Model Comparison

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

Llama 3.2 3B Instruct

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.

Llama 3.2 3B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.2 3B Instruct

$1.62 cheaper

Input:$0.01

Output:$0.02

Qwen3-Next-80B-A3B-Thinking

Input:$0.15

Output:$1.50

Performance Metrics

Context window and performance specifications

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Qwen3-Next-80B-A3B-Thinking

Max Context:131.1K

Parameters:80.0B

Average performance across 2 common benchmarks

Llama 3.2 3B Instruct

Average Score:55.1%

Qwen3-Next-80B-A3B-Thinking

+27.9%

Average Score:83.0%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

general

42.5%

code

+25.4%

77.4%

reasoning

+13.4%

74.2%

math

+5.0%

61.3%

Qwen3-Next-80B-A3B-Thinking

general

+35.1%

77.6%

code

52.0%

reasoning

60.8%

math

56.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Qwen3-Next-80B-A3B-Thinking

1 providers

Novita

Llama 3.2 3B Instruct

Avg Score:55.1%

Providers:1

Qwen3-Next-80B-A3B-Thinking

+27.9%

Avg Score:83.0%

Providers:1