> ## Documentation Index
> Fetch the complete documentation index at: https://docs.matterai.so/llms.txt
> Use this file to discover all available pages before exploring further.
# Axon 2.5 Pro
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## Model Details
| Property | Value |
| -------------- | ------------------ |
| Model ID | `axon-2-5-pro` |
| Context Window | 262,000 tokens |
| Max Output | 64,000 tokens |
| Input Price | \$2.00 / 1M tokens |
| Output Price | \$8.00 / 1M tokens |
| Cached Input | \$1.00 / 1M tokens |
## Capabilities
* Tool Calling
* Structured Outputs
* Web Search
* Text + Image Input
* Text Output
## Quick Start
```bash cURL theme={null}
curl --location 'https://api2.matterai.so/v1/web/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer MATTERAI_API_KEY' \
--data '{
"model": "axon-2-5-pro",
"max_new_tokens": 2048,
"temperature": 0.1,
"messages": [
{
"role": "user",
"content": "Hi"
}
],
"stream": false
}'
```
```javascript JavaScript theme={null}
import OpenAI from "openai";
const client = new OpenAI({
apiKey: "MATTERAI_API_KEY",
baseURL: "https://api2.matterai.so/v1",
});
const response = await client.chat.completions.create({
model: "axon-2-5-pro",
messages: [{ role: "user", content: "Hi" }],
max_tokens: 2048,
temperature: 0.1,
});
console.log(response.choices[0].message.content);
```
```python Python theme={null}
from openai import OpenAI
client = OpenAI(
api_key="MATTERAI_API_KEY",
base_url="https://api2.matterai.so/v1"
)
response = client.chat.completions.create(
model="axon-2-5-pro",
messages=[
{"role": "user", "content": "Hi"}
],
max_tokens=2048,
temperature=0.1
)
print(response.choices[0].message.content)
```
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