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ModelCap

Inference provider

Venice: AI models and API pricing

Every tracked model Venice serves through OpenRouter, with Venice's own input and output price per 1M tokens, the context window it serves, disclosed quantization and measured endpoint uptime. Rows link to the model page, where every provider's deployment is listed side by side.

Snapshot as of 11 August 2026

Venice serves 23 tracked models through 23 endpoints as of 11 August 2026; the highest-ranked is GLM 5.2 (ModelCap Index #13); mean measured uptime is 92.00%.

Models served
23
On the ModelCap Index
15
Cheapest output price
$0.15/1M

Language models on Venice (23)

Ranked models first, in ModelCap Index order. Prices are the lowest Venice lists for the model; the endpoint count shows how many deployments carry it.

Language models served by Venice, with price, context, quantization and uptime
#ModelModelCap IndexInput $/1MOutput $/1MContextQuantizationUptime (30 min)Endpoints
1GLM 5.2Z.ai#1370.5$1.40$4.401Mfp899.60%1Open weights
2Gemma 4 31BGoogle#2062.8$0.12$0.36256Kbf1699.70%1Open weights
3Qwen3.5 397B A17BQwen#2261.6$0.75$4.50128K1Open weights
4MiniMax M3MiniMax#2361.3$0.30$1.20524Kfp899.89%1
5Gemma 4 26B A4BGoogle#2559.2$0.13$0.40256Kbf1698.96%1Open weights
6Qwen3 235B A22B Instruct 2507Qwen#3153.6$0.15$0.75128Kfp899.69%1Open weights
7Qwen3.6 27BQwen#3251.9$0.325$3.25256Kfp852.80%1Open weights
8Qwen3 VL 235B A22B InstructQwen#3451.5$0.21$1.90128Kfp896.74%1Open weights
9Qwen3.6 35B A3BQwen#4146.3$0.098$0.95256Kfp8100.0%1Open weights
10Qwen3 235B A22B Thinking 2507Qwen#4345.3$0.45$3.50128Kfp81Open weights
11Qwen3 Coder 480B A35BQwen#4643.7$0.35$1.50256Kfp81Open weights
12GLM 4.7 FlashZ.ai#6236.2$0.06$0.40128Kfp899.05%1Open weights
13Mistral Small 3.2 24BMistral AI#6832.3$0.094$0.25256Kfp899.94%1Open weights
14Kimi K2.7 CodeMoonshot AI#18921.5$0.75$3.50256Kint4100.0%1
15Nemotron 3 UltraNVIDIA#2202.7$0.625$3.13256Kfp857.12%1
16Qwen3.5-9BQwen$0.10$0.15256Kfp8100.0%1Open weights
17GLM 4.6Z.ai$0.43$1.75198Kfp482.33%1Open weights
18GLM 4.7Z.ai$0.55$2.65198Kfp499.44%1Open weights
19GLM 5Z.ai$1.00$3.20198Kfp81Open weights
20GLM 5.1Z.ai$1.54$4.84200Kfp81Open weights
21Kimi K2.5Moonshot AI$0.56$3.50256K91.91%1
22Kimi K2.6Moonshot AI$0.75$3.50256Kint486.76%1
23Qwen3.5-35B-A3BQwen$0.313$1.25256K1Open weights

Venice on ModelCap: common questions

How many AI models does Venice serve?

23 tracked models as of 11 August 2026: 23 language models (15 with a public ModelCap Index position), across 23 live endpoints observed through OpenRouter.

What is the best model available on Venice?

GLM 5.2 from Z.ai is the highest-ranked language model Venice serves, at ModelCap Index position #13 and $4.40 per 1M output tokens on Venice. The table lists every model in Index order.

What is the cheapest model on Venice?

Qwen3.5-9B at $0.15 per 1M output tokens ($0.10 per 1M input), the lowest positive language-token price Venice lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.

Which Venice model has the largest context window?

GLM 5.2, served with a 1M-token context window on Venice. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.

How reliable is Venice?

Mean measured uptime across Venice endpoints is 92.00% over the last 30 minutes, as reported by OpenRouter at the time of the snapshot. Per-model uptime is in the table; it is a live operational signal, not a service-level guarantee.

Where do the Venice prices come from?

From the OpenRouter catalogue entry for each Venice endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where Venice exposes several deployments of one model at different prices, the table shows the lowest and notes the count; the model page lists each deployment.

How current is this page?

It re-renders within a minute of every dataset refresh; this snapshot was published 11 August 2026. Offers retained from a failed refresh are marked stale in the data and are not counted here.

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