Skip to content
ProviderBench home

Same-model provider benchmark

CoreWeave vs SambaNova: LLM provider comparison

Compare CoreWeave and SambaNova on 4 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

SambaNova

6 indexed models

Headquarters
United States
Server regions
N/a
Model types
6 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

SambaNova

2.60× typical advantage

4 exact models with complete recent speed data

Lowest token cost

CoreWeave

$0.4742 / 1M

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

Most models available

CoreWeave

20 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricCoreWeave(0)SambaNova(0)
SpeedCoreWeave13.99 sSambaNova6.94 s
TTFTCoreWeave0.36 sSambaNova0.81 s
TPSCoreWeave40.0 tok/sSambaNova99.5 tok/s
UptimeCoreWeave99.84%SambaNova97.51%
BlendedCoreWeave$0.4742 / 1MSambaNova$0.645 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

CoreWeaveSambaNova
500-token response by shared model

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

SambaNova has the lower typical same-model response ratio across 4 measured models.

Blended token price by shared model

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

CoreWeave has the lower typical price ratio across 4 priced shared models.

Shared text models

4 exact models · newest first

ModelCoreWeave(0)SambaNova(0)
Gemma 4 31BWinner · SambaNova
CoreWeave
Speed— Worst comparable value
30.82 s
TTFT— Best comparable value
1.41 s
TPS— Worst comparable value
17.0 tok/s
Uptime— Worst comparable value
77.67%
Context
262.1K
Route
coreweave/bf16
Blended— Best comparable value
$0.1967 / 1M
SambaNova
Speed— Best comparable value
8.96 s
TTFT— Worst comparable value
3.22 s
TPS— Best comparable value
87.0 tok/s
Uptime— Best comparable value
99.84%
Context
131.1K
Route
sambanova
Blended— Worst comparable value
$0.6367 / 1M
DeepSeek V3.1Winner · CoreWeave
CoreWeave
Speed— Best comparable value
9.97 s
TTFT— Best comparable value
0.35 s
TPS
52.0 tok/s
Uptime— Best comparable value
100.00%
Context
161K
Route
coreweave/fp8
Blended— Best comparable value
$0.9167 / 1M
SambaNova
Speed— Worst comparable value
10.56 s
TTFT— Worst comparable value
0.95 s
TPS
52.0 tok/s
Uptime— Worst comparable value
98.21%
Context
131.1K
Route
sambanova/fp8
Blended— Worst comparable value
$0.9333 / 1M
gpt-oss-120bWinner · CoreWeave
CoreWeave
Speed— Worst comparable value
5.92 s
TTFT— Best comparable value
0.36 s
TPS— Worst 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
SambaNova
Speed— Best comparable value
3.37 s
TTFT— Worst comparable value
0.68 s
TPS— Best comparable value
186.0 tok/s
Uptime— Worst comparable value
96.57%
Context
131.1K
Route
sambanova
Blended— Worst comparable value
$0.41 / 1M
Llama 3.3 70B InstructWinner · SambaNova
CoreWeave
Speed— Worst comparable value
18.01 s
TTFT— Best comparable value
0.15 s
TPS— Worst comparable value
28.0 tok/s
Uptime— Best comparable value
100.00%
Context
128K
Route
coreweave/fp16
Blended— Worst comparable value
$0.71 / 1M
SambaNova
Speed— Best comparable value
4.92 s
TTFT— Worst comparable value
0.46 s
TPS— Best comparable value
112.0 tok/s
Uptime— Worst comparable value
96.80%
Context
16K
Route
sambanova-turbo
Blended— Best comparable value
$0.6 / 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 SambaNova analysis

How CoreWeave and SambaNova compare for AI inference

CoreWeave and SambaNova share 4 indexed text models, including Gemma 4 31B, DeepSeek V3.1, gpt-oss-120b, Llama 3.3 70B Instruct. SambaNova has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

4 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

4 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; SambaNova has 6 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.

Related same-model benchmarks

Compare with other providers

Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both CoreWeave and SambaNova.

CoreWeave vs DeepInfra

16 shared model benchmarks

SambaNova vs NovitaAI

6 shared model benchmarks

CoreWeave vs SiliconFlow

15 shared model benchmarks

SambaNova vs Google Vertex

4 shared model benchmarks

CoreWeave vs Parasail

13 shared model benchmarks

SambaNova vs Together

4 shared model benchmarks