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Same-model provider benchmark

Google Vertex vs Parasail: LLM provider comparison

Compare Google Vertex and Parasail on 7 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

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

Parasail

35 indexed models

Headquarters
United States
Server regions
N/a
Model types
34 text, 1 embeddings

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

1.04× typical advantage

6 exact models with complete recent speed data

Lowest token cost

$0.329 / 1M

7 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

MetricGoogle VertexParasail
Typical 500-token response9.39 s10.11 s
Typical response start0.50 s0.50 s
Typical output speed61.5 tok/s52.5 tok/s
Blended token price$0.4124 / 1M$0.329 / 1M
Typical route uptime99.98%99.73%

Visual comparison

Price and performance charts

Google VertexParasail
500-token response by shared model

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

Parasail has the lower typical same-model response ratio across 6 measured models.

Blended token price by shared model

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

Parasail has the lower typical price ratio across 7 priced shared models.

Shared text models

7 exact models · newest first

ModelGoogle VertexParasail
Gemma 4 26B A4BWinner · Parasail

google/gemma-4-26b-a4b-it

Google Vertex
Blended price
$0.3 / 1M
500-token response
24.23 s
Response starts
0.42 s
Output speed
21.0 tok/s
Route uptime
97.94%
Context
262.1K
Route
google-vertex/global
Parasail
Blended price
$0.22 / 1M
500-token response
17.86 s
Response starts
0.61 s
Output speed
29.0 tok/s
Route uptime
98.97%
Context
262.1K
Route
parasail/bf16
Qwen3 Next 80B A3B InstructWinner · Google Vertex

qwen/qwen3-next-80b-a3b-instruct

Google Vertex
Blended price
$0.5 / 1M
500-token response
3.71 s
Response starts
0.58 s
Output speed
160.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
google-vertex/global
Parasail
Blended price
$0.4333 / 1M
500-token response
8.15 s
Response starts
0.80 s
Output speed
68.0 tok/s
Route uptime
99.93%
Context
262.1K
Route
parasail/fp8
gpt-oss-120bWinner · Google Vertex

openai/gpt-oss-120b

Google Vertex
Blended price
$0.18 / 1M
500-token response
6.83 s
Response starts
0.42 s
Output speed
78.0 tok/s
Route uptime
95.91%
Context
131.1K
Route
google-vertex/global
Parasail
Blended price
$0.3167 / 1M
500-token response
9.13 s
Response starts
0.51 s
Output speed
58.0 tok/s
Route uptime
92.57%
Context
131.1K
Route
parasail/fp4

openai/gpt-oss-20b

Google Vertex
Blended price
$0.13 / 1M
500-token response
N/a
Response starts
N/a
Output speed
N/a
Route uptime
N/a
Context
131.1K
Route
google-vertex/us-central1
Parasail
Blended price
$0.0933 / 1M
500-token response
8.09 s
Response starts
0.52 s
Output speed
66.0 tok/s
Route uptime
98.25%
Context
131.1K
Route
parasail/fp4

qwen/qwen3-235b-a22b-2507

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
Parasail
Blended price
$0.36 / 1M
500-token response
16.05 s
Response starts
0.42 s
Output speed
32.0 tok/s
Route uptime
99.90%
Context
131.1K
Route
parasail/fp8
Llama 4 MaverickWinner · Parasail

meta-llama/llama-4-maverick

Google Vertex
Blended price
$0.6167 / 1M
500-token response
11.96 s
Response starts
0.85 s
Output speed
45.0 tok/s
Route uptime
100.00%
Context
524.3K
Route
google-vertex/us-east5
Parasail
Blended price
$0.5667 / 1M
500-token response
8.96 s
Response starts
0.48 s
Output speed
59.0 tok/s
Route uptime
100.00%
Context
524.3K
Route
parasail/fp8
Llama 3.3 70B InstructWinner · Parasail

meta-llama/llama-3.3-70b-instruct

Google Vertex
Blended price
$0.72 / 1M
500-token response
6.50 s
Response starts
0.25 s
Output speed
80.0 tok/s
Route uptime
100.00%
Context
128K
Route
google-vertex
Parasail
Blended price
$0.3133 / 1M
500-token response
11.10 s
Response starts
0.46 s
Output speed
47.0 tok/s
Route uptime
99.56%
Context
131.1K
Route
parasail/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.

Google Vertex vs Parasail analysis

How Google Vertex and Parasail compare for AI inference

Google Vertex and Parasail share 7 indexed text models, including Gemma 4 26B A4B, Qwen3 Next 80B A3B Instruct, gpt-oss-120b, gpt-oss-20b, Qwen3 235B A22B Instruct 2507. Parasail has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

6 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

7 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

Google Vertex has 49 indexed models and lists 7 published server regions; Parasail has 35 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.