Skip to content
ProviderBench home

Same-model provider benchmark

DeepInfra vs Inceptron: LLM provider comparison

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

DeepInfra

87 indexed models

Headquarters
United States
Server regions
N/a
Model types
67 text, 15 embeddings, 5 speech

Inceptron

4 indexed models

Headquarters
Sweden
Server regions
Finland
Model types
4 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

DeepInfra

1.24× 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

DeepInfra

87 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricDeepInfraInceptron
Typical 500-token response14.38 s23.01 s
Typical response start0.85 s1.64 s
Typical output speed37.5 tok/s30.5 tok/s
Blended token price$1.3575 / 1M$1.3042 / 1M
Typical route uptime100.00%99.49%

Visual comparison

Price and performance charts

DeepInfraInceptron
500-token response by shared model

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

DeepInfra 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

ModelDeepInfraInceptron
GLM 5.2Winner · DeepInfra

z-ai/glm-5.2

DeepInfra
Blended price
$1.62 / 1M
500-token response
42.37 s
Response starts
0.70 s
Output speed
12.0 tok/s
Route uptime
N/a
Context
1M
Route
deepinfra/fp4
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
Kimi K2.7 CodeWinner · Inceptron

moonshotai/kimi-k2.7-code

DeepInfra
Blended price
$1.66 / 1M
500-token response
15.92 s
Response starts
0.77 s
Output speed
33.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
deepinfra/fp4
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
Kimi K2.6Winner · DeepInfra

moonshotai/kimi-k2.6

DeepInfra
Blended price
$1.6667 / 1M
500-token response
12.84 s
Response starts
0.93 s
Output speed
42.0 tok/s
Route uptime
99.94%
Context
262.1K
Route
deepinfra/fp4
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
MiniMax M2.5Winner · Inceptron

minimax/minimax-m2.5

DeepInfra
Blended price
$0.4833 / 1M
500-token response
11.21 s
Response starts
1.01 s
Output speed
49.0 tok/s
Route uptime
100.00%
Context
196.6K
Route
deepinfra/fp8
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

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.

DeepInfra vs Inceptron analysis

How DeepInfra and Inceptron compare for AI inference

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

DeepInfra has 87 indexed models and lists no published server regions; Inceptron has 4 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.

Related same-model benchmarks

Compare with other providers

Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both DeepInfra and Inceptron.

DeepInfra vs NovitaAI

45 shared model benchmarks

Inceptron vs AtlasCloud

4 shared model benchmarks

DeepInfra vs Venice

26 shared model benchmarks

Inceptron vs Parasail

4 shared model benchmarks

DeepInfra vs SiliconFlow

23 shared model benchmarks

Inceptron vs Weights & Biases

4 shared model benchmarks