Model Comparison

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

Meta

Llama 3.3 70B Instruct

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. 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 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 3.3 70B Instruct

Meta

2024-12-06

Microsoft

Phi 4 Reasoning Plus

Microsoft

2025-04-30

4 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.3 70B Instruct

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

Phi 4 Reasoning Plus

Max Context:-
Parameters:14.0B

Average performance across 3 common benchmarks

Meta

Llama 3.3 70B Instruct

Average Score:70.5%
Microsoft

Phi 4 Reasoning Plus

+6.1%
Average Score:76.6%

Performance comparison across key benchmark categories

Meta

Llama 3.3 70B Instruct

code
+12.6%
89.4%
math
+2.2%
84.0%
general
70.7%
Microsoft

Phi 4 Reasoning Plus

code
76.8%
math
81.9%
general
+8.7%
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 3.3 70B Instruct

9 providers

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Fireworks

Throughput: 197 tok/s
Latency: 0.65ms

Groq

Throughput: 268 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms
Microsoft

Phi 4 Reasoning Plus

0 providers
Meta

Llama 3.3 70B Instruct

Avg Score:70.5%
Providers:9
Microsoft

Phi 4 Reasoning Plus

+6.1%
Avg Score:76.6%
Providers:0