Llama 4 Maverick vs Qwen2.5 72B Instruct
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 4 Maverick and Qwen2.5 72B Instruct.
Llama 4 Maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Qwen2.5 72B Instruct
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Technical Specifications
| Specification | Llama 4 Maverick | Qwen2.5 72B Instruct |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-04-05 | 2024-09-19 |
API Pricing Comparison
Input Price per Million Tokens
Llama 4 Maverick
$0.15
Qwen2.5 72B Instruct
$0.36
Output Price per Million Tokens
Llama 4 Maverick
$0.60
Qwen2.5 72B Instruct
$0.40
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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 4 Maverick Quirks & Gotchas
No developer gotchas reported.
Qwen2.5 72B Instruct Quirks & Gotchas
No developer gotchas reported.