Model Cost Profile

Magnum v4 72B

Developer: anthracite-org

Pricing updated Mar 11, 2026

Input rank: #305Output rank: #260

Live Pricing

Input: $3.00

Output: $5.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

The Magnum v4 72B model from anthracite-org offers a substantial context window of 16,384 tokens, making it ideal for applications requiring extensive text analysis, such as legal document review or comprehensive content generation. With an input price of $3.00 per million tokens and an output price of $5.00 per million tokens, teams can effectively manage costs while leveraging its capabilities for projects like customer support automation and advanced data summarization. This model is particularly suited for organizations that need to process large datasets or generate lengthy narratives without sacrificing performance or incurring excessive expenses.

๐Ÿ“‹ Structured Output

Context Window

16,384

Tokens

Input Price / 1M

$3.00

Prompt tokens

Output Price / 1M

$5.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Magnum v4 72B Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$3.00$4.00$5.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$3.00

Current Output / 1M

$5.00

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Magnum v4 72B.

How much does Magnum v4 72B cost per 1M input tokens?

Magnum v4 72B input pricing is $3.00 per 1M tokens based on the latest synced provider data.

How much does Magnum v4 72B cost per 1M output tokens?

Magnum v4 72B output pricing is $5.00 per 1M tokens based on the latest synced provider data.

What context window does Magnum v4 72B support?

Magnum v4 72B supports a context window of 16,384 tokens.

How can I compare Magnum v4 72B with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.