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Same-model provider benchmark

Baseten vs Venice: LLM provider comparison

Compare Baseten and Venice on 4 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Baseten

5 indexed models

Headquarters
United States
Server regions
N/a
Model types
5 text

Venice

29 indexed models

Headquarters
United States
Server regions
United States
Model types
29 text

At a glance

Metric winners

There is no overall score. Each winner answers one specific question using only directly comparable data.

Fastest on shared models

1.93× typical advantage

4 exact models with complete recent speed data

Lowest token cost

$2.2268 / 1M

4 exact models using a 1K-input/500-output mix

Most models available

29 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricBasetenVenice
Typical 500-token response7.61 s14.47 s
Typical response start1.59 s1.44 s
Typical output speed83.5 tok/s38.0 tok/s
Blended token price$2.2467 / 1M$2.2268 / 1M
Typical route uptime99.97%94.48%

Visual comparison

Price and performance charts

BasetenVenice
500-token response by shared model

Estimated seconds using recent median response-start and output-speed data. Lower is better.

Baseten has the lower typical same-model response ratio across 4 measured models.

Blended token price by shared model

USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.

Venice has the lower typical price ratio across 4 priced shared models.

Shared text models

4 exact models · newest first

ModelBasetenVenice
GLM 5.2Winner · Baseten

z-ai/glm-5.2

Baseten
Blended price
$2.4 / 1M
500-token response
5.86 s
Response starts
0.24 s
Output speed
89.0 tok/s
Route uptime
100.00%
Context
256K
Route
baseten/fp8
Venice
Blended price
$2.4 / 1M
500-token response
14.33 s
Response starts
1.17 s
Output speed
38.0 tok/s
Route uptime
94.48%
Context
1M
Route
venice/fp8
DeepSeek V4 ProWinner · Baseten

deepseek/deepseek-v4-pro

Baseten
Blended price
$2.32 / 1M
500-token response
6.07 s
Response starts
0.45 s
Output speed
89.0 tok/s
Route uptime
99.97%
Context
262.1K
Route
baseten/fp4
Venice
Blended price
$2.2003 / 1M
500-token response
28.55 s
Response starts
2.23 s
Output speed
19.0 tok/s
Route uptime
99.91%
Context
1M
Route
venice
Kimi K2.6Winner · Venice

moonshotai/kimi-k2.6

Baseten
Blended price
$1.9667 / 1M
500-token response
18.00 s
Response starts
3.51 s
Output speed
34.5 tok/s
Route uptime
N/a
Context
262K
Route
baseten/fp4
Venice
Blended price
$1.6667 / 1M
500-token response
12.06 s
Response starts
1.43 s
Output speed
47.0 tok/s
Route uptime
99.22%
Context
256K
Route
venice/int4
GLM 5.1Winner · Baseten

z-ai/glm-5.1

Baseten
Blended price
$2.3 / 1M
500-token response
9.15 s
Response starts
2.74 s
Output speed
78.0 tok/s
Route uptime
96.53%
Context
202.8K
Route
baseten/fp4
Venice
Blended price
$2.64 / 1M
500-token response
14.61 s
Response starts
1.46 s
Output speed
38.0 tok/s
Route uptime
88.98%
Context
200K
Route
venice/fp8

A per-model winner combines blended price and estimated 500-token response time with equal proportional weight. Ties and rows missing either measurement receive no badge. Comparison data calculated . Values use one deterministic route per provider and model; missing measurements remain visible as N/a.

Baseten vs Venice analysis

How Baseten and Venice compare for AI inference

Baseten and Venice share 4 indexed text models, including GLM 5.2, DeepSeek V4 Pro, Kimi K2.6, GLM 5.1. Baseten has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

4 shared models currently have complete response-start and output-speed measurements on both providers. The speed comparison uses per-model ratios before taking the median, so naturally faster model catalogs do not improve the result.

Token pricing on one workload

4 shared models have complete input and output prices on both providers. Prices use the same 1,000-input/500-output-token mix and are normalized to one million tokens for readability.

Catalog and deployment differences

Baseten has 5 indexed models and lists no published server regions; Venice has 29 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.