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.

Microsoft

Phi-3.5-vision-instruct

Microsoft

Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Meta

Llama 3.1 405B Instruct

Meta

2024-07-23

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

1 month newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 405B Instruct

Larger context
Max Context:256.0K
Parameters:405.0B
Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B

Performance comparison across key benchmark categories

Meta

Llama 3.1 405B Instruct

math
+43.5%
87.4%
general
73.2%
Microsoft

Phi-3.5-vision-instruct

math
43.9%
general
+2.7%
75.9%

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
Microsoft

Phi-3.5-vision-instruct

0 providers
Meta

Llama 3.1 405B Instruct

Avg Score:0.0%
Providers:8
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0