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 4 Reasoning Plus

Microsoft

Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Meta

Llama 3.2 90B Instruct

Meta

2024-09-25

Microsoft

Phi 4 Reasoning Plus

Microsoft

2025-04-30

7 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 90B Instruct

Larger context
Max Context:256.0K
Parameters:90.0B
Microsoft

Phi 4 Reasoning Plus

Max Context:-
Parameters:14.0B

Average performance across 1 common benchmarks

Meta

Llama 3.2 90B Instruct

Average Score:46.7%
Microsoft

Phi 4 Reasoning Plus

+22.2%
Average Score:68.9%

Performance comparison across key benchmark categories

Meta

Llama 3.2 90B Instruct

math
70.7%
general
73.5%
Microsoft

Phi 4 Reasoning Plus

math
+11.2%
81.9%
general
+5.9%
79.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Reasoning Plus

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

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 4 Reasoning Plus

0 providers
Meta

Llama 3.2 90B Instruct

Avg Score:46.7%
Providers:5
Microsoft

Phi 4 Reasoning Plus

+22.2%
Avg Score:68.9%
Providers:0