Skip to content

Same-model provider benchmark

AtlasCloud vs Friendli: LLM provider comparison

Compare AtlasCloud and Friendli on 5 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

Friendli

5 indexed models

Headquarters
United States
Server regions
N/a
Model types
5 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

1.74× typical advantage

5 exact models with complete recent speed data

Lowest token cost

$1.1287 / 1M

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

Most models available

31 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricAtlasCloudFriendli
Typical 500-token response17.42 s5.41 s
Typical response start1.47 s0.57 s
Typical output speed31.0 tok/s112.0 tok/s
Blended token price$1.1287 / 1M$1.3267 / 1M
Typical route uptime99.27%99.08%

Visual comparison

Price and performance charts

AtlasCloudFriendli
500-token response by shared model

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

Friendli has the lower typical same-model response ratio across 5 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 5 priced shared models.

Shared text models

5 exact models · newest first

ModelAtlasCloudFriendli
GLM 5.2Winner · Friendli

z-ai/glm-5.2

AtlasCloud
Blended price
$2.16 / 1M
500-token response
15.37 s
Response starts
1.86 s
Output speed
37.0 tok/s
Route uptime
98.60%
Context
1M
Route
atlas-cloud/fp8
Friendli
Blended price
$2.4 / 1M
500-token response
4.64 s
Response starts
0.57 s
Output speed
123.0 tok/s
Route uptime
99.88%
Context
1M
Route
friendli
GLM 5.1Winner · Friendli

z-ai/glm-5.1

AtlasCloud
Blended price
$2.16 / 1M
500-token response
22.49 s
Response starts
3.26 s
Output speed
26.0 tok/s
Route uptime
85.25%
Context
202.8K
Route
atlas-cloud/fp8
Friendli
Blended price
$2.4 / 1M
500-token response
5.41 s
Response starts
0.95 s
Output speed
112.0 tok/s
Route uptime
97.46%
Context
202.8K
Route
friendli
MiniMax M2.5Winner · Friendli

minimax/minimax-m2.5

AtlasCloud
Blended price
$0.5967 / 1M
500-token response
7.97 s
Response starts
1.12 s
Output speed
73.0 tok/s
Route uptime
N/a
Context
196.6K
Route
atlas-cloud/fp8
Friendli
Blended price
$0.6 / 1M
500-token response
4.57 s
Response starts
0.57 s
Output speed
125.0 tok/s
Route uptime
N/a
Context
196.6K
Route
friendli
DeepSeek V3.2Winner · AtlasCloud

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
Friendli
Blended price
$0.8333 / 1M
500-token response
16.17 s
Response starts
1.02 s
Output speed
33.0 tok/s
Route uptime
99.39%
Context
163.8K
Route
friendli

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
Friendli
Blended price
$0.4 / 1M
500-token response
17.66 s
Response starts
0.42 s
Output speed
29.0 tok/s
Route uptime
98.77%
Context
262.1K
Route
friendli

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 Friendli analysis

How AtlasCloud and Friendli compare for AI inference

AtlasCloud and Friendli share 5 indexed text models, including GLM 5.2, GLM 5.1, MiniMax M2.5, DeepSeek V3.2, Qwen3 235B A22B Instruct 2507. Friendli has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

5 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

5 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; Friendli has 5 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.