qwen, Mistral) + ~$10/mo of frontier model credits
- Pro+ ($68/mo): ~$75/mo of frontier credits
- Max ($200/mo): ~$2,25/mo of frontier credits
- DIEM holders: perpetual daily credits when locking up VVV supply, $0 cash to venice when consumed
- direct API customers: pay catalog per-token
this is actually clean unit economics. the free unlimited stuff is on cheap-to-serve open-source models. Claude Opus, GPT-5, etc are metered — either via direct API, Pro+/Max credits, or VVV staking. so the expensive inference on the chart (Claude alone = ~$31M of the $52M ceiling) is mostly captured as revenue. the cheap open-source inference is what gets subsidized via Pro
on-chain sanity check: buy-and-burn ran ~162K VVV in 4 months ≈ $2.3M of revenue burned ≈ $7M annualized burns. if burns are 15-30% of revenue, total cash run rate is ~$25-50M. matches voorhees' february commentary (<$48M ARR) plus growth since
put that against the valuation:
- $650M MC = 13-26x revenue
- $1.13B FDV = 23-45x revenue
now compare to the private inference platform peers:
- openrouter: 26x ($50M ARR raising at $1.3B)
- fireworks: 31x ($130M ARR at $4B)
- together AI: ~25x ($130M revenue at $3.3B)
- AI-native private median: 28x
snapshot verdict: venice sits right in the peer band. after a major rally, that's fair value. not cheap, not overpriced. so on multiple alone the run-up looks earned but not deeply mispriced anymore
but the peer comparison falls apart the moment you look at what venice is and what it isn't:
MINIMAL DISTRIBUTION. no enterprise tier, no team plan, no big sales motion. openrouter, fireworks, and together all run real enterprise sales adding 50%+ to ARR. venice is pure self-serve crypto-native / organic distribution. the easy revenue lever literally hasn't been pulled. and they just launched Pro+ and Max tiers in april — the upsell motion is barely started
PRIVACY IS EARLY. with recent breaches and mass usage of AI, the privacy story is only going to get stronger over time. venice is the only architecturally-private inference layer and consumer app on the market — not privacy as policy, privacy as math (TEE + E2EE). that moat compounds with every breach headline and every new regulation
IMAGE, VIDEO, MUSIC AREN'T IN THESE NUMBERS. the $52M ceiling is text only. uncensored image and video are massive markets and venice has the only architecture serving them without retention. adult, creative, political, medical — entire categories where centralized AI structurally can't compete. completely excluded from the math above
AGENT ECONOMY = $0 to minimal TODAY. x402 integration, no-KYC inference, native DIEM-based compute purchasing for autonomous agents. McKinsey projects $3-5T mediated by agents by 2030. venice has the only stack agents can actually use at scale — no KYC, no logging, no censorship. openai and anthropic can't follow without breaking the training data flywheel that funds them
CRYPTO-NATIVE ECONOMICS THE PEERS DON'T HAVE. 69% of supply staked. burns now $2-10 VVV per new Pro sub (up from $1). emissions cut 8M → 6M → 5M, targeting 3M by july. demand sinks scale with users AND revenue (discretionary burns)
SELF-FUNDED, ZERO VC. every peer above raised $300-500M+. venice has no preferred stack to clear
6X VOLUME IN 4.5 MONTHS. faster growth than any peer at comparable ARR scale
so the honest answer: after the rally, venice is fairly valued IF you compare it to openrouter, fireworks, and together AI. but those aren't the right comp set. the right comp is "privacy-moat inference platform with crypto-native economics, agent rails, multimodal expansion runway, and distribution still untouched." that company should trade at a multiple of those peers, not parity
fair today. structurally undervalued forward
caveats:
- $52M API-equivalent is the only number directly observable from the data
- the $30-50M range is reasoned from on-chain burns + X commentary
- chart is text only — image/video/music revenue would add to cash
- DIEM is cash-flow negative for venice (deliberate design)
- private comps are illiquid equity rounds, not liquid tokens
- 75/25 input/output is an assumption
tldr: the rally looks like a lot. the math says it's fair. the math also misses image/video, agents, distribution, and the privacy + crypto-native combination nobody else has. fairly priced today on the wrong comp set. on the right one this is structurally still too cheap
lmk if theres anything i missed / thoughts and questions
