Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 27.9% higher average benchmark score. Llama 3.2 3B Instruct offers 124.9K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Llama 3.2 3B Instruct is $1.62 cheaper per million tokens. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
Alibaba Cloud / Qwen Team
Qwen3-Next 80B Thinking was created as a reasoning-enhanced variant, designed to incorporate extended analytical capabilities into the Qwen3-Next architecture. Built to handle complex problem-solving with mixture-of-experts efficiency, it serves applications requiring both deep reasoning and computational practicality.
11 months newer

Llama 3.2 3B Instruct
Meta
2024-09-25

Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Cost per million tokens (USD)

Llama 3.2 3B Instruct

Qwen3-Next-80B-A3B-Thinking
Context window and performance specifications
Average performance across 2 common benchmarks

Llama 3.2 3B Instruct

Qwen3-Next-80B-A3B-Thinking
Available providers and their performance metrics

Llama 3.2 3B Instruct
DeepInfra

Qwen3-Next-80B-A3B-Thinking

Llama 3.2 3B Instruct

Qwen3-Next-80B-A3B-Thinking

Llama 3.2 3B Instruct

Qwen3-Next-80B-A3B-Thinking
Novita