Model Comparison

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

IBM

IBM Granite 4.0 Tiny Preview

IBM

IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). 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

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

8 months newer

Performance Metrics

Context window and performance specifications

IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 6 common benchmarks

IBM

IBM Granite 4.0 Tiny Preview

Average Score:58.9%
Microsoft

Phi-3.5-mini-instruct

+5.8%
Average Score:64.7%

Performance comparison across key benchmark categories

IBM

IBM Granite 4.0 Tiny Preview

math
+9.2%
70.1%
code
64.7%
factuality
58.1%
general
49.7%
Microsoft

Phi-3.5-mini-instruct

math
60.9%
code
+1.5%
66.2%
factuality
+5.9%
64.0%
general
+5.7%
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

IBM

IBM Granite 4.0 Tiny Preview

0 providers
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:58.9%
Providers:0
Microsoft

Phi-3.5-mini-instruct

+5.8%
Avg Score:64.7%
Providers:1