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Groq: Models Intelligence, Performance & Price

Analysis of Groq's models across key metrics including quality, price, output speed, latency, context window & more. This analysis is intended to support you in choosing the best model provided by Groq for your use-case. For more details including relating to our methodology, see our FAQs. Models analyzed: Llama 3.3 70B, Llama 4 Maverick, Llama 4 Scout, DeepSeek R1 Distill Llama 70B, QwQ-32B, Qwen3 32B (Reasoning), Qwen3 32B, Llama 3.1 8B, Llama 3 70B, Llama 3 8B, and Gemma 2 9B.
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Groq Model Comparison Summary

Intelligence:Qwen3 32B (Reasoning) logo Qwen3 32B (Reasoning) and QwQ-32B logo QwQ-32B are the highest quality models offered by Groq, followed by Llama 4 Maverick logo Llama 4 Maverick, DeepSeek R1 Distill Llama 70B logo DeepSeek R1 Distill Llama 70B & Qwen3 32B logo Qwen3 32B.Output Speed (tokens/s):Llama 3 8B logo Llama 3 8B (1350 t/s) and Llama 3.1 8B logo Llama 3.1 8B (836 t/s) are the fastest models offered by Groq, followed by Gemma 2 9B logo Gemma 2 9B, Qwen3 32B (Reasoning) logo Qwen3 32B (Reasoning) & Qwen3 32B logo Qwen3 32B.Latency (seconds):Llama 3.1 8B logo Llama 3.1 8B (0.13s) and  Llama 4 Maverick logo Llama 4 Maverick (0.16s) are the lowest latency models offered by Groq, followed by DeepSeek R1 Distill Llama 70B logo DeepSeek R1 Distill Llama 70B, Llama 4 Scout logo Llama 4 Scout & Qwen3 32B logo Qwen3 32B.Blended Price ($/M tokens):Llama 3.1 8B logo Llama 3.1 8B ($0.06) and Llama 3 8B logo Llama 3 8B ($0.06) are the cheapest models offered by Groq, followed by Llama 4 Scout logo Llama 4 Scout, Gemma 2 9B logo Gemma 2 9B & Llama 4 Maverick logo Llama 4 Maverick.Context Window Size:Llama 4 Scout logo Llama 4 Scout (131k) and QwQ-32B logo QwQ-32B (131k) are the largest context window models offered by Groq, followed by Qwen3 32B (Reasoning) logo Qwen3 32B (Reasoning), Qwen3 32B logo Qwen3 32B & Llama 3.3 70B logo Llama 3.3 70B.

Highlights

Intelligence
Artificial Analysis Intelligence Index; Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better
Parallel Queries:
Prompt Length:
Features
Model Intelligence
Price
Output tokens/s
Latency
End-to-End Response Time
Further
Analysis
Groq logo
Alibaba logo
Qwen3 32B (Reasoning)
131k
59
$0.36
643.3
0.20
4.09
3.11
Groq logo
Alibaba logo
QwQ-32B
131k
58
$0.32
420.9
0.24
7.35
5.92
Groq logo
Meta logo
Llama 4 Maverick
128k
51
$0.30
561.8
0.16
1.05
N/A
Groq logo
DeepSeek logo
DeepSeek R1 Distill Llama 70B
128k
48
$0.81
418.7
0.18
6.15
4.78
Groq logo
Alibaba logo
Qwen3 32B
131k
44
$0.36
643.3
0.20
0.98
N/A
Groq logo
Meta logo
Llama 4 Scout
131k
43
$0.17
589.0
0.18
1.03
N/A
Groq logo
Meta logo
Llama 3.3 70B
128k
41
$0.64
441.0
0.22
1.35
N/A
Groq logo
Meta logo
Llama 3 70B
8k
27
$0.64
379.0
0.23
1.55
N/A
Groq logo
Meta logo
Llama 3.1 8B
128k
24
$0.06
835.5
0.13
0.73
N/A
Groq logo
Google logo
Gemma 2 9B
8k
22
$0.20
704.1
0.20
0.91
N/A
Groq logo
Meta logo
Llama 3 8B
8k
21
$0.06
1,349.5
0.28
0.65
N/A

Key definitions

Context window: Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).
Output Speed: Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).
Latency (Time to First Token): Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. For models which do not support streaming, this represents time to receive the completion.
Price: Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
Output Price: Price per token generated by the model (received from the API), represented as USD per million Tokens.
Input Price: Price per token included in the request/message sent to the API, represented as USD per million Tokens.
Time period: Metrics are 'live' and are based on the past 72 hours of measurements, measurements are taken 8 times a day for single requests and 2 times per day for parallel requests.