Llama 4 Scout vs Qwen2.5 VL 72B Instruct (Comparative Analysis)
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Comparative Analysis: Llama 4 Scout vs. Qwen2.5 VL 72B Instruct
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Overview
Qwen2.5 VL 72B Instruct was released 2 months before Llama 4 Scout.
 Llama 4 Scout |  Qwen2.5 VL 72B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Meta | Qwen |
Input Context Window Maximum input tokens this model can process at once | 1.3M tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 128K tokens |
Release Date When this model first became publicly available | April 5, 2025 1 year ago April 5th, 2025 | February 1, 2025 1 year ago February 1st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Llama 4 Scout | Qwen2.5 VL 72B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama4 | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Llama 4 Scout is roughly 0.1x less expensive compared to Qwen2.5 VL 72B Instruct for input tokens and roughly 0.3x less expensive for output tokens.
| Llama 4 Scout | Qwen2.5 VL 72B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.10 per million tokens | $0.80 per million tokens |
Output Token Cost Cost per million output tokens | $0.30 per million tokens | $1.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.40 per million tokens |
Benchmarks
Compare relevant benchmarks between Llama 4 Scout and Qwen2.5 VL 72B Instruct.
| Llama 4 Scout | Qwen2.5 VL 72B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 10 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 8.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 1.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 926 Elo (#106 in Data Viz (39.3% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Llama 4 Scout and Qwen2.5 VL 72B Instruct unique.
Llama 4 Scout by Meta understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1.3M token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released April 5th, 2025.Qwen2.5 VL 72B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 128K token context window. Reasonably priced at $0.80/M input and $1.00/M output tokens. Released February 1st, 2025.Explore More Comparisons
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Compare Qwen2.5 VL 72B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
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