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

Qwen3 235B A22B

Alibaba

Qwen3 235B A22B is a language model developed by Alibaba. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). The model shows particular specialization in math tasks with an average performance of 83.3%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

IBM

Granite 3.3 8B Instruct

IBM

2025-04-16

Alibaba

Qwen3 235B A22B

Alibaba

2025-04-29

13 days newer

Performance Metrics

Context window and performance specifications

IBM

Granite 3.3 8B Instruct

Max Context:-
Parameters:8.0B
Alibaba

Qwen3 235B A22B

Larger context
Max Context:256.0K
Parameters:235.0B

Average performance across 4 common benchmarks

IBM

Granite 3.3 8B Instruct

Average Score:71.3%
Alibaba

Qwen3 235B A22B

+19.6%
Average Score:90.9%

Performance comparison across key benchmark categories

IBM

Granite 3.3 8B Instruct

math
75.0%
code
+1.8%
78.3%
general
63.9%
Alibaba

Qwen3 235B A22B

math
+8.3%
83.3%
code
76.6%
general
+10.8%
74.8%
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

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

Qwen3 235B A22B

4 providers

Together

Throughput: 23.74 tok/s
Latency: 0.79ms

DeepInfra

Throughput: 21.74 tok/s
Latency: 1.23ms

Fireworks

Throughput: 68.17 tok/s
Latency: 0.78ms

Novita

Throughput: 38.51 tok/s
Latency: 1.02ms
IBM

Granite 3.3 8B Instruct

Avg Score:71.3%
Providers:0
Alibaba

Qwen3 235B A22B

+19.6%
Avg Score:90.9%
Providers:4