Model Comparison

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

IBM

Granite 3.3 8B Instruct

IBM

Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

IBM

Granite 3.3 8B Instruct

IBM

2025-04-16

7 months newer

Performance Metrics

Context window and performance specifications

IBM

Granite 3.3 8B Instruct

Max Context:-
Parameters:8.0B
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 6 common benchmarks

IBM

Granite 3.3 8B Instruct

+7.0%
Average Score:71.6%
Microsoft

Phi-3.5-mini-instruct

Average Score:64.7%

Performance comparison across key benchmark categories

IBM

Granite 3.3 8B Instruct

code
+12.1%
78.3%
math
+14.1%
75.0%
factuality
+2.9%
66.9%
general
+8.5%
63.9%
Microsoft

Phi-3.5-mini-instruct

code
66.2%
math
60.9%
factuality
64.0%
general
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Instruct

2024-04-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

IBM

Granite 3.3 8B Instruct

0 providers
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
IBM

Granite 3.3 8B Instruct

+7.0%
Avg Score:71.6%
Providers:0
Microsoft

Phi-3.5-mini-instruct

Avg Score:64.7%
Providers:1