Skip to content

Same-model provider benchmark

CoreWeave vs DigitalOcean: LLM provider comparison

Compare CoreWeave and DigitalOcean on 7 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

CoreWeave

20 indexed models

Headquarters
United States
Server regions
United States
Model types
20 text

DigitalOcean

16 indexed models

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

1.58× typical advantage

7 exact models with complete recent speed data

Lowest token cost

$1.2127 / 1M

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

Most models available

20 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricCoreWeave(0)DigitalOcean5.0(1)
SpeedCoreWeave6.55 sDigitalOcean12.55 s
TTFTCoreWeave0.50 sDigitalOcean1.07 s
TPSCoreWeave81.0 tok/sDigitalOcean43.0 tok/s
UptimeCoreWeave99.89%DigitalOcean99.73%
BlendedCoreWeave$1.42 / 1MDigitalOcean$1.2127 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

CoreWeaveDigitalOcean
500-token response by shared model

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

CoreWeave has the lower typical same-model response ratio across 7 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 7 priced shared models.

Shared text models

7 exact models · newest first

ModelCoreWeave(0)DigitalOcean5.0(1)
GLM 5.2Winner · DigitalOcean
CoreWeave
Speed— Worst comparable value
20.46 s
TTFT— Worst comparable value
1.94 s
TPS— Worst comparable value
27.0 tok/s
Uptime— Best comparable value
99.96%
Context
262.1K
Route
coreweave/fp4
Blended— Worst comparable value
$2.3933 / 1M
DigitalOcean
Speed— Best comparable value
12.36 s
TTFT— Best comparable value
0.73 s
TPS— Best comparable value
43.0 tok/s
Uptime— Worst comparable value
99.83%
Context
262.1K
Route
digitalocean
Blended— Best comparable value
$2.1667 / 1M
DeepSeek V4 ProWinner · DigitalOcean
CoreWeave
Speed— Best comparable value
64.00 s
TTFT— Best comparable value
1.50 s
TPS
8.0 tok/s
Uptime— Best comparable value
98.59%
Context
1M
Route
coreweave/fp8
Blended— Worst comparable value
$2.32 / 1M
DigitalOcean
Speed— Worst comparable value
64.68 s
TTFT— Worst comparable value
2.18 s
TPS
8.0 tok/s
Uptime— Worst comparable value
88.39%
Context
262.1K
Route
digitalocean
Blended— Best comparable value
$1.856 / 1M
DeepSeek V4 FlashWinner · CoreWeave
CoreWeave
Speed— Best comparable value
17.27 s
TTFT— Best comparable value
0.60 s
TPS— Best comparable value
30.0 tok/s
Uptime— Best comparable value
99.85%
Context
1M
Route
coreweave/fp8
Blended— Worst comparable value
$0.1867 / 1M
DigitalOcean
Speed— Worst comparable value
63.89 s
TTFT— Worst comparable value
1.39 s
TPS— Worst comparable value
8.0 tok/s
Uptime— Worst comparable value
99.71%
Context
262.1K
Route
digitalocean
Blended— Best comparable value
$0.1493 / 1M
Kimi K2.6Winner · CoreWeave
CoreWeave
Speed— Best comparable value
3.30 s
TTFT— Best comparable value
0.34 s
TPS— Best comparable value
169.0 tok/s
Uptime— Best comparable value
99.89%
Context
262.1K
Route
coreweave/fp4
Blended— Worst comparable value
$1.9667 / 1M
DigitalOcean
Speed— Worst comparable value
12.55 s
TTFT— Worst comparable value
0.92 s
TPS— Worst comparable value
43.0 tok/s
Uptime— Worst comparable value
99.73%
Context
262.1K
Route
digitalocean
Blended— Best comparable value
$1.5733 / 1M
GLM 5.1Winner · CoreWeave
CoreWeave
Speed— Best comparable value
4.38 s
TTFT— Best comparable value
0.50 s
TPS— Best comparable value
129.0 tok/s
Uptime— Best comparable value
100.00%
Context
202.8K
Route
coreweave/fp8
Blended— Worst comparable value
$2.4 / 1M
DigitalOcean
Speed— Worst comparable value
26.68 s
TTFT— Worst comparable value
1.69 s
TPS— Worst comparable value
20.0 tok/s
Uptime— Worst comparable value
94.81%
Context
163.8K
Route
digitalocean
Blended— Best comparable value
$2.0833 / 1M
MiniMax M2.5Winner · CoreWeave
CoreWeave
Speed— Best comparable value
6.55 s
TTFT— Best comparable value
0.38 s
TPS— Best comparable value
81.0 tok/s
Uptime— Best comparable value
100.00%
Context
196.6K
Route
coreweave/fp8
Blended— Worst comparable value
$0.6 / 1M
DigitalOcean
Speed— Worst comparable value
10.33 s
TTFT— Worst comparable value
1.07 s
TPS— Worst comparable value
54.0 tok/s
Uptime— Worst comparable value
99.89%
Context
65.5K
Route
digitalocean
Blended— Best comparable value
$0.45 / 1M
gpt-oss-120bWinner · CoreWeave
CoreWeave
Speed— Best comparable value
5.92 s
TTFT— Best comparable value
0.36 s
TPS— Best comparable value
90.0 tok/s
Uptime— Worst comparable value
99.68%
Context
131.1K
Route
coreweave/fp4
Blended— Best comparable value
$0.0733 / 1M
DigitalOcean
Speed— Worst comparable value
8.37 s
TTFT— Worst comparable value
0.44 s
TPS— Worst comparable value
63.0 tok/s
Uptime— Best comparable value
99.96%
Context
128K
Route
digitalocean
Blended— Worst comparable value
$0.21 / 1M

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.

CoreWeave vs DigitalOcean analysis

How CoreWeave and DigitalOcean compare for AI inference

CoreWeave and DigitalOcean share 7 indexed text models, including GLM 5.2, DeepSeek V4 Pro, DeepSeek V4 Flash, Kimi K2.6, GLM 5.1. CoreWeave has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

7 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

7 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

CoreWeave has 20 indexed models and lists 1 published server region; DigitalOcean has 16 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.