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 Reasoning

Microsoft

Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). 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 Reasoning

Microsoft

2025-04-30

9 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 Reasoning

Max Context:-
Parameters:3.8B

Average performance across 1 common benchmarks

Meta

Llama 3.1 405B Instruct

Average Score:50.7%
Microsoft

Phi 4 Mini Reasoning

+1.3%
Average Score:52.0%

Performance comparison across key benchmark categories

Meta

Llama 3.1 405B Instruct

math
87.4%
general
+18.5%
73.2%
Microsoft

Phi 4 Mini Reasoning

math
+7.2%
94.6%
general
54.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini Reasoning

2025-02-01

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 Reasoning

0 providers
Meta

Llama 3.1 405B Instruct

Avg Score:50.7%
Providers:8
Microsoft

Phi 4 Mini Reasoning

+1.3%
Avg Score:52.0%
Providers:0