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Same-model provider benchmark

SambaNova vs SiliconFlow: LLM provider comparison

Compare SambaNova and SiliconFlow on 4 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

SambaNova

6 indexed models

Headquarters
United States
Server regions
N/a
Model types
6 text

SiliconFlow

36 indexed models

Headquarters
Singapore
Server regions
United States
Model types
35 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

SambaNova

3.77× typical advantage

4 exact models with complete recent speed data

Lowest token cost

SiliconFlow

$0.3073 / 1M

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

Most models available

SiliconFlow

36 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricSambaNovaSiliconFlow
Typical 500-token response10.35 s38.84 s
Typical response start2.97 s2.38 s
Typical output speed70.0 tok/s14.0 tok/s
Blended token price$1.37 / 1M$0.3073 / 1M
Typical route uptime96.92%64.12%

Visual comparison

Price and performance charts

SambaNovaSiliconFlow
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 4 measured models.

Blended token price by shared model

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

SiliconFlow has the lower typical price ratio across 4 priced shared models.

Shared text models

4 exact models · newest first

ModelSambaNovaSiliconFlow
Gemma 4 31BWinner · SambaNova

google/gemma-4-31b-it

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
SiliconFlow
Blended price
$0.22 / 1M
500-token response
54.85 s
Response starts
13.19 s
Output speed
12.0 tok/s
Route uptime
40.07%
Context
262.1K
Route
siliconflow/fp8
DeepSeek V3.2Winner · SiliconFlow

deepseek/deepseek-v3.2

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
SiliconFlow
Blended price
$0.3127 / 1M
500-token response
22.45 s
Response starts
1.61 s
Output speed
24.0 tok/s
Route uptime
99.75%
Context
163.8K
Route
siliconflow/fp8
DeepSeek V3.1Winner · SambaNova

deepseek/deepseek-chat-v3.1

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
SiliconFlow
Blended price
$0.5133 / 1M
500-token response
33.11 s
Response starts
1.86 s
Output speed
16.0 tok/s
Route uptime
94.21%
Context
163.8K
Route
siliconflow/fp8
gpt-oss-120bWinner · SambaNova

openai/gpt-oss-120b

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
SiliconFlow
Blended price
$0.1833 / 1M
500-token response
44.57 s
Response starts
2.90 s
Output speed
12.0 tok/s
Route uptime
64.12%
Context
131.1K
Route
siliconflow/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.

SambaNova vs SiliconFlow analysis

How SambaNova and SiliconFlow compare for AI inference

SambaNova and SiliconFlow share 4 indexed text models, including Gemma 4 31B, DeepSeek V3.2, DeepSeek V3.1, gpt-oss-120b. SambaNova has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

4 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

4 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

SambaNova has 6 indexed models and lists no published server regions; SiliconFlow has 36 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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