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.

Meta

Llama 3.2 11B Instruct

Meta

Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.2 11B Instruct

Meta

2024-09-25

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

7 months newer

Performance Metrics

Context window and performance specifications

IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B
Meta

Llama 3.2 11B Instruct

Larger context
Max Context:256.0K
Parameters:10.6B

Average performance across 1 common benchmarks

IBM

IBM Granite 4.0 Tiny Preview

Average Score:60.4%
Meta

Llama 3.2 11B Instruct

+12.6%
Average Score:73.0%

Performance comparison across key benchmark categories

IBM

IBM Granite 4.0 Tiny Preview

math
+12.7%
70.1%
general
49.7%
Meta

Llama 3.2 11B Instruct

math
57.4%
general
+20.4%
70.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.2 11B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

IBM

IBM Granite 4.0 Tiny Preview

0 providers
Meta

Llama 3.2 11B Instruct

6 providers

Sambanova

Throughput: 100 tok/s
Latency: 0.5ms

Together

Throughput: 168 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 108 tok/s
Latency: 0.5ms

Fireworks

Throughput: 125 tok/s
Latency: 0.2ms

Groq

Throughput: 100 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:60.4%
Providers:0
Meta

Llama 3.2 11B Instruct

+12.6%
Avg Score:73.0%
Providers:6