Llama 3.3 70B Instruct vs Qwen3.5 Plus 2026-02-15
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 3.3 70B Instruct and Qwen3.5 Plus 2026-02-15.
Llama 3.3 70B Instruct
Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.
Qwen3.5 Plus 2026-02-15
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
Technical Specifications
| Specification | Llama 3.3 70B Instruct | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 131,072 tokens | 1,000,000 tokens |
| Agent Suitability | 83/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2024-12-06 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.3 70B Instruct
$0.10
Qwen3.5 Plus 2026-02-15
$0.26
Output Price per Million Tokens
Llama 3.3 70B Instruct
$0.32
Qwen3.5 Plus 2026-02-15
$1.56
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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 3.3 70B Instruct Quirks & Gotchas
- ▸Stable, well-documented self-hosted option with strong community support
- ▸Outperformed by Llama 4 Maverick for agentic tool-calling workflows
Qwen3.5 Plus 2026-02-15 Quirks & Gotchas
No developer gotchas reported.