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arcee-ai/coder-large

arcee-ai/coder-large

32,768 context · $0.50/M input tokens · $0.80/M output tokens

Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...

Pricing

Pay-per-use

No upfront costs, pay only for what you use

Input$0.50 / M Tokens
Output$0.80 / M Tokens

API Usage

Use the following code examples to integrate with our API:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="arcee-ai/coder-large",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

Info

Providerarcee-ai
Typellm

Supported Functionality

Input
Text
Output
Text
Context32,768
Max Output-
Vision-
Function Calling-

API Access Guide

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
Model IDarcee-ai/coder-large

arcee-ai/coder-large

Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...

Input

$0.5 /M

Output

$0.8 /M

Context

33K

Try arcee-ai/coder-large on WaveSpeedAI

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