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Same-model provider benchmark

SiliconFlow vs Venice: LLM provider comparison

Compare SiliconFlow and Venice on 15 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

Venice

29 indexed models

Headquarters
United States
Server regions
United States
Model types
29 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

1.57× typical advantage

15 exact models with complete recent speed data

Lowest token cost

$1.0671 / 1M

15 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

MetricSiliconFlowVenice
Typical 500-token response23.66 s14.61 s
Typical response start1.92 s1.32 s
Typical output speed23.0 tok/s38.0 tok/s
Blended token price$1.0671 / 1M$1.1579 / 1M
Typical route uptime97.90%99.49%

Visual comparison

Price and performance charts

SiliconFlowVenice
500-token response by shared model

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

Venice has the lower typical same-model response ratio across 15 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 15 priced shared models.

Shared text models

15 exact models · newest first

ModelSiliconFlowVenice
GLM 5.2Winner · Venice

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
Venice
Blended price
$2.4 / 1M
500-token response
14.33 s
Response starts
1.17 s
Output speed
38.0 tok/s
Route uptime
94.48%
Context
1M
Route
venice/fp8
Kimi K2.7 CodeWinner · Venice

moonshotai/kimi-k2.7-code

SiliconFlow
Blended price
$1.8394 / 1M
500-token response
15.76 s
Response starts
1.48 s
Output speed
35.0 tok/s
Route uptime
97.48%
Context
262.1K
Route
siliconflow/fp8
Venice
Blended price
$1.6667 / 1M
500-token response
8.94 s
Response starts
1.25 s
Output speed
65.0 tok/s
Route uptime
N/a
Context
256K
Route
venice/int4
Qwen3.6 27BWinner · Venice

qwen/qwen3.6-27b

SiliconFlow
Blended price
$1.2667 / 1M
500-token response
64.25 s
Response starts
1.75 s
Output speed
8.0 tok/s
Route uptime
83.18%
Context
262.1K
Route
siliconflow/fp8
Venice
Blended price
$1.3 / 1M
500-token response
20.54 s
Response starts
0.54 s
Output speed
25.0 tok/s
Route uptime
100.00%
Context
256K
Route
venice/fp8
DeepSeek V4 ProWinner · SiliconFlow

deepseek/deepseek-v4-pro

SiliconFlow
Blended price
$2.0461 / 1M
500-token response
23.66 s
Response starts
1.92 s
Output speed
23.0 tok/s
Route uptime
95.13%
Context
1M
Route
siliconflow/fp8
Venice
Blended price
$2.2003 / 1M
500-token response
28.55 s
Response starts
2.23 s
Output speed
19.0 tok/s
Route uptime
99.91%
Context
1M
Route
venice
DeepSeek V4 FlashWinner · SiliconFlow

deepseek/deepseek-v4-flash

SiliconFlow
Blended price
$0.18 / 1M
500-token response
11.49 s
Response starts
1.69 s
Output speed
51.0 tok/s
Route uptime
98.57%
Context
1M
Route
siliconflow/fp8
Venice
Blended price
$0.1837 / 1M
500-token response
14.58 s
Response starts
2.08 s
Output speed
40.0 tok/s
Route uptime
99.58%
Context
1M
Route
venice
Kimi K2.6Winner · Venice

moonshotai/kimi-k2.6

SiliconFlow
Blended price
$1.6467 / 1M
500-token response
37.63 s
Response starts
4.29 s
Output speed
15.0 tok/s
Route uptime
97.23%
Context
262.1K
Route
siliconflow/fp8
Venice
Blended price
$1.6667 / 1M
500-token response
12.06 s
Response starts
1.43 s
Output speed
47.0 tok/s
Route uptime
99.22%
Context
256K
Route
venice/int4
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
Venice
Blended price
$2.64 / 1M
500-token response
14.61 s
Response starts
1.46 s
Output speed
38.0 tok/s
Route uptime
88.98%
Context
200K
Route
venice/fp8
Gemma 4 26B A4BWinner · Venice

google/gemma-4-26b-a4b-it

SiliconFlow
Blended price
$0.2133 / 1M
500-token response
21.58 s
Response starts
1.58 s
Output speed
25.0 tok/s
Route uptime
99.95%
Context
262.1K
Route
siliconflow/fp8
Venice
Blended price
$0.22 / 1M
500-token response
19.60 s
Response starts
1.08 s
Output speed
27.0 tok/s
Route uptime
97.85%
Context
256K
Route
venice/bf16
Gemma 4 31BWinner · Venice

google/gemma-4-31b-it

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
Venice
Blended price
$0.2 / 1M
500-token response
15.38 s
Response starts
1.49 s
Output speed
36.0 tok/s
Route uptime
99.93%
Context
256K
Route
venice/bf16
Qwen3.5-9BWinner · Venice

qwen/qwen3.5-9b

SiliconFlow
Blended price
$0.1167 / 1M
500-token response
27.64 s
Response starts
1.33 s
Output speed
19.0 tok/s
Route uptime
98.63%
Context
262.1K
Route
siliconflow/fp8
Venice
Blended price
$0.1167 / 1M
500-token response
9.33 s
Response starts
0.85 s
Output speed
59.0 tok/s
Route uptime
99.92%
Context
256K
Route
venice/fp8
Qwen3.5-35B-A3BWinner · Venice

qwen/qwen3.5-35b-a3b

SiliconFlow
Blended price
$0.76 / 1M
500-token response
33.86 s
Response starts
4.44 s
Output speed
17.0 tok/s
Route uptime
83.07%
Context
262.1K
Route
siliconflow/fp8
Venice
Blended price
$0.625 / 1M
500-token response
21.60 s
Response starts
3.08 s
Output speed
27.0 tok/s
Route uptime
N/a
Context
256K
Route
venice
MiniMax M2.5Winner · Venice

minimax/minimax-m2.5

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
Venice
Blended price
$0.4967 / 1M
500-token response
9.78 s
Response starts
1.16 s
Output speed
58.0 tok/s
Route uptime
N/a
Context
198K
Route
venice
GLM 5Winner · Venice

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
Venice
Blended price
$1.7333 / 1M
500-token response
20.55 s
Response starts
1.32 s
Output speed
26.0 tok/s
Route uptime
N/a
Context
198K
Route
venice/fp8
Kimi K2.5Winner · Venice

moonshotai/kimi-k2.5

SiliconFlow
Blended price
$1.05 / 1M
500-token response
28.31 s
Response starts
1.99 s
Output speed
19.0 tok/s
Route uptime
99.21%
Context
262.1K
Route
siliconflow/int4
Venice
Blended price
$1.54 / 1M
500-token response
5.81 s
Response starts
1.45 s
Output speed
114.5 tok/s
Route uptime
N/a
Context
256K
Route
venice
DeepSeek V3.2Winner · SiliconFlow

deepseek/deepseek-v3.2

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
Venice
Blended price
$0.38 / 1M
500-token response
84.24 s
Response starts
0.90 s
Output speed
6.0 tok/s
Route uptime
99.40%
Context
160K
Route
venice

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 Venice analysis

How SiliconFlow and Venice compare for AI inference

SiliconFlow and Venice share 15 indexed text models, including GLM 5.2, Kimi K2.7 Code, Qwen3.6 27B, DeepSeek V4 Pro, DeepSeek V4 Flash. Venice has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

15 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

15 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; Venice has 29 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.