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Superpowers/Catalog/GPT, Claude and Gemini from one key

GPT, Claude and Gemini from one API key

Send the same prompt to OpenAI, Anthropic, Google and hundreds of other models with one Superpowers key, through the REST API or MCP. Every model takes the same input (prompt or messages, max_tokens) and returns the same output (text plus token counts), so switching models changes one string. Models are routed through OpenRouter and billed per call at their token prices plus a small fee; failed calls are free.

from $0.00027 / 1K in + 500 outFailed calls are free386 of 399 providers available nowREST API and MCP

Real example

Call made on 10/08/2026 through Claude Haiku 5.5 via OpenRouter, answered in 2506 ms. From a three-model comparison on the same prompt; Claude's answer shown.

Request
curl -X POST https://superpowers.tools/v1/run \
  -H 'Authorization: Bearer $SUPERPOWERS_KEY' \
  -H 'content-type: application/json' \
  -d '{"tool":"openrouter.anthropic-claude-haiku-5.5","idempotency_key":"example-1","input":{"prompt":"In two sentences, what is the Model Context Protocol and why does it matter for AI agents?","max_tokens":200}}'
Normalized response
{
  "text": "The Model Context Protocol (MCP) is an open standard, introduced by Anthropic in 2024, that defines how AI applications connect to external data sources, tools, and services through a common interface. It matters for AI agents because it replaces one-off, custom integrations with a single standardized way to give models access to real-world context and actions, making agents easier to build, extend, and interoperate across different tools and platforms.",
  "model": "anthropic/claude-haiku-5.5",
  "input_tokens": 37,
  "output_tokens": 130
}

Providers

Same input and output for every provider. Success rate over 30 days shows after 5 real calls.

ProviderPrice per callSuccessStatus
Claude Haiku 5.5$0.000378—Available
GPT-5.4 Mini$0.00324—Available
Gemini 3.8 Flash$0.002835—Available
Claude Sonnet 5.5$0.00756—Available
GPT-5.6 Sol$0.00756—Available
Gemini 3.1 Pro Preview$0.00864—Available
GPT-5 Nano$0.00027—Available
Gemini 2.5 Flash Lite$0.000324—Available
Nemotron 3 Super (free)Free—Available
Nemotron 3 Ultra (free)Free—Available
Lyria 3 Pro PreviewFree—Available
North Mini Code (free)Free—Available

See all 399 on the compare page

Returned fields

textThe model's answer
modelThe model that answered, as named by OpenRouter
input_tokens / output_tokensTokens billed; output includes any reasoning tokens
input: prompt or messagesA single prompt, or a chat history with system and user messages
input: max_tokensUpper limit on output tokens, reasoning included

Use it from your AI agent

Add the MCP server to Claude, Cursor or another client and ask in plain language.

MCP configuration
Claude Code
claude mcp add --transport http superpowers https://superpowers.tools/mcp \
  --header "Authorization: Bearer $SUPERPOWERS_KEY"
Cursor (.cursor/mcp.json)
{
  "mcpServers": {
    "superpowers": {
      "url": "https://superpowers.tools/mcp",
      "headers": {
        "Authorization": "Bearer ${env:SUPERPOWERS_KEY}"
      }
    }
  }
}
Codex
codex mcp add superpowers --url https://superpowers.tools/mcp \
  --bearer-token-env-var SUPERPOWERS_KEY
Ask your agent
“Ask GPT-5.4 mini, Claude Haiku 5.5 and Gemini 3.8 Flash the same question and show me their answers side by side.”

Frequently asked questions

How much does a call cost?

Each model's token price from OpenRouter plus a small fee, charged per call. On 2026-10-08 the same short prompt cost $0.000075 on Claude Haiku 5.5, $0.00039 on GPT-5.4 mini and $0.00081 on Gemini 3.8 Flash. Each model page lists its price per million input and output tokens.

Which was fastest?

In that run GPT-5.4 mini answered in 1.8 s, Gemini 3.8 Flash in 2.1 s and Claude Haiku 5.5 in 2.5 s. That is one run; the compare page shows 30-day averages.

Why did one model return a cut-off answer?

Reasoning models spend part of max_tokens thinking before they write. With max_tokens 200, Gemini 3.8 Flash used 196 tokens and stopped after one phrase; with 1,000 it answered in full (513 output tokens, 5.3 s, $0.0021). Give reasoning models more room.

Can I compare models on my own prompt?

Yes. POST /v1/compare with the category llm.chat and a list of models runs them all on the same input and charges each at its own price; the three-model comparison above cost $0.0013. The compare page does the same in the browser and returns a share link.

How does my AI agent use it?

Add the Superpowers MCP server to Claude, Cursor, Codex or ChatGPT and the agent can call any model with run_tool, or call POST /v1/run with a tool such as openrouter.openai-gpt-5.4-mini. New accounts get $5 of credit.

Start with $5 of credit

Enough for 13,227 calls to Claude Haiku 5.5. No card needed to start.

Create an account