PaLM 2
Google’s PaLM 2 model family, focused on reasoning, coding, and multilingual generation.
Performance Benchmarks
MMLU (General Knowledge)
Measures broad knowledge across 57 subjects
Coding Performance
Code generation, debugging, and understanding
Reasoning & Logic
Complex problem-solving and analytical thinking
Overall Score: 85.8% - Excellent performance, top-tier model
About PaLM 2
Google’s PaLM 2 model family, focused on reasoning, coding, and multilingual generation.
PaLM 2 is designed for multilingual content, coding assistants, enterprise tasks, making it an ideal choice for developers and businesses looking for premium AI capabilities. With a context window of 128k, it can handle large documents and extended conversations.
Priced at $5.00 per million tokens, PaLM 2 offers premium capabilities for mission-critical applications. It's particularly well-suited for code assistants, document summarization, multilingual translation.
Key Strengths
- Strong reasoning
- Excellent multilingual support
- Coding capabilities
- Integration with Google Cloud
- Optimized for long-context
Limitations to Consider
- Closed weights
- Costly deployment
- Limited open-source community
- Occasional hallucinations
- Less flexible customization
Ideal Use Cases
PaLM 2 excels in the following applications and scenarios:
Pricing & Cost Analysis
Premium pricing for advanced features
💡 Cost Tip: For applications processing over 1 billion tokens monthly, consider exploring more cost-effective alternatives for non-critical tasks.
Quick Stats
Top Competitors
Falcon 400B
Technology Innovation InstituteFalcon 400B
Technology Innovation InstituteGopher
DeepMindFrequently Asked Questions
What is PaLM 2 best used for?
PaLM 2 is specifically optimized for multilingual content, coding assistants, enterprise tasks. It excels in code assistants, document summarization, multilingual translation, making it ideal for both individuals and enterprises looking for reliable AI capabilities in these areas.
How much does PaLM 2 cost?
PaLM 2 is priced at $5.00 per million tokens. For typical usage of 10 million tokens per month (approximately 300,000 words), this translates to $50.00 monthly. This premium pricing reflects its advanced capabilities and is suitable for enterprise applications.
How does PaLM 2 compare to GPT-4?
PaLM 2 provides solid performance with a coding score of 85% and reasoning score of 86.5%. At $5.00 per million tokens, it's more cost-effective than GPT-4 Turbo's $10.00 pricing. See detailed comparison →
What is the context window size?
PaLM 2 has a 128k context window, which enables handling of large documents and extended conversations - approximately 96,000 words or 300+ pages.
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