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OpenRouter: Fusion API Pricing — $-1000000.000 Input / $-1000000.000 Output per 1M Tokens

OpenRouter: Fusion by Openrouter — $-1000000.000 input / $-1000000.000 output per 1M tokens via OpenRouter. Context: 1.0M tokens. Pricing last updated Oct 29, 2026.

Input / 1M tokens
$-1000000.000
Output / 1M tokens
$-1000000.000
Provider
Openrouter
Context window
1.0M tokens
Via
OpenRouter

Cost at common usage volumes

Usage Daily Monthly
Chatbot (100/day)$-175000.0000$-5250000.000
Small app (1K/day)$-1500000.0000$-45000000.000
Mid-scale (10K/day)$-25000000.0000$-750000000.000
Large scale (100K/day)$-600000000.0000$-18000000000.000
Model ID: openrouter/fusion
Data source: OpenRouter public API — updated Oct 29, 2026.
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About OpenRouter: Fusion

OpenRouter: Fusion is an LLM developed by Openrouter. Input costs $-1000000.000 per million tokens and output costs $-1000000.000 per million tokens via OpenRouter. It supports a context window of 1.0M tokens.

Pricing Details

Via the OpenRouter API:

  • Input tokens: $-1000000.000 per 1 million tokens
  • Output tokens: $-1000000.000 per 1 million tokens

A token is roughly 0.75 words. For context: a typical user message of 100 words is approximately 133 tokens; a 500-word system prompt is about 650 tokens.

How Much Does OpenRouter: Fusion Cost?

For a typical chatbot application (1,000 requests/day, 1,000 prompt tokens and 500 output tokens per request):

  • Daily cost: $-1500000.0000
  • Monthly cost: $-45000000.000

Accessing OpenRouter: Fusion via OpenRouter

OpenRouter provides a unified API for 200+ LLMs including OpenRouter: Fusion. You can use it with any OpenAI-compatible SDK by setting the base URL to https://openrouter.ai/api/v1 and using your OpenRouter API key. The model ID is openrouter/fusion.

Compare OpenRouter: Fusion with Other Models

Use the AI Model Cost Comparison tool to compare OpenRouter: Fusion against GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, or any other model side by side. Or use the LLM API Cost Calculator to browse all 456+ models sorted by cost for your specific usage.

Frequently Asked Questions