Model Comparison

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

Meta

Llama 3.1 70B Instruct

Meta

Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K 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

Mistral Large 2

Mistral AI

Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Meta

Llama 3.1 70B Instruct

Meta

2024-07-23

Mistral AI

Mistral Large 2

Mistral AI

2024-07-24

1 days newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 70B Instruct

$7.60 cheaper
Input:$0.20
Output:$0.20
Mistral AI

Mistral Large 2

Input:$2.00
Output:$6.00

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 70B Instruct

Max Context:256.0K
Parameters:70.0B
Mistral AI

Mistral Large 2

Max Context:256.0K
Parameters:123.0B

Average performance across 2 common benchmarks

Meta

Llama 3.1 70B Instruct

Average Score:82.0%
Mistral AI

Mistral Large 2

+6.0%
Average Score:88.0%

Performance comparison across key benchmark categories

Meta

Llama 3.1 70B Instruct

math
83.3%
code
76.3%
general
68.7%
Mistral AI

Mistral Large 2

math
+9.7%
93.0%
code
+15.7%
92.0%
general
+14.7%
83.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.1 70B Instruct

9 providers

Sambanova

Throughput: 74 tok/s
Latency: 0.5ms

Together

Throughput: 94 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms

Fireworks

Throughput: 32 tok/s
Latency: 0.5ms

Groq

Throughput: 250 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 1204 tok/s
Latency: 0.2ms
Mistral AI

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Meta

Llama 3.1 70B Instruct

Avg Score:82.0%
Providers:9
Mistral AI

Mistral Large 2

+6.0%
Avg Score:88.0%
Providers:2