anthracite-org/magnum-v4-72b
प्रकाशन तिथि: 2024-10-22
16,384 context · $3.00/M input tokens · $5.00/M output tokens
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet( and Opus( The model is fine-tuned on top of Qwen2.5 72B.
Pay-per-use
No upfront costs, pay only for what you use
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="anthracite-org/magnum-v4-72b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)anthracite-org magnum-v4-72b
| Specification | Value |
|---|---|
| Provider | Anthracite-Org |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 16384 tokens |
| Max Output | 2048 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $3.3 |
| Output | $5.5 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: anthracite-org/magnum-v4-72b
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="anthracite-org/magnum-v4-72b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "anthracite-org/magnum-v4-72b",
"messages": [{"role": "user", "content": "Hello!"}]
}'anthracite-org/magnum-v4-72b
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet( and Opus( The model is fine-tuned on top of Qwen2.5 72B.
Input
$3 /M
Output
$5 /M
Context
16K
Max Output
2K
Access Magnum V4 72b through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Pricing on WaveSpeedAI: $3.00 per million input tokens and $5.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
Magnum V4 72b supports up to 16K tokens of context with up to 2K tokens of output per request.
Yes. WaveSpeedAI exposes Magnum V4 72b through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Magnum V4 72b before paying per token.