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Llama 3 8B: API Provider Benchmarking & Analysis

Analysis of API providers for Llama 3 Instruct 8B across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API providers benchmarked include Microsoft Azure, Amazon Bedrock, Groq, Together.ai, Deepinfra, Replicate, and Novita.
Note: Some providers are deprecating their Llama 3 endpoints in favour of Llama 3.1 endpoints
Meta has launched a newer model, Llama 3.1 8B. We suggest considering this model instead of Llama 3 8B. See the following pages for a comparison of Llama 3.1 8B to other models and Llama 3.1 8B API provider benchmarks.
Owner:
Meta
License:
Open
Context window:
8k
Link:

Comparison Summary

Output Speed (tokens/s):Llama 3 8B, Groq logo Groq (1346 t/s) and  Llama 3 8B, Together.ai logo Together.ai (186 t/s) are the fastest providers of Llama 3 8B, followed by  Llama 3 8B, Deepinfra logo Llama 3 8B, Deepinfra,  Llama 3 8B, Amazon logo Llama 3 8B, Amazon &  Llama 3 8B, Azure logo Llama 3 8B, Azure.Latency (TTFT):Llama 3 8B, Deepinfra logo Deepinfra (0.21s) and  Llama 3 8B, Groq logo Groq (0.29s) have the lowest latency for Llama 3 8B, followed by  Llama 3 8B, Amazon logo Llama 3 8B, Amazon,  Llama 3 8B, Azure logo Llama 3 8B, Azure &  Llama 3 8B, Together.ai logo Llama 3 8B, Together.ai.Blended Price ($/M tokens):Llama 3 8B, Deepinfra logo Deepinfra ($0.04) and  Llama 3 8B, Groq logo Groq ($0.06) are the most cost-effective providers for Llama 3 8B, followed by  Llama 3 8B, Together.ai logo Llama 3 8B, Together.ai,  Llama 3 8B, Amazon logo Llama 3 8B, Amazon &  Llama 3 8B, Azure logo Llama 3 8B, Azure.Input Token Price:Llama 3 8B, Deepinfra logo Deepinfra ($0.03) and  Llama 3 8B, Groq logo Groq ($0.05) offer the lowest input token prices for Llama 3 8B, followed by  Llama 3 8B, Together.ai logo Llama 3 8B, Together.ai,  Llama 3 8B, Amazon logo Llama 3 8B, Amazon &  Llama 3 8B, Azure logo Llama 3 8B, Azure.Output Token Price:Llama 3 8B, Deepinfra logo Deepinfra ($0.06) and  Llama 3 8B, Groq logo Groq ($0.08) offer the lowest output token prices for Llama 3 8B, followed by  Llama 3 8B, Together.ai logo Llama 3 8B, Together.ai,  Llama 3 8B, Amazon logo Llama 3 8B, Amazon &  Llama 3 8B, Azure logo Llama 3 8B, Azure.

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:
Note: Long prompts not supported as a context window of at least 10k tokens is required

Summary Analysis

Output Speed vs. Price

Output Speed: Output Tokens per Second; Price: USD per 1M Tokens
Most attractive quadrant
Amazon
Azure
Deepinfra
Groq
Together.ai
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).
Price: Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.
Notes: Llama 3 8B, Groq: 8k context

Latency vs. Output Speed

Latency: Seconds to First Token Received; Output Speed: Output Tokens per Second; 1,000 Input Tokens
Most attractive quadrant
Size represents Price (USD per M Tokens)
Amazon
Azure
Deepinfra
Groq
Together.ai
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).
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.
Notes: Llama 3 8B, Groq: 8k context

Context Window

Context Window: Tokens Limit; Higher is better
Context window: Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).
Variance between providers: While models have their own context window, in cases this is limited by providers.

