Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.1 8B Instruct

Meta

Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Mistral Small

Mistral AI

Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Llama 3.1 8B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.1 8B Instruct

$0.74 cheaper

Input:$0.03

Output:$0.03

Mistral Small

Input:$0.20

Output:$0.60

Performance Metrics

Context window and performance specifications

Llama 3.1 8B Instruct

Larger context

Max Context:262.1K

Parameters:8.0B

Mistral Small

Max Context:65.5K

Parameters:22.0B

Knowledge Cutoff

Training data recency comparison

Llama 3.1 8B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 8B Instruct

9 providers

Sambanova

Throughput: 1050 tok/s

Latency: 0.5ms

Together

Throughput: 194 tok/s

Latency: 0.5ms

Hyperbolic

Throughput: 200 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 118 tok/s

Latency: 0.5ms

Fireworks

Throughput: 292 tok/s

Latency: 0.5ms

Groq

Throughput: 750 tok/s

Latency: 0.5ms

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Lambda

Throughput: 42 tok/s

Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s

Latency: 0.2ms

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

Llama 3.1 8B Instruct

Avg Score:0.0%

Providers:9

Mistral Small

Avg Score:0.0%

Providers:1