Venice — pricing & performance
Models served
30
of 947 tracked models
Mean output speed
48
tokens per second, averaged over
29 measured endpoints
29 measured endpoints
Mean latency
1.8s
time to first token, averaged over
29 measured endpoints
29 measured endpoints
Cheapest blended
$0.11
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on Venice
Median output tokens per second for the 29 of 30 models on Venice with published throughput telemetry from OpenRouter. The full table below lists all 30, measured or not. Higher is better. We do not run these measurements ourselves.
The Known Good
30 models on Venice
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
|
|
DeepSeek | $0.33 | $0.48 | $0.37 | 15 | 0.9s | 160k |
|
|
DeepSeek | $0.14 | $0.28 | $0.17 | 47 | 1.9s | 1.00M |
|
|
DeepSeek | $1.65 | $3.30 | $2.06 | 55 | 1.3s | 1.00M |
|
|
$0.13 | $0.40 | $0.20 | 25 | 1.1s | 256k | |
|
|
$0.12 | $0.36 | $0.18 | 33 | 1.4s | 256k | |
|
|
MiniMax | $0.27 | $0.95 | $0.44 | — | — | 198k |
|
|
MiniMax | $0.30 | $1.20 | $0.53 | 94 | 1.2s | 524k |
|
|
Mistral | $0.094 | $0.25 | $0.13 | 47 | 0.5s | 256k |
|
|
Mistral | $0.19 | $0.75 | $0.33 | 82 | 0.6s | 256k |
|
|
Moonshot AI | $0.56 | $3.50 | $1.29 | 66 | 1.1s | 256k |
|
|
Moonshot AI | $0.75 | $3.50 | $1.44 | 36 | 1.0s | 256k |
|
|
Moonshot AI | $0.75 | $3.50 | $1.44 | 49 | 1.5s | 256k |
|
|
NVIDIA | $0.62 | $3.12 | $1.25 | 45 | 5.1s | 256k |
|
|
Alibaba | $0.15 | $0.75 | $0.30 | 11 | 0.7s | 128k |
|
|
Alibaba | $0.45 | $3.50 | $1.21 | 30 | 1.0s | 128k |
|
|
Alibaba | $0.35 | $1.50 | $0.64 | 67 | 0.5s | 256k |
|
|
Alibaba | $0.21 | $1.90 | $0.63 | 29 | 1.2s | 128k |
|
|
Alibaba | $0.75 | $4.50 | $1.69 | 44 | 1.7s | 128k |
|
|
Alibaba | $0.31 | $1.25 | $0.55 | 81 | 2.5s | 256k |
|
|
Alibaba | $0.10 | $0.15 | $0.11 | 58 | 0.8s | 256k |
|
|
Alibaba | $0.33 | $3.25 | $1.06 | 45 | 0.5s | 256k |
|
|
Alibaba | $0.10 | $1.00 | $0.33 | 125 | 0.7s | 256k |
| Co Venice: Uncensored | cognitivecomputations | $0.20 | $0.90 | $0.38 | 83 | 0.7s | 128k |
| Mi Xiaomi: MiMo-V2.5 | Xiaomi | $0.14 | $0.28 | $0.17 | 22 | 1.1s | 1.00M |
|
|
Z.ai | $0.43 | $1.75 | $0.76 | 18 | 1.2s | 198k |
|
|
Z.ai | $0.55 | $2.65 | $1.07 | 33 | 1.2s | 198k |
|
|
Z.ai | $0.12 | $0.50 | $0.22 | 4 | 15.7s | 128k |
|
|
Z.ai | $1.00 | $3.20 | $1.55 | 38 | 1.2s | 198k |
|
|
Z.ai | $1.54 | $4.84 | $2.37 | 64 | 1.1s | 200k |
|
|
Z.ai | $1.40 | $4.40 | $2.15 | 35 | 2.0s | 1.00M |
The Known Good
Source. Prices, endpoint availability and throughput for Venice are ingested from OpenRouter;
model metadata is enriched from models.dev. A blank cell means the figure was not published for that endpoint —
it never means zero. Blended price is (3 × input + output) ÷ 4, the same 3:1 blend used everywhere on this
site; see methodology. Quality scores are not provider-specific:
a model scores the same wherever it is hosted, so quality lives on the
model pages.