Introducing Pawa Blaze
We’re thrilled to introduce Pawa Blaze, our latest advanced small language model with reasoning, agentic, multimodal, knowledge-heavy tasks and optimized for multilingual understanding and long-context applications.
Features
Low cost
Multilingual
Reasoning
Tools calling
Models Categories
The Pawa Models family is built to power applications ranging from chatbots and assistants to document analysis, search, reasoning and agentic systems. The following are the categories of our models- Chat Models: For chat, agentic, tools calling, reasoning, multilingual & multimodal. Eg.Pawa Ember, Pawa Blaze.
- Text to Speech: For converting text to hearable audio. Eg. Pawa Text To Speech,
- Speech to Text: For converting audio to readable text. Eg. Pawa Speech To Text.
- Embeddings: For converting audio to readable text. Eg. Pawa Embeddings
- Documents Parsing: For converting audio to readable text. Pawa Parsing,
Chat Models
Chat models are designed to handle conversational AI, reasoning, multilingual support, agentic and multimodal inputs. They are ideal for building chatbots, virtual assistants, and agentic systems capable of tool calling and complex problem solving.| Model Name | Alias Name | Description | Input Type | Output Type | Context Length | Status |
|---|---|---|---|---|---|---|
| pawa-v1-ember-20240924 | Pawa Ember | Funny & great for everyday tasks | text | text | 100K | ACTIVE |
| pawa-v1-blaze-20250318 | Pawa Blaze | Fast, visual, tools & most intelligent | text, image | text | 1M | ACTIVE |
Voice Models
Chat models are designed to handle conversational AI, reasoning, multilingual support, agentic and multimodal inputs. They are ideal for building chatbots, virtual assistants, and agentic systems capable of tool calling and complex problem solving.| Model Name | Alias Name | Description | Input Type | Output Type | Status |
|---|---|---|---|---|---|
| pawa-stt-v1-20240701 | Pawa Speech To Text | Converts spoken audio into written text for transcription or analysis. | audio | text | ACTIVE |
| pawa-tts-v1-20250704 | Pawa Text To Speech | Generates high-quality audio from written text for narration or voice assistants. | text | audio | ACTIVE |
Embedding Models
Chat models are designed to handle conversational AI, reasoning, multilingual support, agentic and multimodal inputs. They are ideal for building chatbots, virtual assistants, and agentic systems capable of tool calling and complex problem solving.| Model Name | Alias Name | Description | Input Type | Output Type | Status |
|---|---|---|---|---|---|
| pawa-embeddings-v1-20241001 | Pawa Embeddings | Transforms text into numerical vectors for search, similarity, or AI reasoning tasks. | text | embeddings | ACTIVE |
Parsing Models
Chat models are designed to handle conversational AI, reasoning, multilingual support, agentic and multimodal inputs. They are ideal for building chatbots, virtual assistants, and agentic systems capable of tool calling and complex problem solving.| Model Name | Alias Name | Description | Input Type | Output Type | Status |
|---|---|---|---|---|---|
| pawa-v1-parser-20250809 | Pawa Parsing | Extracts text and structured data from various document formats for analysis or AI processing. | documents | text | ACTIVE |
Additional Information Regarding Models
1.Use web_search_tool for auto realtime updated data
Pawa chat models have no knowledge of current events or data beyond what was present in their training data.To incorporate realtime data with your request, please use builtin web_search_tool, or pass any realtime data using custom tools or RAG as context in your system prompt.
2. For chat models, roles should alternate. Don’t send two same roles mutiple times, use contents instead, to add other informations on that role.
Don’t send two same roles mutiple times, use contents instead, to add other informations on that role for your conversation context.3. For Image input models
- Maximum image size: 25MiB
- Maximum number of images: No limit
- Supported image file types:
jpg/jpegorpng - Any image/text input order is accepted (e.g. text prompt can precede image prompt)
3. For Embedding models
- Maximum document size: 15MiB
- Maximum number of documents: 15, upgrade to get many more.
- Supported file types:
jpg/jpeg,png, “
4. For Voice models
- Maximum document size: 15MiB
- Maximum number of documents: 15, upgrade to get many more.
- Supported file types:
jpg/jpeg,png, “
5. For Parsing models
- Maximum document size: 15MiB
- Maximum number of documents: 15, upgrade to get many more.
- Supported file types:
jpg/jpeg,png, “