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Qwen2.5 VL 72B Instruct vs Hy4: API price, context & features · api14

Qwen: Qwen2.5 VL 72B Instruct vs Tencent: Hy4

A side-by-side comparison of Qwen: Qwen2.5 VL 72B Instruct ($2.80 / 1M tokens) and Tencent: Hy4 ($1.46 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	Qwen: Qwen2.5 VL 72B Instruct	Tencent: Hy4
Provider	Qwen	Tencent
Input	$2.80 / 1M tokens	$1.46 / 1M tokens
Output	$3.50 / 1M tokens	$4.38 / 1M tokens
Cache read	$1.40 / 1M tokens	$0.07 / 1M tokens
Context window	128,000	1,048,576
Max output	115,200	65,536
Input	text, image	text, image
Output	text	text
Tool calling
Structured output
Reasoning control
Added	Feb 1, 2025	Nov 4, 2026

Key differences

Tencent: Hy4 is 48% cheaper on input tokens.
Qwen: Qwen2.5 VL 72B Instruct is 20% cheaper on output tokens.
Tencent: Hy4 reads 8.2× more context (1,048,576 tokens).
Only Tencent: Hy4 supports tool calling.
Only Tencent: Hy4 supports reasoning effort control.
A request with 1,000 input and 500 output tokens costs $0.00455 with Qwen: Qwen2.5 VL 72B Instruct and $0.00365 with Tencent: Hy4.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "qwen/qwen2.5-vl-72b-instruct" to "tencent/hy4" and prompts, streaming and tools keep working.

Qwen: Qwen2.5 VL 72B Instruct details & playground →Tencent: Hy4 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": "tencent/hy4",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

Qwen: Qwen2.5 VL 72B Instruct vs Tencent: Hy4

Specifications

Key differences

Switch with one string

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