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.
NVIDIA's Llama 3.1 Nemotron 70B is a powerful language model optimized for delivering accurate and informative responses. Built on the Llama 3.1 70B architecture and enhanced with Reinforcement Learning from Human Feedback (RLHF),it achieves top performance in automatic alignment benchmarks. Designed for applications demanding high precision in response generation and helpfulness, this model is well-suited for a wide range of user queries across multiple domains.
| Qwen2.5-VL-32B | Llama 3.1 Nemotron 70B Instruct | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images video | text |
API Providers
| - | OpenRouter |
Knowledge Cut-off Date
| Unknown | - |
Open Source
| Yes (Source) | Yes |
Pricing Input
| $0 | $0.35 per million tokens |
Pricing Output
| $0 | $0.40 per million tokens |
MMLU
| 78.4% Source | 85% 5-shot Source |
MMLU-Pro
| 49.5% | Not available |
MMMU
| 70% | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| Not available | 75% Source |
MATH
| 82.2% | 71% Source |
GPQA
| 46.0% Diamond | Not available |
IFEval
| Not available | Not available |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
Compare AI. Test. Benchmarks. Mobile Apps Chatbots, Sketch
Copyright © 2025 All Right Reserved.