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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 Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME25 (87.8%). It supports a 131K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Meta

Llama 3.2 11B Instruct

Meta

2024-09-25

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Alibaba Cloud / Qwen Team

2025-01-10

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 11B Instruct

$1.55 cheaper
Input:$0.05
Output:$0.05
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Input:$0.15
Output:$1.50

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 11B Instruct

Larger context
Max Context:256.0K
Parameters:10.6B
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Max Context:131.1K
Parameters:80.0B

Average performance across 1 common benchmarks

Meta

Llama 3.2 11B Instruct

Average Score:32.8%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

+44.4%
Average Score:77.2%

Performance comparison across key benchmark categories

Meta

Llama 3.2 11B Instruct

general
70.1%
math
+1.1%
57.4%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

general
+7.5%
77.6%
math
56.3%
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 Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

1 providers

Novita

Meta

Llama 3.2 11B Instruct

Avg Score:32.8%
Providers:6
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

+44.4%
Avg Score:77.2%
Providers:1