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Same-model provider benchmark

Venice vs Weights & Biases: LLM provider comparison

Compare Venice and Weights & Biases on 10 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Venice

29 indexed models

Headquarters
United States
Server regions
United States
Model types
29 text

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

1.35× typical advantage

10 exact models with complete recent speed data

Lowest token cost

$1.1472 / 1M

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

Most models available

29 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricVeniceWeights & Biases
Typical 500-token response14.46 s8.30 s
Typical response start1.34 s0.46 s
Typical output speed39.0 tok/s67.0 tok/s
Blended token price$1.1472 / 1M$1.2973 / 1M
Typical route uptime99.75%99.84%

Visual comparison

Price and performance charts

VeniceWeights & 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 10 measured models.

Blended token price by shared model

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

Venice has the lower typical price ratio across 10 priced shared models.

Shared text models

10 exact models · newest first

ModelVeniceWeights & Biases
GLM 5.2Winner · Weights & Biases

z-ai/glm-5.2

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
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

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
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 27BWinner · Venice

qwen/qwen3.6-27b

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
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 · Venice

deepseek/deepseek-v4-pro

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
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 · Venice

deepseek/deepseek-v4-flash

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
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

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
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 · Venice

google/gemma-4-31b-it

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
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

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
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

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
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
Qwen3 Coder 480B A35BWinner · Venice

qwen/qwen3-coder

Venice
Blended price
$0.7333 / 1M
500-token response
6.23 s
Response starts
0.45 s
Output speed
86.5 tok/s
Route uptime
N/a
Context
256K
Route
venice/fp8
Weights & Biases
Blended price
$1.1667 / 1M
500-token response
10.19 s
Response starts
0.39 s
Output speed
51.0 tok/s
Route uptime
N/a
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.

Venice vs Weights & Biases analysis

How Venice and Weights & Biases compare for AI inference

Venice and Weights & Biases share 10 indexed text models, including GLM 5.2, Kimi K2.7 Code, Qwen3.6 27B, DeepSeek V4 Pro, DeepSeek V4 Flash. Weights & Biases has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

10 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

10 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

Venice has 29 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.