Model Comparison

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

Meta

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.

Alibaba

Qwen3 30B A3B

Alibaba

Qwen3 30B A3B is a language model developed by Alibaba. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 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.

Meta

Llama 3.2 11B Instruct

Meta

2024-09-25

Alibaba

Qwen3 30B A3B

Alibaba

2025-04-29

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 11B Instruct

$0.30 cheaper
Input:$0.05
Output:$0.05
Alibaba

Qwen3 30B A3B

Input:$0.10
Output:$0.30

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 11B Instruct

Max Context:256.0K
Parameters:10.6B
Alibaba

Qwen3 30B A3B

Max Context:256.0K
Parameters:30.5B

Average performance across 1 common benchmarks

Meta

Llama 3.2 11B Instruct

Average Score:32.8%
Alibaba

Qwen3 30B A3B

+33.0%
Average Score:65.8%

Performance comparison across key benchmark categories

Meta

Llama 3.2 11B Instruct

general
70.1%
Alibaba

Qwen3 30B A3B

general
+4.8%
74.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.2 11B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.2 11B Instruct

6 providers

Sambanova

Throughput: 100 tok/s
Latency: 0.5ms

Together

Throughput: 168 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 108 tok/s
Latency: 0.5ms

Fireworks

Throughput: 125 tok/s
Latency: 0.2ms

Groq

Throughput: 100 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen3 30B A3B

3 providers

DeepInfra

Throughput: 82.57 tok/s
Latency: 0.84ms

Fireworks

Throughput: 122.4 tok/s
Latency: 0.66ms

Novita

Throughput: 88.84 tok/s
Latency: 0.73ms
Meta

Llama 3.2 11B Instruct

Avg Score:32.8%
Providers:6
Alibaba

Qwen3 30B A3B

+33.0%
Avg Score:65.8%
Providers:3