
| Specification |
Value |
| ModelID |
axon-code |
| Description |
Code-gen LLM Model with deep-reasoning |
| Region |
US |
| Context Window Size |
256K tokens |
| Max Output Tokens |
32,768 |
Input Price (<256K) |
$1.0/1M tokens |
Output Price (<256K) |
$4.0/1M tokens |
| Input Modalities |
Text, Image |
| Output Modalities |
Text |
| Capabilities |
Function Calling, Tool Calling, Reasoning |
| Parameters |
480B |
| Floating Point Precision |
FP16 |
Axon Code is based on Qwen 3 480B model, fine tuned on our proprietary dataset
and upgraded with deep reasoning, code generation and state machine
capabilities.
- Production Code: Enterprise-grade, deployable code
- Security: OWASP compliance, vulnerability detection
- Organizational Learning: Adapts to codebase patterns
- Data Privacy: Client data isolation
- Platform Integration: Jira, GitHub, GitLab connectivity
- Deep Reasoner: Deep Reasoner Engine with search and web fetch tool calling
- State Machine: Manages complex workflows and transitions

curl --request POST \
--url https://api.matterai.so/v1/chat/completions \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer MATTER_API_KEY' \
--data '{
"model": "axon-code",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Explain Haskell paradigms"
}
],
"stream": false,
"max_tokens": 1000,
"reasoning": {
"effort": "high",
"summary": "none"
},
"response_format": {
"type": "text"
},
"temperature": 0,
"top_p": 1
}'
import OpenAI from "openai";
const openai = new OpenAI({
apiKey: "MATTER_API_KEY",
baseURL: "https://api.matterai.so/v1",
});
async function main() {
const response = await openai.chat.completions.create({
model: "axon-code",
messages: [
{
role: "system",
content: "You are a helpful assistant.",
},
{
role: "user",
content: "What is Rust?",
},
],
stream: false,
max_tokens: 1000,
reasoning: {
effort: "high",
summary: "none",
},
response_format: {
type: "text",
},
temperature: 0,
top_p: 1,
});
console.log(response.choices[0].message.content);
}
main();
from openai import OpenAI
client = OpenAI(
api_key='MATTER_API_KEY',
base_url='https://api.matterai.so/v1'
)
response = client.chat.completions.create(
model='axon-code',
messages=[
{
'role': 'system',
'content': 'You are a helpful assistant.'
},
{
'role': 'user',
'content': 'What is Rust?'
}
],
stream=False,
max_tokens=1000,
reasoning={
'effort': 'high',
'summary': 'none'
},
response_format={
'type': 'text'
},
temperature=0,
top_p=1
)
print(response.choices[0].message.content)
Integrate Axon Code with Cursor
Integrate Axon Code with Cline
Axon Code recognizes organizational coding patterns across the codebase to
generate code that is consistent with the organization's standards.
Axon Code understands and removes as much as possible anti-patterns in it's
generated code, powered by out deep reasoner, it can pre-detect where
anti-patterns can occur.
Axon Code is well versed with Static Application Security Testing (SAST) to
pre-determine potential security vulnerabilities, there by generating code
that is secure.
Axon Code generates sleek, performant and optimized code that is always fast
to run for your CPU cycles and RAM usage.
Axon Code only writes code that matters, there by reducing the amount of
code you need to generate to get the job done.
Axon Code generates detailed documentation for your code, ensuring that your
code is easy to understand and maintain.
Learn about the core technologies and general integration of Axon models.