Anthracite · language model
Magnum v4 72B: pricing, context and benchmarks
Magnum v4 72B is a language model from Anthracite released on October 22, 2024. It costs $2.5 per million input tokens and $5 per million output tokens, with a 32.8K-token context window. No independent score has been published for it so far.
What you need to know about Magnum v4 72B
Magnum v4 72B was released by Anthracite on October 22, 2024. It accepts text as input and produces text. Its context window reaches 32,768 tokens, larger than 8 % of the models in the registry, and it can write up to 4,096 tokens in one go.
Released more than 2 years ago, it belongs to a generation most vendors have since superseded.
Magnum v4 72B pricing
On OpenRouter, Magnum v4 72B costs $2.5 per million input tokens and $5 per million output tokens. Counting three tokens read for every token written, its average price is $3.125 per million, more expensive than 77 % of paid models (4.1 times the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0075. At 1,000 tasks a day, budget $225 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Magnum v4 72B. We therefore show no made-up performance rating: only price, context and features count towards its score.
Features, privacy and local use
- It does not support tool calling: it is not suited to driving an AI agent that has to act.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at June 2024.
Its weights are open and downloadable from Hugging Face: you can run it on your own machines without sending your data to a third party.
Verdict
Magnum v4 72B scores 25/100 on our grid, which only uses published figures.
Strengths
- Open weights: self-hostable, your data stays with you.
Limitations
- No tool calling: unusable as an agent's brain.
- No independent score published: performance cannot be verified.
- Older generation, often replaced by a newer model from the same vendor.
- Text only: reads neither images nor files.
Avoid if…
- you process large volumes on a tight budget;
- you are building an agent that must call tools;
- you analyse long documents in one go.
Alternatives
Comparisons and tools
Learn more
Frequently asked questions
How much does Magnum v4 72B cost?
$2.5 per million input tokens and $5 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0075.
How big is Magnum v4 72B's context window?
32,768 tokens, roughly 25,000 words, with a maximum of 4,096 output tokens.
Can Magnum v4 72B run locally?
Yes, its weights are published.
Is Magnum v4 72B suitable for an AI agent?
No: without tool calling it cannot act, only answer.
What are the alternatives to Magnum v4 72B?
The closest models on price and performance are Nano Banana 2.1, Mixtral 8x22B Instruct, and GPT-3.5 Turbo 16k.
Related articles
- Mistral AI: models, pricing and agentsOctober 25, 2026
- LLM benchmarks: how to read model rankingsOctober 24, 2026
- Running a local LLM: hardware, software, and limitationsOctober 24, 2026
- Open-source or closed models for your AI agents?October 5, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score