Model Comparison

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

Anthropic

Claude 3 Opus

Anthropic

Claude 3 Opus is a multimodal language model developed by Anthropic. This model demonstrates exceptional performance with an average score of 81.6% across 11 benchmarks. It excels particularly in ARC-C (96.4%), HellaSwag (95.4%), GSM8k (95.0%). The model shows particular specialization in reasoning tasks with an average performance of 95.9%. It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.

Anthropic

Claude 3 Opus

Anthropic

2024-02-29

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

7 months newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3 Opus

Larger context
Max Context:400.0K
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Max Context:-
Parameters:70.0B

Average performance across 4 common benchmarks

Anthropic

Claude 3 Opus

+11.8%
Average Score:93.4%
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Average Score:81.6%

Performance comparison across key benchmark categories

Anthropic

Claude 3 Opus

reasoning
+16.1%
95.9%
math
81.9%
code
+11.1%
84.9%
general
+11.0%
75.1%
NVIDIA

Llama 3.1 Nemotron 70B Instruct

reasoning
79.8%
math
+4.7%
86.7%
code
73.8%
general
64.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron 70B Instruct

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude 3 Opus

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 120 tok/s
Latency: 0.5ms

Anthropic

Throughput: 100 tok/s
Latency: 0.5ms
NVIDIA

Llama 3.1 Nemotron 70B Instruct

0 providers
Anthropic

Claude 3 Opus

+11.8%
Avg Score:93.4%
Providers:3
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Avg Score:81.6%
Providers:0