In a comparative assessment of Claude 3 Opus and GPT-4’s capabilities, Claude 3 Opus generally demonstrates superior performance across a spectrum of tasks that test for knowledge and reasoning abilities. Claude 3 Opus consistently outperforms GPT-4, with an especially notable advantage in complex reasoning and coding tasks, suggesting it is better suited for applications requiring advanced cognitive processing.
Here are the individual comparisons in bullet points:
- Undergraduate Level Knowledge: Claude 3 Opus scores 86.8%, slightly ahead of GPT-4’s 86.4%.
- Graduate Level Reasoning: Claude 3 Opus has a significant lead with 50.4%, compared to GPT-4’s 35.7%.
- Grade School Math: Claude 3 Opus achieves 95.0%, surpassing GPT-4’s 92.0%.
- Multilingual Math: Claude 3 Opus leads with 90.7%, compared to GPT-4’s 74.5%.
- Coding (HumanEval): Claude 3 Opus scores 84.9%, notably higher than GPT-4’s 67.0%.
- Reasoning Over Text: Claude 3 Opus at 83.1% is ahead of GPT-4’s 80.9%.
- Mixed Evaluations: Claude 3 Opus outperforms with 86.8%, in contrast to GPT-4’s 83.1%.
- Knowledge Q&A: Claude 3 Opus marginally leads with 96.4%, while GPT-4 is close behind at 96.3%.
- Common Knowledge: Claude 3 Opus scores 95.4%, slightly better than GPT-4’s 95.3%.
The overall results indicate that while GPT-4 is a highly competent model, Claude 3 Opus shows enhanced capabilities in dealing with a variety of problem-solving and knowledge-based tasks, possibly making it a more potent tool for tackling sophisticated AI challenges.
I would personally love to see how the gpt-4-turbo and following models weigh up on these benchmarks as well. Hopefully they outperform the opus model even .
Edit:
With the release of GPT-4o, OpenAI also released benchmark evals on old and new models, and these results have been upended by the new model. OpenAI simple-evals benchmark-results The results for the new model surpass the Anthropic Opus across the board seemingly on these repeatable open source evaluations. notably, the gpt-4o model outperforms the opus model on the human eval 91% to 85%, with higher throughput, lower latency, and a fraction of the price. LMSys leaderboards also show a strong preference for the new model above all others.