+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.1 vs Llama-3.1 Nemotron Ultra 253B
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
+
+
+
+
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.
4 months newer
Llama-3.1 Nemotron Ultra 253B
NVIDIA
2025-04-07
DeepSeek-V3.1
DeepSeek
2025-08-21
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.1
1 providers
DeepSeek
+
+
+
+
Llama-3.1 Nemotron Ultra 253B
0 providers
+
+
+
+
DeepSeek-V3.1
Avg Score:0.0%
Providers:1
+
+
+
+
Llama-3.1 Nemotron Ultra 253B
Avg Score:0.0%
Providers:0