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Same-model provider benchmark

Groq vs Together: LLM provider comparison

Compare Groq and Together on 4 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Groq

11 indexed models

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

Together

19 indexed models

Headquarters
United States
Server regions
N/a
Model types
17 text, 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

Groq

2.30× typical advantage

4 exact models with complete recent speed data

Lowest token cost

Together

$0.51 / 1M

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

Most models available

Together

19 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricGroqTogether
Typical 500-token response2.81 s6.63 s
Typical response start0.35 s0.41 s
Typical output speed223.0 tok/s91.0 tok/s
Blended token price$0.5267 / 1M$0.51 / 1M
Typical route uptime99.63%97.87%

Visual comparison

Price and performance charts

GroqTogether
500-token response by shared model

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

Groq 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.

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

Shared text models

4 exact models · newest first

ModelGroqTogether
MiniMax M2.7Winner · Together

minimax/minimax-m2.7

Groq
Blended price
$1 / 1M
500-token response
3.11 s
Response starts
0.70 s
Output speed
208.0 tok/s
Route uptime
99.63%
Context
196.6K
Route
groq
Together
Blended price
$0.6 / 1M
500-token response
4.62 s
Response starts
0.52 s
Output speed
122.0 tok/s
Route uptime
98.83%
Context
196.6K
Route
together/fp4
gpt-oss-120bWinner · Groq

openai/gpt-oss-120b

Groq
Blended price
$0.3 / 1M
500-token response
1.48 s
Response starts
0.20 s
Output speed
391.0 tok/s
Route uptime
99.99%
Context
131.1K
Route
groq
Together
Blended price
$0.3 / 1M
500-token response
8.63 s
Response starts
0.30 s
Output speed
60.0 tok/s
Route uptime
93.50%
Context
131.1K
Route
together
gpt-oss-20bWinner · Together

openai/gpt-oss-20b

Groq
Blended price
$0.15 / 1M
500-token response
2.51 s
Response starts
0.41 s
Output speed
238.0 tok/s
Route uptime
99.94%
Context
131.1K
Route
groq
Together
Blended price
$0.1 / 1M
500-token response
2.95 s
Response starts
0.23 s
Output speed
184.0 tok/s
Route uptime
N/a
Context
131.1K
Route
together
Llama 3.3 70B InstructWinner · Groq

meta-llama/llama-3.3-70b-instruct

Groq
Blended price
$0.6567 / 1M
500-token response
3.26 s
Response starts
0.29 s
Output speed
168.0 tok/s
Route uptime
99.51%
Context
131.1K
Route
groq
Together
Blended price
$1.04 / 1M
500-token response
16.41 s
Response starts
0.79 s
Output speed
32.0 tok/s
Route uptime
97.87%
Context
131.1K
Route
together/fp8

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.

Groq vs Together analysis

How Groq and Together compare for AI inference

Groq and Together share 4 indexed text models, including MiniMax M2.7, gpt-oss-120b, gpt-oss-20b, Llama 3.3 70B Instruct. Groq 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

Groq has 11 indexed models and lists no published server regions; Together has 19 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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