Model Comparison

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

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.

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

IBM Granite 4.0 Tiny Preview

Max Context:-

Parameters:7.0B

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 3 common benchmarks

IBM Granite 4.0 Tiny Preview

Average Score:64.5%

Llama 3.2 3B Instruct

+8.3%

Average Score:72.8%

Performance comparison across key benchmark categories

IBM Granite 4.0 Tiny Preview

code

64.7%

math

+8.8%

70.1%

general

+7.2%

49.7%

Llama 3.2 3B Instruct

code

+12.7%

77.4%

math

61.3%

general

42.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

IBM Granite 4.0 Tiny Preview

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

IBM Granite 4.0 Tiny Preview

Avg Score:64.5%

Providers:0

Llama 3.2 3B Instruct

+8.3%

Avg Score:72.8%

Providers:1