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Same-model provider benchmark

SiliconFlow vs Weights & Biases: LLM provider comparison

Compare SiliconFlow and Weights & Biases on 14 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

Weights & Biases

19 indexed models

Headquarters
United States
Server regions
United States
Model types
19 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

3.46× typical advantage

14 exact models with complete recent speed data

Lowest token cost

$0.8858 / 1M

14 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

MetricSiliconFlowWeights & Biases
Typical 500-token response28.39 s6.32 s
Typical response start1.81 s0.45 s
Typical output speed20.0 tok/s84.8 tok/s
Blended token price$0.8858 / 1M$0.9721 / 1M
Typical route uptime96.08%99.95%

Visual comparison

Price and performance charts

SiliconFlowWeights & Biases
500-token response by shared model

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

Weights & Biases has the lower typical same-model response ratio across 14 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 14 priced shared models.

Shared text models

14 exact models · newest first

ModelSiliconFlowWeights & Biases
GLM 5.2Winner · Weights & Biases

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
Weights & Biases
Blended price
$2.3933 / 1M
500-token response
4.48 s
Response starts
0.58 s
Output speed
128.0 tok/s
Route uptime
99.89%
Context
262.1K
Route
wandb/fp4
Kimi K2.7 CodeWinner · Weights & Biases

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
Weights & Biases
Blended price
$1.96 / 1M
500-token response
3.20 s
Response starts
0.46 s
Output speed
182.0 tok/s
Route uptime
N/a
Context
262.1K
Route
wandb/int4
Qwen3.6 35B A3BWinner · Weights & Biases

qwen/qwen3.6-35b-a3b

SiliconFlow
Blended price
$0.6667 / 1M
500-token response
18.49 s
Response starts
1.25 s
Output speed
29.0 tok/s
Route uptime
97.82%
Context
262.1K
Route
siliconflow/fp8
Weights & Biases
Blended price
$0.5833 / 1M
500-token response
3.52 s
Response starts
0.27 s
Output speed
154.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
wandb/fp8
Qwen3.6 27BWinner · Weights & Biases

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
Weights & Biases
Blended price
$1.6 / 1M
500-token response
17.53 s
Response starts
0.29 s
Output speed
29.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
wandb/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
Weights & Biases
Blended price
$2.32 / 1M
500-token response
126.79 s
Response starts
1.79 s
Output speed
4.0 tok/s
Route uptime
97.62%
Context
1M
Route
wandb/fp8
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
Weights & Biases
Blended price
$0.1867 / 1M
500-token response
23.36 s
Response starts
0.63 s
Output speed
22.0 tok/s
Route uptime
99.69%
Context
1M
Route
wandb/fp8
Kimi K2.6Winner · Weights & Biases

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
Weights & Biases
Blended price
$1.9667 / 1M
500-token response
4.30 s
Response starts
0.45 s
Output speed
130.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
wandb/fp4
Gemma 4 31BWinner · Weights & Biases

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
Weights & Biases
Blended price
$0.1967 / 1M
500-token response
17.81 s
Response starts
0.57 s
Output speed
29.0 tok/s
Route uptime
99.79%
Context
262.1K
Route
wandb/bf16
Qwen3.5-35B-A3BWinner · Weights & Biases

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
Weights & Biases
Blended price
$0.5833 / 1M
500-token response
6.24 s
Response starts
0.46 s
Output speed
86.5 tok/s
Route uptime
100.00%
Context
262.1K
Route
wandb/fp8
MiniMax M2.5Winner · Weights & Biases

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
Weights & Biases
Blended price
$0.6 / 1M
500-token response
6.40 s
Response starts
0.38 s
Output speed
83.0 tok/s
Route uptime
N/a
Context
196.6K
Route
wandb/fp8
DeepSeek V3.1Winner · Weights & Biases

deepseek/deepseek-chat-v3.1

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
Weights & Biases
Blended price
$0.9167 / 1M
500-token response
10.15 s
Response starts
0.34 s
Output speed
51.0 tok/s
Route uptime
100.00%
Context
161K
Route
wandb/fp8
gpt-oss-120bWinner · Weights & Biases

openai/gpt-oss-120b

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
Weights & Biases
Blended price
$0.0733 / 1M
500-token response
16.33 s
Response starts
1.18 s
Output speed
33.0 tok/s
Route uptime
29.94%
Context
131.1K
Route
wandb/fp4
gpt-oss-20bWinner · Weights & Biases

openai/gpt-oss-20b

SiliconFlow
Blended price
$0.0867 / 1M
500-token response
42.99 s
Response starts
1.33 s
Output speed
12.0 tok/s
Route uptime
99.35%
Context
131.1K
Route
siliconflow/fp8
Weights & Biases
Blended price
$0.0633 / 1M
500-token response
3.58 s
Response starts
0.27 s
Output speed
151.0 tok/s
Route uptime
99.67%
Context
131.1K
Route
wandb/fp4
Qwen3 30B A3B Instruct 2507Winner · Weights & Biases

qwen/qwen3-30b-a3b-instruct-2507

SiliconFlow
Blended price
$0.16 / 1M
500-token response
11.57 s
Response starts
1.57 s
Output speed
50.0 tok/s
Route uptime
97.03%
Context
262.1K
Route
siliconflow/fp8
Weights & Biases
Blended price
$0.1667 / 1M
500-token response
5.93 s
Response starts
0.18 s
Output speed
87.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
wandb/bf16

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 Weights & Biases analysis

How SiliconFlow and Weights & Biases compare for AI inference

SiliconFlow and Weights & Biases share 14 indexed text models, including GLM 5.2, Kimi K2.7 Code, Qwen3.6 35B A3B, Qwen3.6 27B, DeepSeek V4 Pro. Weights & Biases has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

14 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

14 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; Weights & Biases has 19 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.