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 4 Mini

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). 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 3.1 405B Instruct

Meta

2024-07-23

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

6 months 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 4 Mini

Max Context:-
Parameters:3.8B

Average performance across 6 common benchmarks

Meta

Llama 3.1 405B Instruct

+16.2%
Average Score:79.8%
Microsoft

Phi 4 Mini

Average Score:63.6%

Performance comparison across key benchmark categories

Meta

Llama 3.1 405B Instruct

reasoning
+23.6%
96.9%
math
+15.2%
87.4%
general
+12.4%
73.2%
Microsoft

Phi 4 Mini

reasoning
73.3%
math
72.2%
general
60.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

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 4 Mini

0 providers
Meta

Llama 3.1 405B Instruct

+16.2%
Avg Score:79.8%
Providers:8
Microsoft

Phi 4 Mini

Avg Score:63.6%
Providers:0