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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 1 October 2026

Venice serves 35 tracked models through 35 endpoints as of 1 October 2026; the highest-ranked is GLM 5.3 (ModelCap Index #11); mean measured uptime is 95.38%.

Models served
35
On the ModelCap Index
20
Cheapest output price
$0.15/1M

Language models on Venice (35)

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 5.3Z.ai#1180.9$1.40$4.401M——1
2DeepSeek V4.1 FlashDeepSeek#1579.3$0.375$1.501Mfp899.71%1Open weights
3GLM 5.3 FlashZ.ai#1778.9$0.15$0.501M—99.91%1Open weights
4DeepSeek V4 Pro 0813DeepSeek#2476.4$1.65$4.951M——1Open weights
5MiMo-V2.6-FlashXiaomi#2575.7$0.175$0.351Mfp899.09%1Open weights
6Gemma 4 31BGoogle#2872.9$0.12$0.36256Kfp499.55%1Open weights
7Qwen3.8 27BQwen#3968.9$0.45$3.20262Kfp899.86%1Open weights
8MiniMax M3MiniMax#4068.5$0.30$1.20524Kfp898.98%1
9Gemma 4 26B A4BGoogle#4168.4$0.13$0.40256Kbf1699.92%1Open weights
10Qwen3.5 397B A17BQwen#4368.0$0.75$4.50128K—100.0%1Open weights
11MiMo-V2.5Xiaomi#4468.0$0.40$2.001Mfp899.63%1Open weights
12Kimi K2.7 CodeMoonshot AI#4965.9$0.75$3.50256Kint483.50%1
13Qwen3 235B A22B Instruct 2507Qwen#6462.1$0.15$0.75128Kfp899.05%1Open weights
14DeepSeek V3.2DeepSeek#6661.7$0.268$0.39160K—100.0%1Open weights
15Qwen3.6 35B A3BQwen#7260.7$0.10$1.00256Kfp899.81%1Open weights
16Qwen3 VL 235B A22B InstructQwen#7859.5$0.21$1.90128Kfp899.17%1Open weights
17Qwen3.5-9BQwen#9554.9$0.10$0.15256Kfp899.62%1Open weights
18Qwen3 235B A22B Thinking 2507Qwen#9654.8$0.45$3.50128Kfp870.89%1Open weights
19Qwen3 Coder 480B A35BQwen#11551.9$0.35$1.50256Kfp880.00%1Open weights
20Mistral Small 3.2 24BMistral AI#14143.1$0.094$0.25256Kfp898.44%1Open weights
21Nemotron 3 UltraNVIDIA—$0.625$3.13256Kfp873.33%1
22DeepSeek V4 Flash 0423DeepSeek—$0.097$0.1931M—98.67%1Open weights
23DeepSeek V4 Flash 0731DeepSeek—$0.175$0.351M—99.41%1Open weights
24DeepSeek V4 Pro 0423DeepSeek—$1.65$3.301M—99.76%1Open weights
25GLM 4.6Z.ai—$0.43$1.75198Kfp499.65%1Open weights
26GLM 4.7Z.ai—$0.40$1.93198Kfp467.72%1Open weights
27GLM 4.7 FlashZ.ai—$0.06$0.40128Kfp899.81%1Open weights
28GLM 5Z.ai—$1.00$3.20198Kfp897.93%1Open weights
29GLM 5.1Z.ai—$1.40$4.40200Kfp8100.0%1Open weights
30GLM 5.2Z.ai—$1.40$4.401Mfp8100.0%1Open weights
31Kimi K2.5Moonshot AI—$0.532$3.32256K—98.04%1
32Kimi K2.6Moonshot AI—$0.75$3.50256Kint498.09%1
33MiniMax M2.5MiniMax—$0.27$0.95198K—100.0%1
34Qwen3.5-35B-A3BQwen—$0.313$1.25256K——1Open weights
35Qwen3.6 27BQwen—$0.325$3.25256Kfp892.51%1Open weights

Venice on ModelCap: common questions

How many AI models does Venice serve?

35 tracked models as of 1 October 2026: 35 language models (20 with a public ModelCap Index position), across 35 live endpoints observed through OpenRouter.

What is the best model available on Venice?

GLM 5.3 from Z.ai is the highest-ranked language model Venice serves, at ModelCap Index position #11 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 5.3 Flash, 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 95.38% 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?

This page uses the published ModelCap snapshot dated 1 October 2026. Publication and page updates happen separately. Offers retained from a failed refresh are marked stale in the data and are not counted here.

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