Model Comparison

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

Meta

Llama 3.1 70B Instruct

Meta

Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K token context window for handling large documents. The model is available through 9 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 70B 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 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B
Microsoft

Phi 4 Mini Reasoning

Max Context:-
Parameters:3.8B

Average performance across 1 common benchmarks

Meta

Llama 3.1 70B Instruct

Average Score:41.7%
Microsoft

Phi 4 Mini Reasoning

+10.3%
Average Score:52.0%

Performance comparison across key benchmark categories

Meta

Llama 3.1 70B Instruct

math
83.3%
general
+14.0%
68.7%
Microsoft

Phi 4 Mini Reasoning

math
+11.3%
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 70B Instruct

9 providers

Sambanova

Throughput: 74 tok/s
Latency: 0.5ms

Together

Throughput: 94 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms

Fireworks

Throughput: 32 tok/s
Latency: 0.5ms

Groq

Throughput: 250 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 1204 tok/s
Latency: 0.2ms
Microsoft

Phi 4 Mini Reasoning

0 providers
Meta

Llama 3.1 70B Instruct

Avg Score:41.7%
Providers:9
Microsoft

Phi 4 Mini Reasoning

+10.3%
Avg Score:52.0%
Providers:0