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 3.3 70B Instruct

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

4 months newer

Performance Metrics

Context window and performance specifications

IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B
Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B

Average performance across 3 common benchmarks

IBM

IBM Granite 4.0 Tiny Preview

Average Score:68.6%
Meta

Llama 3.3 70B Instruct

+20.2%
Average Score:88.8%

Performance comparison across key benchmark categories

IBM

IBM Granite 4.0 Tiny Preview

code
64.7%
math
70.1%
general
49.7%
Meta

Llama 3.3 70B Instruct

code
+24.7%
89.4%
math
+14.0%
84.0%
general
+21.0%
70.7%
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 3.3 70B Instruct

9 providers

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Fireworks

Throughput: 197 tok/s
Latency: 0.65ms

Groq

Throughput: 268 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:68.6%
Providers:0
Meta

Llama 3.3 70B Instruct

+20.2%
Avg Score:88.8%
Providers:9