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Same-model provider benchmark

DigitalOcean vs Weights & Biases: LLM provider comparison

Compare DigitalOcean and Weights & Biases on 6 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

DigitalOcean

16 indexed models

Headquarters
N/a
Server regions
N/a
Model types
16 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

1.62× typical advantage

6 exact models with complete recent speed data

Lowest token cost

$1.0676 / 1M

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

Most models available

19 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricDigitalOceanWeights & Biases
Typical 500-token response19.09 s11.37 s
Typical response start1.00 s0.60 s
Typical output speed32.0 tok/s58.0 tok/s
Blended token price$1.0676 / 1M$1.2567 / 1M
Typical route uptime99.04%99.69%

Visual comparison

Price and performance charts

DigitalOceanWeights & 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 6 measured models.

Blended token price by shared model

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

DigitalOcean has the lower typical price ratio across 6 priced shared models.

Shared text models

6 exact models · newest first

ModelDigitalOceanWeights & Biases
GLM 5.2Winner · Weights & Biases

z-ai/glm-5.2

DigitalOcean
Blended price
$2.1667 / 1M
500-token response
12.22 s
Response starts
1.11 s
Output speed
45.0 tok/s
Route uptime
98.78%
Context
262.1K
Route
digitalocean
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
DeepSeek V4 ProWinner · DigitalOcean

deepseek/deepseek-v4-pro

DigitalOcean
Blended price
$1.856 / 1M
500-token response
33.90 s
Response starts
0.57 s
Output speed
15.0 tok/s
Route uptime
99.92%
Context
262.1K
Route
digitalocean
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 · Weights & Biases

deepseek/deepseek-v4-flash

DigitalOcean
Blended price
$0.1493 / 1M
500-token response
39.59 s
Response starts
1.13 s
Output speed
13.0 tok/s
Route uptime
99.79%
Context
262.1K
Route
digitalocean
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

DigitalOcean
Blended price
$1.5733 / 1M
500-token response
13.08 s
Response starts
0.89 s
Output speed
41.0 tok/s
Route uptime
99.04%
Context
262.1K
Route
digitalocean
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
MiniMax M2.5Winner · DigitalOcean

minimax/minimax-m2.5

DigitalOcean
Blended price
$0.45 / 1M
500-token response
8.35 s
Response starts
0.78 s
Output speed
66.0 tok/s
Route uptime
100.00%
Context
65.5K
Route
digitalocean
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
gpt-oss-120bWinner · Weights & Biases

openai/gpt-oss-120b

DigitalOcean
Blended price
$0.21 / 1M
500-token response
25.10 s
Response starts
3.36 s
Output speed
23.0 tok/s
Route uptime
98.90%
Context
128K
Route
digitalocean
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

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.

DigitalOcean vs Weights & Biases analysis

How DigitalOcean and Weights & Biases compare for AI inference

DigitalOcean and Weights & Biases share 6 indexed text models, including GLM 5.2, DeepSeek V4 Pro, DeepSeek V4 Flash, Kimi K2.6, MiniMax M2.5. Weights & Biases has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

6 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

6 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

DigitalOcean has 16 indexed models and lists no published server regions; Weights & Biases has 19 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.