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Same-model provider benchmark

CoreWeave vs SiliconFlow: LLM provider comparison

Compare CoreWeave and SiliconFlow on 15 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

SiliconFlow

36 indexed models

Headquarters
Singapore
Server regions
United States
Model types
35 text, 1 embeddings

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

2.80× typical advantage

15 exact models with complete recent speed data

Lowest token cost

$0.9627 / 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

MetricCoreWeave(0)SiliconFlow(0)
SpeedCoreWeave7.35 sSiliconFlow15.70 s
TTFTCoreWeave0.36 sSiliconFlow1.47 s
TPSCoreWeave75.0 tok/sSiliconFlow37.0 tok/s
UptimeCoreWeave99.98%SiliconFlow99.57%
BlendedCoreWeave$1.0673 / 1MSiliconFlow$0.9627 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

CoreWeaveSiliconFlow
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 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

ModelCoreWeave(0)SiliconFlow(0)
GLM 5.2Winner · SiliconFlow
CoreWeave
Speed— Worst comparable value
20.46 s
TTFT— Best 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
SiliconFlow
Speed— Best comparable value
15.80 s
TTFT— Worst comparable value
2.29 s
TPS— Best comparable value
37.0 tok/s
Uptime— Worst comparable value
99.92%
Context
1M
Route
siliconflow/fp8
Blended— Best comparable value
$2.232 / 1M
Kimi K2.7 CodeWinner · CoreWeave
CoreWeave
Speed— Best comparable value
7.35 s
TTFT— Best comparable value
0.68 s
TPS— Best comparable value
75.0 tok/s
Uptime
100.00%
Context
262.1K
Route
coreweave/int4
Blended— Worst comparable value
$1.96 / 1M
SiliconFlow
Speed— Worst comparable value
13.47 s
TTFT— Worst comparable value
1.27 s
TPS— Worst comparable value
41.0 tok/s
Uptime
100.00%
Context
262.1K
Route
siliconflow/fp8
Blended— Best comparable value
$1.8394 / 1M
Qwen3.6 35B A3BWinner · CoreWeave
CoreWeave
Speed— Best comparable value
3.72 s
TTFT— Best comparable value
0.26 s
TPS— Best comparable value
144.5 tok/s
Uptime— Best comparable value
100.00%
Context
262.1K
Route
coreweave/fp8
Blended— Best comparable value
$0.5833 / 1M
SiliconFlow
Speed— Worst comparable value
11.90 s
TTFT— Worst comparable value
1.26 s
TPS— Worst comparable value
47.0 tok/s
Uptime— Worst comparable value
99.75%
Context
262.1K
Route
siliconflow/fp8
Blended— Worst comparable value
$0.6667 / 1M
Qwen3.6 27BWinner · CoreWeave
CoreWeave
Speed— Best comparable value
18.18 s
TTFT— Best comparable value
0.33 s
TPS— Best comparable value
28.0 tok/s
Uptime— Best comparable value
100.00%
Context
262.1K
Route
coreweave/fp8
Blended— Worst comparable value
$1.6 / 1M
SiliconFlow
Speed— Worst comparable value
25.28 s
TTFT— Worst comparable value
1.47 s
TPS— Worst comparable value
21.0 tok/s
Uptime— Worst comparable value
97.38%
Context
262.1K
Route
siliconflow/fp8
Blended— Best comparable value
$1.2667 / 1M
DeepSeek V4 ProWinner · SiliconFlow
CoreWeave
Speed— Worst comparable value
64.00 s
TTFT— Best comparable value
1.50 s
TPS— Worst comparable value
8.0 tok/s
Uptime— Worst comparable value
98.59%
Context
1M
Route
coreweave/fp8
Blended— Worst comparable value
$2.32 / 1M
SiliconFlow
Speed— Best comparable value
12.91 s
TTFT— Worst comparable value
2.04 s
TPS— Best comparable value
46.0 tok/s
Uptime— Best comparable value
99.63%
Context
1M
Route
siliconflow/fp8
Blended— Best comparable value
$2.0461 / 1M
DeepSeek V4 FlashWinner · SiliconFlow
CoreWeave
Speed— Worst comparable value
17.27 s
TTFT— Best comparable value
0.60 s
TPS— Worst comparable value
30.0 tok/s
Uptime— Best comparable value
99.85%
Context
1M
Route
coreweave/fp8
Blended— Worst comparable value
$0.1867 / 1M
SiliconFlow
Speed— Best comparable value
10.07 s
TTFT— Worst comparable value
1.73 s
TPS— Best comparable value
60.0 tok/s
Uptime— Worst comparable value
97.71%
Context
1M
Route
siliconflow/fp8
Blended— Best comparable value
$0.18 / 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— Worst comparable value
99.89%
Context
262.1K
Route
coreweave/fp4
Blended— Worst comparable value
$1.9667 / 1M
SiliconFlow
Speed— Worst comparable value
15.70 s
TTFT— Worst comparable value
1.81 s
