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) | Lightening Fast | Medium | Free (for all messages up to 5000 words, Messages with more than 5000 words uses 0.25 credit per request) | Yes | Yes |
| Braina Pinnacle | 100k Tokens (75k Words) | Medium | High | 4 (0.25 credit per image) | Yes | Yes |
| GPT-4 Omni | 128k Tokens (90k Words) | Medium | High | 3 (0.25 credit per image) | No | Yes |
| GPT 4.5 (Preview) | 128k Tokens (90k Words) | Slow | High | 25 (20 credit per image) | No | Yes |
| Claude 3.5 Sonnet | 200k Tokens (150k Words) | Medium | High | 2.5 (0.5 credit per image) | No | Yes |
| Claude 3.7 Sonnet | 200k Tokens (150k Words) | Medium | High (Reasoning) | 2.5 (0.5 credit per image) | No | Yes |
| Gemini Pro 1.5 | 2 Million Tokens (140K Words) | Medium | High | 3 | No | Yes |
| Gemini Flash 2.0 | 1 Million Tokens (70K Words) | Fast | High | 0.2 | No | Yes |
| Gemini Flash 2.0 (free) | 1 Million Tokens (70K Words) | Fast | High | Free (daily limits apply) | No | No |
| Mistral Large | 128k Tokens (90k Words) | Slow | Medium | 1.5 | No | Yes |
| Llama 3.3 70B | 128k Tokens (90k Words) | Very Fast | Medium | 0.5 | No | Yes |
| o1 | 128k Tokens (90k Words) | Slow | High (Reasoning) | 3 (for Input), 12 (for Output) | No | Yes |
| o3 mini | 200k Tokens (150k Words) | Slow | High (Reasoning) | 3 | 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 4o/4o mini, Google’s Gemini 2.0 Flash, Meta’s Llama 3.3 70B, Mistral Large can be used for Answering questions, Writing articles, Coding Help etc.
- Braina Pinnacle, OpenAI’s o1/o3 mini, GPT 4.5 and Anthropic’s Claude 3.7 Sonnet (Thinking) can be used for any tasks that require Higher Reasoning, Versatility & Accuracy. Please note that GPT 4.5 is very costly.
- GPT-4 Omni, Braina Pinnacle, Gemini Flash 2.0, Claude Sonnet and Pixtral Large are multimodal LLMs and they support images as input.
- Use Braina Swift and Braina Pinnacle when Artificial Brain – Persistent Memory for LLM support is required.
- Use Braina Swift for most general use-cases as it is free to use it for all messages containing up to 5000 words (both input and output).
- Google’s Gemini Flash 2.0 (free) is free, but Google stores and uses your data for training. It also has a per-day message limit. If data privacy is important to you, please use “Google’s Gemini Flash 2.0” (model name without the text “(free)” appended at the end) or other models.