Anthropic's Claude 3.5 Sonnet Benchmarks Beat GPT-4: What Changed
Claude 3.5 Sonnet outperforms GPT-4 on key benchmarks, technical analysis of improvements and implications for agent builders.
The News: Anthropic's Claude 3.5 Sonnet now outperforms GPT-4 on multiple benchmarks: MMLU (88.7% vs 86.4%), HumanEval coding (92% vs 67%), and instruction following.
Key Improvements:
1. Coding capability leap
HumanEval: 92% (Claude 3.5) vs 67% (GPT-4)
Agents writing code, API calls, or data transformations benefit significantly.
2. Instruction following
Better at following complex multi-step instructions without hallucinating steps.
3. Context coherence
200K token context window with better retention across full context vs GPT-4's 128K.
Implications for Agent Builders:
Switch to Claude 3.5 if:
- Agent writes code or SQL queries
- Long documents (>50K tokens)
- Complex instruction chains
- Cost-sensitive (3x cheaper than GPT-4)
Stick with GPT-4 if:
- Heavily invested in OpenAI ecosystem
- Using GPT-4V (vision) capabilities
- Function calling maturity critical
Test on your own workload:
Run a sample of real queries (for example, support ticket classification) through both models and compare accuracy, latency and cost per 1,000 queries. Benchmarks point the way, but your own data decides.
Sources:
- Anthropic Claude 3.5 Announcement
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