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Google: Gemini 4 Argon vs MoonshotAI: Kimi K3.1 Pro

A side-by-side comparison of Google: Gemini 4 Argon ($7.00 / 1M tokens) and MoonshotAI: Kimi K3.1 Pro ($7.00 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

Google: Gemini 4 ArgonMoonshotAI: Kimi K3.1 Pro
ProviderGoogleMoonshot AI
Input$7.00 / 1M tokens$7.00 / 1M tokens
Output$35.00 / 1M tokens$35.00 / 1M tokens
Cache read$0.35 / 1M tokens$0.70 / 1M tokens
Cache write$0.66 / 1M tokens-
Reasoning$35.00 / 1M tokens-
Audio input$7.00 / 1M tokens-
Image$0.000007 / image-
Web search$49.00 / 1K searches-
Context window1,048,5761,048,576
Max output943,718943,718
Inputaudio, file, image, text, videotext, image, video
Outputtexttext
Tool calling
Structured output
Reasoning control
AddedOct 13, 2026Oct 23, 2026

Key differences

  • Both have about the same input price.
  • A request with 1,000 input and 500 output tokens costs $0.02 with Google: Gemini 4 Argon and $0.02 with MoonshotAI: Kimi K3.1 Pro.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "google/gemini-4-argon" to "moonshotai/kimi-k3.1-pro" and prompts, streaming and tools keep working.

Google: Gemini 4 Argon details & playground →MoonshotAI: Kimi K3.1 Pro details & playground →
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api14.com/api/v1",
  apiKey: process.env.API14_API_KEY,
});

const result = await client.chat.completions.create({
  "model": "moonshotai/kimi-k3.1-pro",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

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