Llama 4 Maverick vs Qwen2.5 VL 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 VL 72B Instruct.
Llama 4 Maverick
Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.
Qwen2.5 VL 72B Instruct
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Technical Specifications
| Specification | Llama 4 Maverick | Qwen2.5 VL 72B Instruct |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 89/100 | N/A |
| Time to First Token (TTFT) | 300 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-25 | 2025-02-01 |
API Pricing Comparison
Input Price per Million Tokens
Llama 4 Maverick
$0.15
Qwen2.5 VL 72B Instruct
$0.80
Output Price per Million Tokens
Llama 4 Maverick
$0.60
Qwen2.5 VL 72B Instruct
$1.00
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Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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
- ▸Self-hostable via Ollama/Docker — ideal for on-premise deployments
- ▸Requires specific system prompt for optimal function calling reliability
Qwen2.5 VL 72B Instruct Quirks & Gotchas
No developer gotchas reported.