OmniRouter

Muse Spark 1.2

Muse Spark 1.2 from OmniRouter, with a 1M-token context window. Call it as meta/muse-spark-1.2 through the OpenAI- or Anthropic-compatible endpoint with a Tokens key.

meta/muse-spark-1.2

Get an API key Compare with others

Input, per 1M tokens: ৳171.88$1.38
Output, per 1M tokens: ৳584.38$4.68
Context window: 1M1,000,000 tokens
Available on: Free, Weekly, Monthly, Pay as you go

What it costs in practice

Estimates at the current price. Coding agents send far more input than output; your own mix depends on the agent and the task.

Workload	USD	BDT
One agent turn25K input, 1.5K output	$0.04	৳5.17
An hour of agent work1M input, 60K output	$1.66	৳206.94
A month of daily use20M input, 1.2M output	$33.11	৳4,138.86

Use Muse Spark 1.2

Each setup already points at Tokens with this model selected. Replace the key with one from your dashboard. Quickstart

~/.claude/settings.json

{
  "env": {
    "ANTHROPIC_BASE_URL": "https://tokens.bd",
    "ANTHROPIC_AUTH_TOKEN": "tok_live_your_key",
    "ANTHROPIC_MODEL": "meta/muse-spark-1.2"
  }
}

Configure Claude Code CLI via ~/.claude/settings.json or environment exports.

~/.codex/config.toml

# ~/.codex/config.toml
model = "meta/muse-spark-1.2"
model_provider = "tokens"

[model_providers.tokens]
name = "Tokens"
base_url = "https://tokens.bd/v1"
env_key = "TOKENS_API_KEY"
wire_api = "responses"

# In your shell profile (~/.bashrc, ~/.zshrc):
export TOKENS_API_KEY="tok_live_your_key"

Add a custom model provider to ~/.codex/config.toml and export the key in your shell.

opencode.json

{
  "provider": {
    "tokens": {
      "npm": "@ai-sdk/openai-compatible",
      "options": {
        "baseURL": "https://tokens.bd/v1",
        "apiKey": "tok_live_your_key"
      },
      "models": {
        "meta/muse-spark-1.2": {}
      }
    }
  }
}

Project or global configuration for OpenCode CLI / IDE agent.

Cursor Settings

1. Open Cursor Settings -> Models
2. Under "OpenAI API Key", enter:
   tok_live_your_key
3. Click "Override OpenAI Base URL" and enter:
   https://tokens.bd/v1
4. Click "Add Custom Model" and enter:
   meta/muse-spark-1.2

Add to Cursor: Settings (Gear icon) → Models → Add Custom Model & OpenAI Override.

client.py

from openai import OpenAI

client = OpenAI(
    base_url="https://tokens.bd/v1",
    api_key="tok_live_your_key",
)

response = client.chat.completions.create(
    model="meta/muse-spark-1.2",
    messages=[
        {"role": "system", "content": "You are an expert coding assistant."},
        {"role": "user", "content": "Write a quick hello world in Python"},
    ],
    temperature=0.7,
)

print(response.choices[0].message.content)

Official OpenAI Python library pointing to Tokens endpoint.

request.sh

curl -X POST "https://tokens.bd/v1/chat/completions" \
  -H "Authorization: Bearer tok_live_your_key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/muse-spark-1.2",
    "messages": [
      {"role": "system", "content": "You are an expert coding assistant."},
      {"role": "user", "content": "Write a quick hello world in Python"}
    ],
    "temperature": 0.7
  }'

Raw HTTP POST request to OpenAI-compatible chat completions.

Compare these side by side

Muse Spark 1.2

What it costs in practice

Use Muse Spark 1.2

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