Llama 3.2 3B Instruct vs Qwen3 Coder Next
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.2 3B Instruct and Qwen3 Coder Next.
Llama 3.2 3B Instruct
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Qwen3 Coder Next
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...
Technical Specifications
| Specification | Llama 3.2 3B Instruct | Qwen3 Coder Next |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 131,072 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2026-02-04 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 3B Instruct
$0.05
Qwen3 Coder Next
$0.11
Output Price per Million Tokens
Llama 3.2 3B Instruct
$0.33
Qwen3 Coder Next
$0.80
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 3.2 3B Instruct Quirks & Gotchas
No developer gotchas reported.
Qwen3 Coder Next Quirks & Gotchas
No developer gotchas reported.