Meta: Muse Ember

meta/muse-ember

Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing,...

text

Try in Playground ↗

Input / 1M tokens$0.1

Output / 1M tokens$0.5

Context window1,048,576

Maximum output943,718

Provider-supported parameters

These are upstream capabilities. Jevrouter supports the subset described in the API contract; chat input is currently text only.

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_ktop_pstreamdeveloper_role

Capabilities are imported from OpenRouter’s catalog. This does not mean every model has been independently tested by Jevrouter.

Catalog updated: 2026-11-11T20:54:46.466Z · Price version: cmwb6522t5t8lid102nuwjljf:2

Provider pricing fields · USD per indicated unit

{
  "prompt": "0.0000001",
  "completion": "0.0000005",
  "web_search": "0.0025",
  "input_cache_read": "0.000000004",
  "input_cache_write": "0.000000125"
}

Make a request

curl --no-buffer https://api.jevrouter.io/v1/chat/completions \
  -H "Authorization: Bearer $JEVROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d @- <<'JSON'
{
  "model": "meta/muse-ember",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "max_tokens": 1024
}
JSON

Plan your integration

Connect with the OpenAI Python SDK →Estimate this model’s cost →Budgets, request status and safe retries →

Source: OpenRouter model catalog. Imported descriptions and capabilities are provider declarations, not independent benchmark results. Jevrouter currently uses OpenRouter as its managed upstream.