Pricing: Input and Output Prices

USD per 1M Tokens; Lower is better
Input price
Output price
Input Price: Price per token included in the request/message sent to the API, represented as USD per million Tokens.
Output Price: Price per token generated by the model (received from the API), represented as USD per million Tokens.
Notes: Llama 3 8B, Groq: 8k context

Speed

Measured by Output Speed (tokens per second)

Output Speed

Output Tokens per Second; Higher is better
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).
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.
Notes: Llama 3 8B, Groq: 8k context

Output Speed Variance

Output Tokens per Second; Results by percentile; Higher is better; 1,000 Input Tokens
Median, Other points represent 5th, 25th, 75th, 95th Percentiles respectively
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).
Boxplot: Shows variance of measurements
Picture of the author
Notes: Llama 3 8B, Groq: 8k context

Output Speed by Input Token Count (Context Length)

Output Tokens per Second; Higher is better
100 input tokens
1k input tokens
Input Tokens Length: Length of tokens provided in the request. See Prompt Options above to see benchmarks of different input prompt lengths across other charts.
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).
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.
Notes: Llama 3 8B, Groq: 8k context

Latency

Measured by Time (seconds) to First Token

Time to First Token

Seconds to First Token Received; Lower is better; 1,000 Input Tokens
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.
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

Time to First Token Variance

Seconds to First Token Received; Results by percentile; Lower median is better; 1,000 Input Tokens
Median, Other points represent 5th, 25th, 75th, 95th Percentiles respectively
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.
Boxplot: Shows variance of measurements
Picture of the author

Latency by Input Token Count (Context Length)

Seconds to First Token Received; Lower is better
100 input tokens
1k input tokens
Input Tokens Length: Length of tokens provided in the request. See Prompt Options above to see benchmarks of different input prompt lengths across other charts.
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.
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

End-to-End Response Time

Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time vs. Price

End-to-End Response Time: End-to-End Seconds to Output 500 Tokens; Price: USD per 1M Tokens
Most attractive quadrant
Amazon
Azure
Deepinfra
Groq
Together.ai
Price: Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
End-to-End Response Time: Seconds to receive a 500 token response considering input processing time, 'thinking' time of reasoning models, and output speed.
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

End-to-End Response Time

Seconds to Output 500 Tokens, including reasoning model 'thinking' time; Lower is better; 1,000 Input Tokens
Input processing time
'Thinking' time (reasoning models)
Outputting time
End-to-End Response Time: Seconds to receive a 500 token response. Key components:
  • Input time: Time to receive the first response token
  • Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
  • Answer time: Time to generate 500 output tokens, based on output speed
Standardized Reasoning Tokens: For fair comparison, the number of reasoning tokens is standardized across all providers for each model based on the model's representative query token counts.
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

End-to-End Response Time by Input Token Count (Context Length)

Seconds to Output 500 Tokens, including reasoning model 'thinking' time; Lower is better
100 input tokens
1k input tokens
Input Tokens Length: Length of tokens provided in the request. See Prompt Options above to see benchmarks of different input prompt lengths across other charts.
End-to-End Response Time: Seconds to receive a 500 token response considering input processing time, 'thinking' time of reasoning models, and output speed.
Median: Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.
Notes: Llama 3 8B, Groq: 8k context

API Features

Function (Tool) Calling & JSON Mode

ModelsFunction callingJSON Mode
Amazon logoAmazon
Azure logoAzure
Deepinfra logoDeepinfra
Groq logoGroq
Together.ai logoTogether.ai
Function (Tool) Calling: Indicates whether the provider supports function calling in their API. Function calling is also known as 'Tool Calling'.
JSON Mode: Indicates whether the provider supports JSON mode in their API. When JSON mode is enabled, the models will always return a valid JSON object.

Summary Table of Key Comparison Metrics

Features
Model Intelligence
Price
Output tokens/s
Latency
End-to-End Response Time
Amazon Bedrock logo
Meta logo
Llama 3 8B
8k
21
$0.38
103.7
0.30
5.12
N/A
Microsoft Azure logo
Meta logo
Llama 3 8B
8k
21
$0.38
73.8
0.37
7.15
N/A
Deepinfra logo
Meta logo
Llama 3 8B
8k
21
$0.04
114.3
0.21
4.59
N/A
Groq logo
Meta logo
Llama 3 8B
8k
21
$0.06
1,345.7
0.29
0.67
N/A
Together.ai logo
Meta logo
Llama 3 8B
8k
21
$0.20
186.3
0.47
3.15
N/A