Llama 4 appears to offer superior context window size, multilingual support, and transparent pricing. Claude 6 is strong in reasoning and provides fast response times. The choice depends on the specific application, prioritizing context length and cost versus reasoning ability and speed.
| Attribute | Claude 6 | Llama 4 |
|---|---|---|
| Context Window Size | Claude models, such as Claude 3.5 Sonnet, offer a context window of approximately 200,000 tokens. Some enterprise plans may offer an expanded context window of up to 500,000 tokens. The context window for Claude Pro and the API is 200k+ tokens. | Llama 4 Scout: 10 million tokens, Llama 4 Maverick: 1 million tokens |
| Maximum Token Limit | Claude 3 models have a maximum output of 4,096 tokens. | Llama 4 Scout: 10 million tokens, Llama 4 Maverick: 1 million tokens |
| Factual Accuracy | Claude is generally accurate on well-known academic content, but it can occasionally 'hallucinate' or make up answers. It's always a good practice to double-check the information. | 87% accuracy level, strong performance on general knowledge benchmarks |
| Hallucination Rate | Claude 3 Sonnet has a hallucination rate of 6%. The latest data from the Vectara Hallucination Evaluation Leaderboard indicates that Claude 3 Sonnet spiked from 6.0% to 16.3%. | Reduced hallucinations |
| Coding Proficiency | Claude is proficient in Python, Javascript, and Java. Claude Code is an agentic coding tool that integrates with your terminal to streamline development using natural language commands. Claude Code works effectively with virtually any programming language, but some languages provide exceptionally smooth experiences. | Excels in coding tasks and logical reasoning, generates correct code solutions, explains reasoning |
| Multilingual Support | Claude processes input and generates output in most world languages that use standard Unicode characters. Its performance is particularly strong in widely spoken languages. Claude also demonstrates remarkable capabilities in translating texts from French into languages with almost no digital presence, such as Kassonke. | Pre-trained on 200 languages, native support for 12 languages (English, Spanish, French, German, Italian, Portuguese, Chinese, Arabic, Hindi, Japanese, Korean, Indonesian), 10x more multilingual tokens than Llama 3 |
| Reasoning Ability | Claude 3.7 Sonnet Thinking 16K ranks the best in reasoning ability. All Claude 3 models show increased capabilities in analysis and forecasting. | Improved reasoning capabilities |
| Bias and Safety Measures | Claude is built with safety protocols to ensure interactions remain respectful, secure, and free of harmful content. It integrates multiple layers of checks to monitor for potentially unsafe or inappropriate language. Claude employs Constitutional AI, a unique training method based on a written set of ethical principles, to reduce biases. | Pre-training data filtering, post-training safety tuning, system-level safeguards, Llama Guard, Prompt Guard, CyberSecEval |
| API Availability and Pricing | Opus and Sonnet are available to use in the Claude API, which is generally available in 159 countries. The pricing structure for Claude API access was not found in the search results. | Llama 4 Scout API: $0.15/$0.50 per 1 million tokens input/output |
| Customization Options | Fine-tuning is available for Claude 3 Haiku in Amazon Bedrock. Fine-tuning allows organizations to create specialized versions of Claude that understand domain-specific terminology or exhibit specific behavioral patterns. | Open-source fine-tuning |
| Speed of Response | Claude's initial response time is extremely fast, typically well under 1 second even for complex questions. | Fast response times, low latency, Llama 4 Scout: 2,600 tokens per second |
| Memory Retention | Claude can incorporate details from across a longer text without missing relevant info due to its context length. Claude can condense larger documents, extracting key points into a designated word-length summary. | Llama 4 Scout: 10 million tokens, excels in long-context fact retrieval, ~99% accuracy in finding the needle in gigantic inputs |
| Price | Not available | Llama 4 Scout API: $0.15/$0.50 per 1 million tokens input/output. Llama 4 Maverick offers approximately 9-23x better price-performance ratio compared to GPT-4o. |