TPS— Worst comparable value
36.0 tok/s
Uptime— Best comparable value
100.00%
Context
262.1K
Route
siliconflow/fp8
Blended— Best comparable value
$1.6467 / 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
SiliconFlow
Speed— Worst comparable value
10.65 s
TTFT— Worst comparable value
1.22 s
TPS— Worst comparable value
53.0 tok/s
Uptime— Worst comparable value
99.79%
Context
204.8K
Route
siliconflow/fp8
Blended— Best comparable value
$2.04 / 1M
Gemma 4 31BWinner · CoreWeave
CoreWeave
Speed— Best comparable value
30.82 s
TTFT— Best comparable value
1.41 s
TPS— Best comparable value
17.0 tok/s
Uptime— Best comparable value
77.67%
Context
262.1K
Route
coreweave/bf16
Blended— Best comparable value
$0.1967 / 1M
SiliconFlow
Speed— Worst comparable value
127.75 s
TTFT— Worst comparable value
2.75 s
TPS— Worst comparable value
4.0 tok/s
Uptime— Worst comparable value
22.68%
Context
262.1K
Route
siliconflow/fp8
Blended— Worst comparable value
$0.22 / 1M
Qwen3.5-35B-A3BWinner · CoreWeave
CoreWeave
Speed— Best comparable value
4.86 s
TTFT— Best comparable value
0.35 s
TPS— Best comparable value
111.0 tok/s
Uptime
100.00%
Context
262.1K
Route
coreweave/fp8
Blended— Best comparable value
$0.5833 / 1M
SiliconFlow
Speed— Worst comparable value
17.83 s
TTFT— Worst comparable value
1.70 s
TPS— Worst comparable value
31.0 tok/s
Uptime
N/a
Context
262.1K
Route
siliconflow/fp8
Blended— Worst comparable value
$0.76 / 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
100.00%
Context
196.6K
Route
coreweave/fp8
Blended
$0.6 / 1M
SiliconFlow
Speed— Worst comparable value
11.37 s
TTFT— Worst comparable value
1.16 s
TPS— Worst comparable value
49.0 tok/s
Uptime
100.00%
Context
196.6K
Route
siliconflow/fp8
Blended
$0.6 / 1M
DeepSeek V3.1Winner · CoreWeave
CoreWeave
Speed— Best comparable value
9.97 s
TTFT— Best comparable value
0.35 s
TPS— Best comparable value
52.0 tok/s
Uptime— Best comparable value
100.00%
Context
161K
Route
coreweave/fp8
Blended— Worst comparable value
$0.9167 / 1M
SiliconFlow
Speed— Worst comparable value
37.17 s
TTFT— Worst comparable value
1.45 s
TPS— Worst comparable value
14.0 tok/s
Uptime— Worst comparable value
96.14%
Context
163.8K
Route
siliconflow/fp8
Blended— Best comparable value
$0.5133 / 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— Best comparable value
99.68%
Context
131.1K
Route
coreweave/fp4
Blended— Best comparable value
$0.0733 / 1M
SiliconFlow
Speed— Worst comparable value
17.97 s
TTFT— Worst comparable value
1.31 s
TPS— Worst comparable value
30.0 tok/s
Uptime— Worst comparable value
96.83%
Context
131.1K
Route
siliconflow/fp8
Blended— Worst comparable value
$0.1833 / 1M
gpt-oss-20bWinner · CoreWeave
CoreWeave
Speed— Best comparable value
4.18 s
TTFT— Best comparable value
0.28 s
TPS— Best comparable value
128.0 tok/s
Uptime— Worst comparable value
87.61%
Context
131.1K
Route
coreweave/fp4
Blended— Best comparable value
$0.0633 / 1M
SiliconFlow
Speed— Worst comparable value
13.08 s
TTFT— Worst comparable value
1.17 s
TPS— Worst comparable value
42.0 tok/s
Uptime— Best comparable value
90.57%
Context
131.1K
Route
siliconflow/fp8
Blended— Worst comparable value
$0.0867 / 1M
Qwen3 30B A3B Instruct 2507Winner · CoreWeave
CoreWeave
Speed— Best comparable value
8.22 s
TTFT— Best comparable value
0.28 s
TPS— Best comparable value
63.0 tok/s
Uptime— Best comparable value
100.00%
Context
262.1K
Route
coreweave/bf16
Blended— Worst comparable value
$0.1667 / 1M
SiliconFlow
Speed— Worst comparable value
22.99 s
TTFT— Worst comparable value
2.16 s
TPS— Worst comparable value
24.0 tok/s
Uptime— Worst comparable value
99.50%
Context
262.1K
Route
siliconflow/fp8
Blended— Best comparable value
$0.16 / 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 SiliconFlow analysis

How CoreWeave and SiliconFlow compare for AI inference

CoreWeave and SiliconFlow share 15 indexed text models, including GLM 5.2, Kimi K2.7 Code, Qwen3.6 35B A3B, Qwen3.6 27B, DeepSeek V4 Pro. CoreWeave 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

CoreWeave has 20 indexed models and lists 1 published server region; SiliconFlow has 36 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.