Comprehensive side-by-side LLM comparison
Qwen3-VL Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
NVIDIA
Llama-3.1-Nemotron-Ultra-253B-v1 is a 253-billion-parameter model from NVIDIA, derived from Meta's Llama 3.1 405B using neural architecture search (NAS) compression combined with NVIDIA's Nemotron post-training pipeline, which recovers and exceeds the base model's capability after structural compression. Released in April 2025, it supports toggling between a standard instruction mode and an extended reasoning mode via system prompt, allowing the same model to handle both rapid responses and deliberate chain-of-thought tasks. It is the flagship of the Nemotron family, available open-weight on HuggingFace and through NVIDIA NIM for enterprise inference.
Alibaba / Qwen
Qwen3-VL Flash is a lightweight multimodal variant from Alibaba's Qwen3-VL family, designed for efficient visual reasoning and image understanding at lower inference cost. It inherits the joint visual-textual architecture of the Qwen3-VL series and targets latency-sensitive applications requiring multimodal input processing at scale.
9 months newer

Llama-3.1 Nemotron Ultra 253B
NVIDIA
2025-04-07
Qwen3-VL Flash
Alibaba / Qwen
2026-01-22
Available providers and their performance metrics
Llama-3.1 Nemotron Ultra 253B
Qwen3-VL Flash
Llama-3.1 Nemotron Ultra 253B
Qwen3-VL Flash