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llm-speedtest

Ping major LLM providers in parallel and compare real API latency. Run with /ping

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/chapati23/llm-speedtest
Or

LLM Speedtest

Ping major LLM providers in parallel and compare real API latency (TTFT).

When to Use

  • User types /ping or asks about model latency/speed
  • Comparing provider response times
  • Checking if a specific provider is slow or down

How It Works

Runs scripts/ping.sh which:

  1. Retrieves API keys from pass shared/ (users may need to adapt key sourcing for their setup)
  2. Fires parallel curl requests to each provider with a minimal prompt ("hi", max_tokens=1)
  3. Measures total round-trip time per provider
  4. Sorts results by latency and displays with color badges

Output Format

Results are sorted fastest-to-slowest with color badges:

  • 🟢 < 2s — Fast
  • 🟔 2–5s — Normal
  • šŸ”“ 5–30s — Slow
  • ⚫ 30s — Timeout

Example:

⚔ Model Latency — 14:32

🟢 `Gemini       412ms`
🟢 `GPT-4o       623ms`
🟢 `Sonnet       891ms`
🟔 `Grok        2104ms`
🟔 `MiniMax     3210ms`
🟔 `Opus        4102ms`

_real API latency (TTFT)_

Models Tested

ProviderModel
AnthropicClaude Sonnet 4
AnthropicClaude Opus 4
OpenAIGPT-4o-mini
GoogleGemini 2.5 Flash
MiniMaxMiniMax-M1
xAIGrok 3 Mini Fast

Cost

~$0.0001 per run (1 token per model, cheapest tiers).

Note

This skill uses pass shared/ for API key retrieval. If you don't use pass, you'll need to adapt scripts/ping.sh to source keys from environment variables or another secret manager.

Metadata

Author@chapati23
Stars3875
Views0
Updated2026-04-07
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-chapati23-llm-speedtest": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.