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Same-model provider benchmark

CoreWeave vs Together: LLM provider comparison

Compare CoreWeave and Together on 8 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

Together

22 indexed models

Headquarters
United States
Server regions
N/a
Model types
18 text, 2 speech, 2 transcription

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

1.30× typical advantage

8 exact models with complete recent speed data

Lowest token cost

$1.2104 / 1M

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

Most models available

22 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricCoreWeave(0)Together(0)
SpeedCoreWeave12.68 sTogether10.54 s
TTFTCoreWeave0.52 sTogether0.63 s
TPSCoreWeave51.5 tok/sTogether50.5 tok/s
UptimeCoreWeave99.89%Together97.21%
BlendedCoreWeave$1.2104 / 1MTogether$1.3625 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

CoreWeaveTogether
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 8 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 8 priced shared models.

Shared text models

8 exact models · newest first

ModelCoreWeave(0)Together(0)
GLM 5.2Winner · CoreWeave
CoreWeave
Speed— Best comparable value
20.46 s
TTFT— Best comparable value
1.94 s
TPS— Best comparable value
27.0 tok/s
Uptime— Best comparable value
99.96%
Context
262.1K
Route
coreweave/fp4
Blended— Best comparable value
$2.3933 / 1M
Together
Speed— Worst comparable value
28.89 s
TTFT— Worst comparable value
2.57 s
TPS— Worst comparable value
19.0 tok/s
Uptime— Worst comparable value
99.88%
Context
262.1K
Route
together
Blended— Worst comparable value
$2.4 / 1M
Kimi K2.7 CodeWinner · CoreWeave
CoreWeave
Speed— Best comparable value
7.35 s
TTFT— Worst comparable value
0.68 s
TPS— Best comparable value
75.0 tok/s
Uptime
100.00%
Context
262.1K
Route
coreweave/int4
Blended— Best comparable value
$1.96 / 1M
Together
Speed— Worst comparable value
10.15 s
TTFT— Best comparable value
0.53 s
TPS— Worst comparable value
52.0 tok/s
Uptime
100.00%
Context
262.1K
Route
together
Blended— Worst comparable value
$1.9667 / 1M
DeepSeek V4 ProWinner · Together
CoreWeave
Speed— Worst comparable value
64.00 s
TTFT— Worst comparable value
1.50 s
TPS— Worst comparable value
8.0 tok/s
Uptime— Best comparable value
98.59%
Context
1M
Route
coreweave/fp8
Blended
$2.32 / 1M
Together
Speed— Best comparable value
10.94 s
TTFT— Best comparable value
0.73 s
TPS— Best comparable value
49.0 tok/s
Uptime— Worst comparable value
97.21%
Context
512K
Route
together
Blended
$2.32 / 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— Best comparable value
$1.9667 / 1M
Together
Speed— Worst comparable value
5.81 s
TTFT— Worst comparable value
0.49 s
TPS— Worst comparable value
94.0 tok/s
Uptime— Worst comparable value
97.37%
Context
262.1K
Route
together
Blended— Worst comparable value
$2.3 / 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— Worst comparable value
77.67%
Context
262.1K
Route
coreweave/bf16
Blended— Best comparable value
$0.1967 / 1M
Together
Speed— Worst comparable value
37.78 s
TTFT— Worst comparable value
4.45 s
TPS— Worst comparable value
15.0 tok/s
Uptime— Best comparable value
88.19%
Context
262.1K
Route
together
Blended— Worst comparable value
$0.4733 / 1M
gpt-oss-120bWinner · CoreWeave
CoreWeave
Speed— Worst comparable value
5.92 s
TTFT— Worst 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
Together
Speed— Best comparable value
5.76 s
TTFT— Best comparable value
0.26 s
TPS— Best comparable value
91.0 tok/s
Uptime— Worst comparable value
95.04%
Context
131.1K
Route
together
Blended— Worst comparable value
$0.3 / 1M
gpt-oss-20bWinner · CoreWeave
CoreWeave
Speed— Best comparable value
4.18 s
TTFT— Worst comparable value
0.28 s
TPS— Best comparable value
128.0 tok/s
Uptime
87.61%
Context
131.1K
Route
coreweave/fp4
Blended— Best comparable value
$0.0633 / 1M
Together
Speed— Worst comparable value
4.82 s
TTFT— Best comparable value
0.23 s
TPS— Worst comparable value
109.0 tok/s
Uptime
N/a
Context
131.1K
Route
together
Blended— Worst comparable value
$0.1 / 1M
Llama 3.3 70B InstructWinner · CoreWeave
CoreWeave
Speed— Best comparable value
18.01 s
TTFT— Best comparable value
0.15 s
TPS— Best comparable value
28.0 tok/s
Uptime— Best comparable value
100.00%
Context
128K
Route
coreweave/fp16
Blended— Best comparable value
$0.71 / 1M
Together
Speed— Worst comparable value
26.16 s
TTFT— Worst comparable value
1.16 s
TPS— Worst comparable value
20.0 tok/s
Uptime— Worst comparable value
91.88%
Context
131.1K
Route
together/fp8
Blended— Worst comparable value
$1.04 / 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 Together analysis

How CoreWeave and Together compare for AI inference

CoreWeave and Together share 8 indexed text models, including GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, Kimi K2.6, Gemma 4 31B. CoreWeave has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

8 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

8 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; Together has 22 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.