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 4 Scout

Meta

Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents Meta's latest advancement in AI technology.

Meta

Llama 4 Scout

Meta

2025-04-05

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

27 days newer

Performance Metrics

Context window and performance specifications

IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B
Meta

Llama 4 Scout

Larger context
Max Context:20.0M
Parameters:109.0B

Average performance across 1 common benchmarks

IBM

IBM Granite 4.0 Tiny Preview

Average Score:60.4%
Meta

Llama 4 Scout

+19.2%
Average Score:79.6%

Performance comparison across key benchmark categories

IBM

IBM Granite 4.0 Tiny Preview

math
70.1%
general
49.7%
code
+14.4%
64.7%
Meta

Llama 4 Scout

math
+0.4%
70.5%
general
+16.6%
66.3%
code
50.3%
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
Meta

Llama 4 Scout

6 providers

Together

Throughput: 106.9 tok/s
Latency: 0.54ms

DeepInfra

Throughput: 76.1 tok/s
Latency: 0.31ms

Fireworks

Throughput: 116.1 tok/s
Latency: 0.53ms

Groq

Throughput: 776.1 tok/s
Latency: 1.08ms

Novita

Throughput: 69.82 tok/s
Latency: 0.85ms

Lambda

Throughput: 139.7 tok/s
Latency: 0.43ms
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:60.4%
Providers:0
Meta

Llama 4 Scout

+19.2%
Avg Score:79.6%
Providers:6