EssentialAI: Rnj 1 Instruct

Description

Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance across multiple programming languages, tool-use workflows, and agentic execution environments (e.g., mini-SWE-agent).

Raw fields snapshot

{
  "id": "essentialai/rnj-1-instruct",
  "name": "EssentialAI: Rnj 1 Instruct",
  "description": "Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance across multiple programming languages, tool-use workflows, and agentic execution environments (e.g., mini-SWE-agent). ",
  "created": 1765094847,
  "canonical_slug": "essentialai/rnj-1-instruct",
  "hugging_face_id": "EssentialAI/rnj-1-instruct",
  "source_type": "openrouter_only",
  "context_length": 32768,
  "max_completion_tokens": null,
  "is_moderated": false,
  "architecture": {
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "instruct_type": null
  },
  "input_modalities": [
    "text"
  ],
  "output_modalities": [
    "text"
  ],
  "modality": "text->text",
  "tokenizer": "Other",
  "instruct_type": null,
  "supported_parameters": [
    "frequency_penalty",
    "logit_bias",
    "max_tokens",
    "min_p",
    "presence_penalty",
    "repetition_penalty",
    "response_format",
    "stop",
    "structured_outputs",
    "temperature",
    "top_k",
    "top_p"
  ],
  "default_parameters": {
    "temperature": null,
    "top_p": null,
    "frequency_penalty": null
  },
  "per_request_limits": null,
  "top_provider": {
    "context_length": 32768,
    "max_completion_tokens": null,
    "is_moderated": false
  },
  "pricing": {
    "prompt": "0.00000015",
    "completion": "0.00000015"
  },
  "PPM": {
    "prompt": 0.15,
    "completion": 0.15
  },
  "openrouter_raw": {
    "id": "essentialai/rnj-1-instruct",
    "canonical_slug": "essentialai/rnj-1-instruct",
    "hugging_face_id": "EssentialAI/rnj-1-instruct",
    "name": "EssentialAI: Rnj 1 Instruct",
    "created": 1765094847,
    "description": "Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance across multiple programming languages, tool-use workflows, and agentic execution environments (e.g., mini-SWE-agent). ",
    "context_length": 32768,
    "architecture": {
      "modality": "text->text",
      "input_modalities": [
        "text"
      ],
      "output_modalities": [
        "text"
      ],
      "tokenizer": "Other",
      "instruct_type": null
    },
    "pricing": {
      "prompt": "0.00000015",
      "completion": "0.00000015"
    },
    "top_provider": {
      "context_length": 32768,
      "max_completion_tokens": null,
      "is_moderated": false
    },
    "per_request_limits": null,
    "supported_parameters": [
      "frequency_penalty",
      "logit_bias",
      "max_tokens",
      "min_p",
      "presence_penalty",
      "repetition_penalty",
      "response_format",
      "stop",
      "structured_outputs",
      "temperature",
      "top_k",
      "top_p"
    ],
    "default_parameters": {
      "temperature": null,
      "top_p": null,
      "frequency_penalty": null
    },
    "expiration_date": null
  }
}