Skip to content
ProviderBench home

Same-model provider benchmark

Crusoe vs Together: LLM provider comparison

Compare Crusoe and Together on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Crusoe

7 indexed models

Headquarters
United States
Server regions
N/a
Model types
7 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

Together

2.23× typical advantage

3 exact models with complete recent speed data

Lowest token cost

Crusoe

$0.7589 / 1M

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

Most models available

Together

22 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricCrusoe(0)Together(0)
SpeedCrusoe34.64 sTogether26.16 s
TTFTCrusoe0.83 sTogether1.16 s
TPSCrusoe15.0 tok/sTogether20.0 tok/s
UptimeCrusoe91.12%Together91.88%
BlendedCrusoe$0.7589 / 1MTogether$1.2711 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

CrusoeTogether
500-token response by shared model

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

Together has the lower typical same-model response ratio across 3 measured models.

Blended token price by shared model

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

Crusoe has the lower typical price ratio across 3 priced shared models.

Shared text models

3 exact models · newest first

ModelCrusoe(0)Together(0)
Kimi K2.6Winner · Together
Crusoe
Speed— Worst comparable value
34.64 s
TTFT— Worst comparable value
1.31 s
TPS— Worst comparable value
15.0 tok/s
Uptime— Worst comparable value
56.00%
Context
262.1K
Route
crusoe/bf16
Blended— Best comparable value
$1.6333 / 1M
Together
Speed— Best comparable value
5.81 s
TTFT— Best comparable value
0.49 s
TPS— Best comparable value
94.0 tok/s
Uptime— Best comparable value
97.37%
Context
262.1K
Route
together
Blended— Worst comparable value
$2.3 / 1M
Gemma 4 31BWinner · Together
Crusoe
Speed— Worst comparable value
84.17 s
TTFT— Best comparable value
0.83 s
TPS— Worst comparable value
6.0 tok/s
Uptime— Best comparable value
91.12%
Context
262.1K
Route
crusoe
Blended— Best comparable value
$0.2267 / 1M
Together
Speed— Best comparable value
37.78 s
TTFT— Worst comparable value
4.45 s
TPS— Best comparable value
15.0 tok/s
Uptime— Worst comparable value
88.19%
Context
262.1K
Route
together
Blended— Worst comparable value
$0.4733 / 1M
Llama 3.3 70B InstructWinner · Crusoe
Crusoe
Speed— Best comparable value
14.59 s
TTFT— Best comparable value
0.70 s
TPS— Best comparable value
36.0 tok/s
Uptime— Best comparable value
99.91%
Context
131.1K
Route
crusoe/bf16
Blended— Best comparable value
$0.4167 / 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.

Crusoe vs Together analysis

How Crusoe and Together compare for AI inference

Crusoe and Together share 3 indexed text models, including Kimi K2.6, Gemma 4 31B, Llama 3.3 70B Instruct. Together has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

3 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

3 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

Crusoe has 7 indexed models and lists no published server regions; Together has 22 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 Crusoe and Together.

Crusoe vs DeepInfra

6 shared model benchmarks

Together vs NovitaAI

10 shared model benchmarks

Crusoe vs Parasail

5 shared model benchmarks

Together vs CoreWeave

8 shared model benchmarks

Crusoe vs SiliconFlow

4 shared model benchmarks

Together vs Venice

8 shared model benchmarks