Model Comparison

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

IBM

Granite 3.3 8B Instruct

IBM

Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

Alibaba

QwQ-32B-Preview

Alibaba

QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

IBM

Granite 3.3 8B Instruct

IBM

2025-04-16

4 months newer

Performance Metrics

Context window and performance specifications

IBM

Granite 3.3 8B Instruct

Max Context:-
Parameters:8.0B
Alibaba

QwQ-32B-Preview

Larger context
Max Context:65.5K
Parameters:32.5B

Average performance across 2 common benchmarks

IBM

Granite 3.3 8B Instruct

+4.8%
Average Score:75.1%
Alibaba

QwQ-32B-Preview

Average Score:70.3%

Performance comparison across key benchmark categories

IBM

Granite 3.3 8B Instruct

math
75.0%
code
+28.3%
78.3%
general
+6.3%
63.9%
Alibaba

QwQ-32B-Preview

math
+15.6%
90.6%
code
50.0%
general
57.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Instruct

2024-04-01

QwQ-32B-Preview

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

IBM

Granite 3.3 8B Instruct

0 providers
Alibaba

QwQ-32B-Preview

4 providers

Together

Throughput: 62.14 tok/s
Latency: 0.74ms

Hyperbolic

Throughput: 31.9 tok/s
Latency: 1.05ms

DeepInfra

Throughput: 76.04 tok/s
Latency: 0.44ms

Fireworks

Throughput: 99.15 tok/s
Latency: 0.53ms
IBM

Granite 3.3 8B Instruct

+4.8%
Avg Score:75.1%
Providers:0
Alibaba

QwQ-32B-Preview

Avg Score:70.3%
Providers:4