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Same-model provider benchmark

DeepInfra vs Google Vertex: LLM provider comparison

Compare DeepInfra and Google Vertex on 12 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

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

1.43× typical advantage

10 exact models with complete recent speed data

Lowest token cost

$0.3237 / 1M

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

Most models available

87 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricDeepInfraGoogle Vertex
Typical 500-token response17.94 s9.39 s
Typical response start0.44 s0.53 s
Typical output speed31.0 tok/s61.5 tok/s
Blended token price$0.3237 / 1M$0.5889 / 1M
Typical route uptime99.62%99.97%

Visual comparison

Price and performance charts

DeepInfraGoogle 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 10 measured models.

Blended token price by shared model

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

DeepInfra has the lower typical price ratio across 12 priced shared models.

Shared text models

12 exact models · newest first

ModelDeepInfraGoogle Vertex
Gemma 4 26B A4BWinner · DeepInfra

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

DeepInfra
Blended price
$0.16 / 1M
500-token response
22.23 s
Response starts
0.49 s
Output speed
23.0 tok/s
Route uptime
99.62%
Context
262.1K
Route
deepinfra/fp8
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
GLM 4.7Winner · Google Vertex

z-ai/glm-4.7

DeepInfra
Blended price
$0.85 / 1M
500-token response
13.65 s
Response starts
0.83 s
Output speed
39.0 tok/s
Route uptime
99.92%
Context
202.8K
Route
deepinfra/fp4
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

DeepInfra
Blended price
$0.3 / 1M
500-token response
42.39 s
Response starts
0.73 s
Output speed
12.0 tok/s
Route uptime
83.26%
Context
163.8K
Route
deepinfra/fp4
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
Qwen3 Next 80B A3B InstructWinner · Google Vertex

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

DeepInfra
Blended price
$0.4267 / 1M
500-token response
12.34 s
Response starts
0.71 s
Output speed
43.0 tok/s
Route uptime
91.50%
Context
262.1K
Route
deepinfra/fp8
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
DeepSeek V3.1Winner · Google Vertex

deepseek/deepseek-chat-v3.1

DeepInfra
Blended price
$0.4833 / 1M
500-token response
42.51 s
Response starts
0.85 s
Output speed
12.0 tok/s
Route uptime
99.78%
Context
163.8K
Route
deepinfra/fp4
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
gpt-oss-120bWinner · DeepInfra

openai/gpt-oss-120b

DeepInfra
Blended price
$0.0813 / 1M
500-token response
12.10 s
Response starts
0.47 s
Output speed
43.0 tok/s
Route uptime
94.64%
Context
131.1K
Route
deepinfra/bf16
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

openai/gpt-oss-20b

DeepInfra
Blended price
$0.0667 / 1M
500-token response
5.15 s
Response starts
0.35 s
Output speed
104.0 tok/s
Route uptime
99.78%
Context
131.1K
Route
deepinfra/bf16
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
Qwen3 Coder 480B A35BWinner · DeepInfra

qwen/qwen3-coder

DeepInfra
Blended price
$0.5333 / 1M
500-token response
7.51 s
Response starts
0.36 s
Output speed
70.0 tok/s
Route uptime
99.84%
Context
262.1K
Route
deepinfra/turbo
Google Vertex
Blended price
$0.7467 / 1M
500-token response
91.58 s
Response starts
14.66 s
Output speed
6.5 tok/s
Route uptime
N/a
Context
262.1K
Route
google-vertex/us-south1

qwen/qwen3-235b-a22b-2507

DeepInfra
Blended price
$0.2433 / 1M
500-token response
26.72 s
Response starts
0.40 s
Output speed
19.0 tok/s
Route uptime
98.78%
Context
262.1K
Route
deepinfra/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
Llama 4 MaverickWinner · DeepInfra

meta-llama/llama-4-maverick

DeepInfra
Blended price
$0.4 / 1M
500-token response
13.13 s
Response starts
0.31 s
Output speed
39.0 tok/s
Route uptime
99.97%
Context
1M
Route
deepinfra/base
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
Llama 4 ScoutWinner · DeepInfra

meta-llama/llama-4-scout

DeepInfra
Blended price
$0.1667 / 1M
500-token response
38.82 s
Response starts
0.36 s
Output speed
13.0 tok/s
Route uptime
99.87%
Context
327.7K
Route
deepinfra/fp8
Google Vertex
Blended price
$0.4 / 1M
500-token response
71.91 s
Response starts
0.48 s
Output speed
7.0 tok/s
Route uptime
100.00%
Context
1.3M
Route
google-vertex/us-east5
Llama 3.3 70B InstructWinner · Google Vertex

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

DeepInfra
Blended price
$0.1733 / 1M
500-token response
31.59 s
Response starts
0.34 s
Output speed
16.0 tok/s
Route uptime
98.39%
Context
131.1K
Route
deepinfra/turbo
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

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 Google Vertex analysis

How DeepInfra and Google Vertex compare for AI inference

DeepInfra and Google Vertex share 12 indexed text models, including Gemma 4 26B A4B, GLM 4.7, DeepSeek V3.2, Qwen3 Next 80B A3B Instruct, DeepSeek V3.1. Google Vertex has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

10 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

12 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; Google Vertex has 49 models and lists 7 regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.