Large language models (LLMs) are a type of artificial intelligence (AI) that has been trained on a massive amount of text data. This training allows LLMs to understand and generate human-like text, making them useful for a variety of tasks, such as answering questions, writing articles, and translating languages.
Braina allows users to interact with all major LLMs at one place using voice commands and text to speech. The following table compares the different LLMs (or Advanced AI Chat engines) that can be used with Braina software:
| Model Name | Context Limit | Response Time | Generation Quality | Credits Cost per Request | Artificial Brain Support | Data Privacy |
|---|---|---|---|---|---|---|
| Braina Swift | 200k Tokens (150k Words) | Fast | Medium | 0.5 | Yes | Yes |
| Braina Pinnacle | 100k Tokens (75k Words) | Medium | High | 4 (0.25 credit per image) | Yes | Yes |
| GPT-3.5-Turbo | 16k Tokens (12k Words) | Fast | Medium | 0.5 | No | Yes |
| GPT-4 Omni | 128k Tokens (90k Words) | Medium | High | 3 (0.25 credit per image) | No | Yes |
| GPT-4-Turbo | 128k Tokens (90k Words) | Medium | High | 5 (0.5 credit per image) | No | Yes |
| Claude 3 Haiku | 200k Tokens (150k Words) | Fastest | Low | 0.5 | No | Yes |
| Claude 3 Sonnet | 200k Tokens (150k Words) | Medium | Medium | 2 | No | Yes |
| Claude 3 Opus | 200k Tokens (150k Words) | Medium | High | 8 | No | Yes |
| Gemini Flash 1.5 | 1 Million Tokens (70K Words) | Medium | Medium | 0.25 | No | Yes |
| Gemini Pro (free) | 32k Tokens (24k Words) | Medium | Medium | 0 (free) | No | No |
| Gemini Pro Vision (free) | 16k Tokens (12k Words) | Medium | Medium | 0 (free) | No | No |
| Gemini Pro 1.5 | 2 Million Tokens (140K Words) | Medium | High | 3 | No | Yes |
| Llama 3 8B | 32k Tokens (24k Words) | Lightening Fast | Lowest | 0.1 | No | Yes |
| Llama 3 8B | 32k Tokens (24k Words) | Fast | Medium | 0.5 | No | Yes |
| Mistral Small | 32k Tokens (24k Words) | Fastest | Low | 0.5 | No | Yes |
| Mistral Medium | 32k Tokens (24k Words) | Slow | Medium | 2 | No | Yes |
| Mistral Large | 32k Tokens (24k Words) | Slow | High | 4 | No | Yes |
Different LLMs have different method for request calculation. For latest LLM pricing details and request definition, please visit: https://braina.me/quotas/
LLM Comparison Summary
Different LLMs have different characteristics and the right LLM for you will depend on your use-cases and budget. Here are few points to guide you:
- Braina Swift, OpenAI’s GPT-3.5-Turbo, Google’s Gemini Pro (free), Meta’s Llama 3 70B, Mistral Medium, Claude Haiku, Claude Sonnet & Mistral Small can be used for Answering questions, Writing articles, Coding Help etc.
- Braina Pinnacle, OpenAI’s GPT-4 Turbo/Omni, Anthropic’s Claude 3 Opus & Mistral Large can be used for any tasks that require Higher Reasoning, Versatility & Accuracy.
- GPT-4 Omni, GPT-4-Turbo, Braina Pinnacle, Gemini Flash 1.5, Gemini Pro 1.5 and Google Gemini Pro Vision are multimodal LLMs and they support images as input. Please note that Google Gemini Pro Vision does not support multi-turn conversations.
- Use Braina Swift and Braina Pinnacle when Artificial Brain – Persistent Memory for LLM support is required.
- Use Braina Swift or GPT-3.5 Turbo for most general use-cases. Braina Swift is better than GPT-3.5-Turbo.
- GPT-4 Omni, Claude Opus, Braina Pinnacle, GPT-4-Turbo and Gemini Pro 1.5 are the best and most powerful LLM.
- Llama 3 8B is the cheapest and fastest LLM.
- LLama 3 70B is better than GPT-3.5 and faster.
- Google’s Gemini Pro (free) and Gemini Pro Vision (free) are free but Google stores and uses your data for training. Gemini Pro (free) also has a per day message limit. If data privacy is important, please use other models.
- Use Claude 3 Opus over GPT-4 when your use-case require language understanding, large text processing or higher context. For other cases, GPT-4 and Claude 3 Opus are similar.
- GPT-4 Omni is better, cheaper and faster than GPT-4-Turbo.