Model Comparison

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

Meta

Llama 3.2 90B Instruct

Meta

Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. 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 Meta's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

Meta

Llama 3.2 90B Instruct

Meta

2024-09-25

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 90B Instruct

Input:$0.35
Output:$0.40
Microsoft

Phi-3.5-mini-instruct

$0.55 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 90B Instruct

Max Context:256.0K
Parameters:90.0B
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 4 common benchmarks

Meta

Llama 3.2 90B Instruct

+22.9%
Average Score:71.9%
Microsoft

Phi-3.5-mini-instruct

Average Score:48.9%

Performance comparison across key benchmark categories

Meta

Llama 3.2 90B Instruct

general
+18.1%
73.5%
math
+9.9%
70.7%
Microsoft

Phi-3.5-mini-instruct

general
55.4%
math
60.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.2 90B Instruct

5 providers

Together

Throughput: 57 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 24 tok/s
Latency: 0.5ms

Fireworks

Throughput: 50 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Meta

Llama 3.2 90B Instruct

+22.9%
Avg Score:71.9%
Providers:5
Microsoft

Phi-3.5-mini-instruct

Avg Score:48.9%
Providers:1