Model Comparison

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

Meta

Llama 3.1 405B Instruct

Meta

Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Mistral AI

Pixtral Large

Mistral AI

Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Meta

Llama 3.1 405B Instruct

Meta

2024-07-23

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.1 405B Instruct

$6.22 cheaper
Input:$0.89
Output:$0.89
Mistral AI

Pixtral Large

Input:$2.00
Output:$6.00

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 405B Instruct

Max Context:256.0K
Parameters:405.0B
Mistral AI

Pixtral Large

Max Context:256.0K
Parameters:124.0B

Performance comparison across key benchmark categories

Meta

Llama 3.1 405B Instruct

general
73.2%
math
+18.0%
87.4%
Mistral AI

Pixtral Large

general
+17.7%
91.0%
math
69.4%

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.1 405B Instruct

8 providers

Together

Throughput: 35 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 40 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 27 tok/s
Latency: 0.5ms

Google

Throughput: 42 tok/s
Latency: 0.4ms

Fireworks

Throughput: 78 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Mistral AI

Pixtral Large

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Meta

Llama 3.1 405B Instruct

Avg Score:0.0%
Providers:8
Mistral AI

Pixtral Large

Avg Score:0.0%
Providers:1