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Same-model provider benchmark

SiliconFlow vs Z.ai: LLM provider comparison

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

SiliconFlow

36 indexed models

Headquarters
Singapore
Server regions
United States
Model types
35 text, 1 embeddings

Z.ai

11 indexed models

Headquarters
Singapore
Server regions
Singapore
Model types
11 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

4 exact models with complete recent speed data

Lowest token cost

$1.5338 / 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

MetricSiliconFlowZ.ai
Typical 500-token response23.70 s27.72 s
Typical response start2.87 s5.79 s
Typical output speed25.5 tok/s22.5 tok/s
Blended token price$1.5338 / 1M$1.7583 / 1M
Typical route uptime99.64%91.81%

Visual comparison

Price and performance charts

SiliconFlowZ.ai
500-token response by shared model

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

SiliconFlow 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

ModelSiliconFlowZ.ai
GLM 5.2Winner · SiliconFlow

z-ai/glm-5.2

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
Z.ai
Blended price
$2.4 / 1M
500-token response
31.19 s
Response starts
6.19 s
Output speed
20.0 tok/s
Route uptime
99.10%
Context
1M
Route
z-ai/fp8
GLM 5.1Winner · SiliconFlow

z-ai/glm-5.1

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
Z.ai
Blended price
$2.4 / 1M
500-token response
25.39 s
Response starts
5.39 s
Output speed
25.0 tok/s
Route uptime
84.80%
Context
202.8K
Route
z-ai/fp8
GLM 5Winner · SiliconFlow

z-ai/glm-5

SiliconFlow
Blended price
$1.4833 / 1M
500-token response
27.28 s
Response starts
3.48 s
Output speed
21.0 tok/s
Route uptime
99.94%
Context
204.8K
Route
siliconflow/fp8
Z.ai
Blended price
$1.7333 / 1M
500-token response
26.05 s
Response starts
8.81 s
Output speed
29.0 tok/s
Route uptime
98.82%
Context
202.8K
Route
z-ai/fp8
GLM 4.5 AirWinner · SiliconFlow

z-ai/glm-4.5-air

SiliconFlow
Blended price
$0.38 / 1M
500-token response
27.87 s
Response starts
1.55 s
Output speed
19.0 tok/s
Route uptime
99.34%
Context
131.1K
Route
siliconflow/fp8
Z.ai
Blended price
$0.5 / 1M
500-token response
29.39 s
Response starts
4.39 s
Output speed
20.0 tok/s
Route uptime
72.94%
Context
131.1K
Route
z-ai/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.

SiliconFlow vs Z.ai analysis

How SiliconFlow and Z.ai compare for AI inference

SiliconFlow and Z.ai share 4 indexed text models, including GLM 5.2, GLM 5.1, GLM 5, GLM 4.5 Air. SiliconFlow 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

SiliconFlow has 36 indexed models and lists 1 published server region; Z.ai has 11 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.

Related same-model benchmarks

Compare with other providers

Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both SiliconFlow and Z.ai.