Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

11 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B
NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

Max Context:-
Parameters:253.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
84.9%
code
66.1%
general
68.4%
NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

math
+12.1%
97.0%
code
+11.8%
77.9%
general
+5.8%
74.2%
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

0 providers
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3
NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

Avg Score:0.0%
Providers:0