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Same-model provider benchmark

Inceptron vs Venice: LLM provider comparison

Compare Inceptron 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.

Inceptron

4 indexed models

Headquarters
Sweden
Server regions
Finland
Model types
4 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

Venice

2.06× typical advantage

4 exact models with complete recent speed data

Lowest token cost

Inceptron

$1.3042 / 1M

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

Most models available

Venice

29 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricInceptronVenice
Typical 500-token response23.01 s10.92 s
Typical response start1.64 s1.21 s
Typical output speed30.5 tok/s52.5 tok/s
Blended token price$1.3042 / 1M$1.5575 / 1M
Typical route uptime95.65%96.85%

Visual comparison

Price and performance charts

InceptronVenice
500-token response by shared model

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

Venice 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.

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

Shared text models

4 exact models · newest first

ModelInceptronVenice
GLM 5.2Winner · Venice

z-ai/glm-5.2

Inceptron
Blended price
$1.5933 / 1M
500-token response
64.66 s
Response starts
2.16 s
Output speed
8.0 tok/s
Route uptime
94.28%
Context
1M
Route
inceptron/fp4
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
Kimi K2.7 CodeWinner · Venice

moonshotai/kimi-k2.7-code

Inceptron
Blended price
$1.6467 / 1M
500-token response
11.33 s
Response starts
1.13 s
Output speed
49.0 tok/s
Route uptime
99.49%
Context
262.1K
Route
inceptron/int4
Venice
Blended price
$1.6667 / 1M
500-token response
8.94 s
Response starts
1.25 s
Output speed
65.0 tok/s
Route uptime
N/a
Context
256K
Route
venice/int4
Kimi K2.6Winner · Venice

moonshotai/kimi-k2.6

Inceptron
Blended price
$1.5767 / 1M
500-token response
34.33 s
Response starts
3.08 s
Output speed
16.0 tok/s
Route uptime
97.02%
Context
262.1K
Route
inceptron/int4
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
MiniMax M2.5Winner · Inceptron

minimax/minimax-m2.5

Inceptron
Blended price
$0.4 / 1M
500-token response
11.68 s
Response starts
0.57 s
Output speed
45.0 tok/s
Route uptime
99.97%
Context
196.6K
Route
inceptron/fp8
Venice
Blended price
$0.4967 / 1M
500-token response
9.78 s
Response starts
1.16 s
Output speed
58.0 tok/s
Route uptime
N/a
Context
198K
Route
venice

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.

Inceptron vs Venice analysis

How Inceptron and Venice compare for AI inference

Inceptron and Venice share 4 indexed text models, including GLM 5.2, Kimi K2.7 Code, Kimi K2.6, MiniMax M2.5. Venice 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

Inceptron has 4 indexed models and lists 1 published server region; Venice has 29 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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