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Same-model provider benchmark

AtlasCloud vs Google Vertex: LLM provider comparison

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

AtlasCloud

31 indexed models

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

Google Vertex

49 indexed models

Headquarters
United States
Server regions
europe-west1 · Belgiumeurope-west4 · NetherlandsGlobalus-central1 · United Statesus-east5 · United Statesus-south1 · United Statesus-west2 · United States
Model types
36 text, 6 image, 3 video, 2 embeddings, 1 speech, 1 transcription

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

2.33× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$0.5517 / 1M

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

Most models available

49 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricAtlasCloudGoogle Vertex
Typical 500-token response17.42 s6.51 s
Typical response start1.29 s0.63 s
Typical output speed31.0 tok/s94.0 tok/s
Blended token price$0.5517 / 1M$0.8683 / 1M
Typical route uptime97.02%99.96%

Visual comparison

Price and performance charts

AtlasCloudGoogle Vertex
500-token response by shared model

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

Google Vertex has the lower typical same-model response ratio across 3 measured models.

Blended token price by shared model

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

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

Shared text models

4 exact models · newest first

ModelAtlasCloudGoogle Vertex
GLM 4.7Winner · Google Vertex

z-ai/glm-4.7

AtlasCloud
Blended price
$0.9633 / 1M
500-token response
19.68 s
Response starts
1.82 s
Output speed
28.0 tok/s
Route uptime
92.66%
Context
202.8K
Route
atlas-cloud/fp8
Google Vertex
Blended price
$1.1333 / 1M
500-token response
4.55 s
Response starts
0.45 s
Output speed
122.0 tok/s
Route uptime
99.97%
Context
200K
Route
google-vertex

deepseek/deepseek-v3.2

AtlasCloud
Blended price
$0.3 / 1M
500-token response
23.21 s
Response starts
1.47 s
Output speed
23.0 tok/s
Route uptime
99.94%
Context
163.8K
Route
atlas-cloud/fp8
Google Vertex
Blended price
$0.9333 / 1M
500-token response
N/a
Response starts
N/a
Output speed
N/a
Route uptime
N/a
Context
163.8K
Route
google-vertex
DeepSeek V3.1Winner · Google Vertex

deepseek/deepseek-chat-v3.1

AtlasCloud
Blended price
$0.5167 / 1M
500-token response
15.15 s
Response starts
1.26 s
Output speed
36.0 tok/s
Route uptime
97.02%
Context
131.1K
Route
atlas-cloud/fp8
Google Vertex
Blended price
$0.9667 / 1M
500-token response
6.51 s
Response starts
1.19 s
Output speed
94.0 tok/s
Route uptime
99.89%
Context
163.8K
Route
google-vertex/us-west2
Qwen3 235B A22B Instruct 2507Winner · AtlasCloud

qwen/qwen3-235b-a22b-2507

AtlasCloud
Blended price
$0.4267 / 1M
500-token response
17.42 s
Response starts
1.29 s
Output speed
31.0 tok/s
Route uptime
99.97%
Context
131.1K
Route
atlas-cloud/fp8
Google Vertex
Blended price
$0.44 / 1M
500-token response
26.28 s
Response starts
0.63 s
Output speed
19.5 tok/s
Route uptime
99.96%
Context
262.1K
Route
google-vertex/us-south1

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.

AtlasCloud vs Google Vertex analysis

How AtlasCloud and Google Vertex compare for AI inference

AtlasCloud and Google Vertex share 4 indexed text models, including GLM 4.7, DeepSeek V3.2, DeepSeek V3.1, Qwen3 235B A22B Instruct 2507. Google Vertex has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

3 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

AtlasCloud has 31 indexed models and lists no published server regions; Google Vertex has 49 models and lists 7 regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.