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Same-model provider benchmark

Parasail vs SambaNova: LLM provider comparison

Compare Parasail 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.

Parasail

35 indexed models

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

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

2.04× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$0.2878 / 1M

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

Most models available

35 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricParasailSambaNova
Typical 500-token response11.10 s7.41 s
Typical response start0.51 s2.60 s
Typical output speed47.0 tok/s100.0 tok/s
Blended token price$0.2878 / 1M$0.5489 / 1M
Typical route uptime92.85%98.03%

Visual comparison

Price and performance charts

ParasailSambaNova
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.

Parasail has the lower typical price ratio across 3 priced shared models.

Shared text models

3 exact models · newest first

ModelParasailSambaNova
Gemma 4 31BWinner · SambaNova

google/gemma-4-31b-it

Parasail
Blended price
$0.2333 / 1M
500-token response
29.80 s
Response starts
2.03 s
Output speed
18.0 tok/s
Route uptime
92.85%
Context
262.1K
Route
parasail/fp8
SambaNova
Blended price
$0.6367 / 1M
500-token response
8.65 s
Response starts
3.33 s
Output speed
94.0 tok/s
Route uptime
99.88%
Context
131.1K
Route
sambanova
gpt-oss-120bWinner · Parasail

openai/gpt-oss-120b

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
SambaNova
Blended price
$0.41 / 1M
500-token response
7.41 s
Response starts
2.60 s
Output speed
104.0 tok/s
Route uptime
96.92%
Context
131.1K
Route
sambanova
Llama 3.3 70B InstructWinner · SambaNova

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

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
SambaNova
Blended price
$0.6 / 1M
500-token response
5.44 s
Response starts
0.44 s
Output speed
100.0 tok/s
Route uptime
98.03%
Context
16K
Route
sambanova-turbo

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.

Parasail vs SambaNova analysis

How Parasail and SambaNova compare for AI inference

Parasail and SambaNova share 3 indexed text models, including Gemma 4 31B, gpt-oss-120b, Llama 3.3 70B Instruct. 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

Parasail has 35 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.