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Same-model provider benchmark

Friendli vs SiliconFlow: LLM provider comparison

Compare Friendli 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.

Friendli

5 indexed models

Headquarters
United States
Server regions
N/a
Model types
5 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

3.02× typical advantage

4 exact models with complete recent speed data

Lowest token cost

$1.2962 / 1M

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

Most models available

36 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricFriendliSiliconFlow
Typical 500-token response5.03 s17.77 s
Typical response start0.76 s1.95 s
Typical output speed117.5 tok/s33.0 tok/s
Blended token price$1.5583 / 1M$1.2962 / 1M
Typical route uptime99.39%99.75%

Visual comparison

Price and performance charts

FriendliSiliconFlow
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 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

ModelFriendliSiliconFlow
GLM 5.2Winner · Friendli

z-ai/glm-5.2

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
SiliconFlow
Blended price
$2.232 / 1M
500-token response
20.11 s
Response starts
3.44 s
Output speed
30.0 tok/s
Route uptime
99.96%
Context
1M
Route
siliconflow/fp8
GLM 5.1Winner · Friendli

z-ai/glm-5.1

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
SiliconFlow
Blended price
$2.04 / 1M
500-token response
14.79 s
Response starts
2.29 s
Output speed
40.0 tok/s
Route uptime
62.07%
Context
204.8K
Route
siliconflow/fp8
MiniMax M2.5Winner · Friendli

minimax/minimax-m2.5

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
SiliconFlow
Blended price
$0.6 / 1M
500-token response
15.44 s
Response starts
1.55 s
Output speed
36.0 tok/s
Route uptime
N/a
Context
196.6K
Route
siliconflow/fp8
DeepSeek V3.2Winner · SiliconFlow

deepseek/deepseek-v3.2

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
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

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.

Friendli vs SiliconFlow analysis

How Friendli and SiliconFlow compare for AI inference

Friendli and SiliconFlow share 4 indexed text models, including GLM 5.2, GLM 5.1, MiniMax M2.5, DeepSeek V3.2. Friendli 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

Friendli has 5 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.