RETRO XL
DeepMind’s large retrieval-augmented model designed for research, academic, and reasoning tasks.
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: 88.5% - Excellent performance, top-tier model
About RETRO XL
DeepMind’s large retrieval-augmented model designed for research, academic, and reasoning tasks.
RETRO XL is designed for retrieval-augmented generation, research, academic reasoning, making it an ideal choice for developers and businesses looking for cost-effective AI capabilities. With a context window of 128k, it can handle large documents and extended conversations.
Priced at $0.00 per million tokens, RETRO XL offers exceptional value for high-volume applications. It's particularly well-suited for academic research ai, document retrieval augmentation, scientific content generation.
Key Strengths
- RAG optimized
- High-quality reasoning
- Strong academic benchmarks
- Open research integration
- Flexible retrieval pipelines
Limitations to Consider
- Closed deployment options
- Complex self-hosting
- Limited enterprise tooling
- High compute
- Limited multimodal support
Ideal Use Cases
RETRO XL excels in the following applications and scenarios:
Pricing & Cost Analysis
Extremely affordable for high-volume applications
💡 Cost Tip: For applications processing over 1 billion tokens monthly, consider this model offers excellent value at scale.
Quick Stats
Top Competitors
Falcon 400B
Technology Innovation InstituteFalcon 400B
Technology Innovation InstituteGopher
DeepMindFrequently Asked Questions
What is RETRO XL best used for?
RETRO XL is specifically optimized for retrieval-augmented generation, research, academic reasoning. It excels in academic research ai, document retrieval augmentation, scientific content generation, making it ideal for both individuals and enterprises looking for reliable AI capabilities in these areas.
How much does RETRO XL cost?
RETRO XL is priced at $0.00 per million tokens. For typical usage of 10 million tokens per month (approximately 300,000 words), this translates to $0.00 monthly. This makes it one of the more affordable options in its category.
How does RETRO XL compare to GPT-4?
RETRO XL offers competitive or superior performance with a coding score of 88% and reasoning score of 88.5%. At $0.00 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?
RETRO XL 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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