Model Comparison

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

Anthropic

Claude 3 Haiku

Anthropic

Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). The model shows particular specialization in reasoning tasks with an average performance of 87.5%. It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.

Microsoft

Phi 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Anthropic

Claude 3 Haiku

Anthropic

2024-03-13

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

1 year newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3 Haiku

Larger context
Max Context:400.0K
Microsoft

Phi 4 Reasoning

Max Context:-
Parameters:14.0B

Average performance across 1 common benchmarks

Anthropic

Claude 3 Haiku

Average Score:33.3%
Microsoft

Phi 4 Reasoning

+32.5%
Average Score:65.8%

Performance comparison across key benchmark categories

Anthropic

Claude 3 Haiku

code
75.9%
math
67.6%
general
65.1%
Microsoft

Phi 4 Reasoning

code
+0.8%
76.7%
math
+9.0%
76.6%
general
+9.1%
74.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Reasoning

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude 3 Haiku

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 104 tok/s
Latency: 0.5ms

Anthropic

Throughput: 100 tok/s
Latency: 0.5ms
Microsoft

Phi 4 Reasoning

0 providers
Anthropic

Claude 3 Haiku

Avg Score:33.3%
Providers:3
Microsoft

Phi 4 Reasoning

+32.5%
Avg Score:65.8%
Providers:0