Sao10K: Llama 3.1 Euryale 70B v2.2 vs Tencent: Hy4
A side-by-side comparison of Sao10K: Llama 3.1 Euryale 70B v2.2 ($2.98 / 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
| Sao10K: Llama 3.1 Euryale 70B v2.2 | Tencent: Hy4 | |
|---|---|---|
| Provider | Sao10K | Tencent |
| Input | $2.98 / 1M tokens | $1.46 / 1M tokens |
| Output | $2.98 / 1M tokens | $4.38 / 1M tokens |
| Cache read | - | $0.07 / 1M tokens |
| Context window | 131,072 | 1,048,576 |
| Max output | 16,384 | 65,536 |
| Input | text | text, image |
| Output | text | text |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Aug 28, 2024 | Nov 4, 2026 |
Key differences
- Tencent: Hy4 is 51% cheaper on input tokens.
- Sao10K: Llama 3.1 Euryale 70B v2.2 is 32% cheaper on output tokens.
- Tencent: Hy4 reads 8.0× 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 $0.00446 with Sao10K: Llama 3.1 Euryale 70B v2.2 and $0.00365 with Tencent: Hy4.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "sao10k/l3.1-euryale-70b" to "tencent/hy4" and prompts, streaming and tools keep working.
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);
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