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

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.

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.

Llama 3.2 11B Instruct
Meta
2024-09-25

Qwen3 235B A22B
Alibaba
2025-04-29
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.2 11B Instruct

Qwen3 235B A22B
Performance Metrics
Context window and performance specifications

Llama 3.2 11B Instruct

Qwen3 235B A22B
Average performance across 4 common benchmarks

Llama 3.2 11B Instruct

Qwen3 235B A22B
Performance comparison across key benchmark categories

Llama 3.2 11B Instruct

Qwen3 235B A22B
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock

Qwen3 235B A22B
Together
DeepInfra
Fireworks
Novita

Llama 3.2 11B Instruct

Qwen3 235B A22B