Model Comparison

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

Meta

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 AI

Ministral 8B Instruct

Mistral AI

Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Meta

Llama 3.1 8B Instruct

Meta

2024-07-23

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 8B Instruct

$0.14 cheaper
Input:$0.03
Output:$0.03
Mistral AI

Ministral 8B Instruct

Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 8B Instruct

Larger context
Max Context:262.1K
Parameters:8.0B
Mistral AI

Ministral 8B Instruct

Max Context:256.0K
Parameters:8.0B

Average performance across 3 common benchmarks

Meta

Llama 3.1 8B Instruct

+17.9%
Average Score:75.1%
Mistral AI

Ministral 8B Instruct

Average Score:57.2%

Performance comparison across key benchmark categories

Meta

Llama 3.1 8B Instruct

reasoning
+9.8%
83.4%
math
+13.9%
68.4%
code
+14.8%
65.8%
general
54.0%
Mistral AI

Ministral 8B Instruct

reasoning
73.6%
math
54.5%
code
51.0%
general
+10.7%
64.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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

Meta

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 AI

Ministral 8B Instruct

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.18ms
Meta

Llama 3.1 8B Instruct

+17.9%
Avg Score:75.1%
Providers:9
Mistral AI

Ministral 8B Instruct

Avg Score:57.2%
Providers:1