Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 29.4% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 131.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $3.27 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 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 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
10 months newer

Llama 3.2 3B Instruct
Meta
2024-09-25

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)

Llama 3.2 3B Instruct

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 2 common benchmarks

Llama 3.2 3B Instruct

Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics

Llama 3.2 3B Instruct
DeepInfra

Qwen3-235B-A22B-Thinking-2507

Llama 3.2 3B Instruct

Qwen3-235B-A22B-Thinking-2507

Llama 3.2 3B Instruct

Qwen3-235B-A22B-Thinking-2507
Novita