Over the past five months since the release of Qwen2-VL, developers have built new models based on it, contributing valuable feedback. Now, Qwen2.5-VL introduces enhanced capabilities, including precise analysis of images, text, and charts, as well as object localization with structured JSON outputs. It understands long videos, identifies key events, and functions as an agent, interacting with tools on computers and phones. The model's architecture features dynamic video processing and an optimized ViT encoder for improved speed and accuracy.
Command R+ is Cohere’s cutting-edge generative AI model, engineered for enterprise-grade performance where speed, security, and output quality are critical. Designed to run efficiently with minimal infrastructure, it outperforms top-tier models like GPT-4o and DeepSeek-V3 in both capability and cost-effectiveness. Featuring an extended 256K token context window—twice as large as most leading models—it excels at complex multilingual and agent-based tasks essential for modern business operations. Despite its power, it can be deployed on just two GPUs, making it highly accessible. With blazing-fast throughput of up to 156 tokens per second—about 1.75x faster than GPT-4o—Command R+ delivers exceptional efficiency without compromising accuracy or depth.
| Qwen2.5-VL-32B | Command A | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Mar 25, 2025 4 weeks ago | Mar 14, 2025 1 month ago |
Modalities | text images video | text |
API Providers | - | Cohere, Hugging Face, Major cloud providers |
Knowledge Cut-off Date | Unknown | - |
Open Source | Yes (Source) | Yes |
Pricing Input | $0 | $2.50 per million tokens |
Pricing Output | $0 | $10.00 per million tokens |
MMLU | 78.4% Source | 85.5% Source |
MMLU Pro | 49.5% | Not available |
MMMU | 70% | Not available |
HellaSwag | Not available | Not available |
HumanEval | Not available | Not available |
MATH | 82.2% | 80% Source |
GPQA | 46.0% Diamond | 50.8% Source |
IFEval | Not available | 90.9% Source |
Mobile Application | - | - |
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