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Same-model provider benchmark

AtlasCloud vs SambaNova: LLM provider comparison

Compare AtlasCloud and SambaNova on 3 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

SambaNova

6 indexed models

Headquarters
United States
Server regions
N/a
Model types
6 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

1.26× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$0.4722 / 1M

3 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

MetricAtlasCloudSambaNova
Typical 500-token response15.96 s12.05 s
Typical response start1.47 s2.10 s
Typical output speed35.0 tok/s46.0 tok/s
Blended token price$0.4722 / 1M$1.8778 / 1M
Typical route uptime97.51%91.79%

Visual comparison

Price and performance charts

AtlasCloudSambaNova
500-token response by shared model

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

SambaNova 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 3 priced shared models.

Shared text models

3 exact models · newest first

ModelAtlasCloudSambaNova
MiniMax M2.7Winner · AtlasCloud

minimax/minimax-m2.7

AtlasCloud
Blended price
$0.6 / 1M
500-token response
15.96 s
Response starts
1.67 s
Output speed
35.0 tok/s
Route uptime
98.00%
Context
196.6K
Route
atlas-cloud/fp8
SambaNova
Blended price
$1.2 / 1M
500-token response
10.16 s
Response starts
2.10 s
Output speed
62.0 tok/s
Route uptime
91.21%
Context
196.6K
Route
sambanova
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
SambaNova
Blended price
$3.5 / 1M
500-token response
28.00 s
Response starts
4.19 s
Output speed
21.0 tok/s
Route uptime
N/a
Context
32.8K
Route
sambanova
DeepSeek V3.1Winner · AtlasCloud

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
SambaNova
Blended price
$0.9333 / 1M
500-token response
12.05 s
Response starts
1.18 s
Output speed
46.0 tok/s
Route uptime
92.37%
Context
131.1K
Route
sambanova/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.

AtlasCloud vs SambaNova analysis

How AtlasCloud and SambaNova compare for AI inference

AtlasCloud and SambaNova share 3 indexed text models, including MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1. SambaNova 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

3 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; SambaNova has 6 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.