Cohere: Command A vs MoonshotAI: Kimi K3.1 Pro
A side-by-side comparison of Cohere: Command A ($8.75 / 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
| Cohere: Command A | MoonshotAI: Kimi K3.1 Pro | |
|---|---|---|
| Provider | Cohere | Moonshot AI |
| Input | $8.75 / 1M tokens | $7.00 / 1M tokens |
| Output | $35.00 / 1M tokens | $35.00 / 1M tokens |
| Cache read | - | $0.70 / 1M tokens |
| Context window | 256,000 | 1,048,576 |
| Max output | 8,192 | 943,718 |
| Input | text | text, image, video |
| Output | text | text |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Mar 13, 2025 | Oct 23, 2026 |
Key differences
- MoonshotAI: Kimi K3.1 Pro is 20% cheaper on input tokens.
- MoonshotAI: Kimi K3.1 Pro reads 4.1× more context (1,048,576 tokens).
- Only MoonshotAI: Kimi K3.1 Pro supports tool calling.
- Only MoonshotAI: Kimi K3.1 Pro supports reasoning effort control.
- A request with 1,000 input and 500 output tokens costs $0.03 with Cohere: Command A 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 "cohere/command-a" to "moonshotai/kimi-k3.1-pro" 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": "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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