Magnum v4 72B
Magnum v4 72B • LLM
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).
Specifications
Context Window
16K tokens
Input Price/1M
$3.00
Output Price/1M
$5.00
Parameters
—
Max Output
2K tokens
Information
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Magnum v4 72B
What is Magnum v4 72B?
Magnum v4 72B is an AI model developed by Magnum v4 72B, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 16K tokens, it is suitable for processing short documents and direct prompts.
Pricing & Costs in 2026
Magnum v4 72B is usage-based, priced at $3/1M input tokens and $5/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
We don't have detailed benchmark results for Magnum v4 72B yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Magnum v4 72B is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Magnum v4 72B competes directly with similarly capable models. Magnum v4 72B competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Magnum v4 72B?
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).
How much does Magnum v4 72B cost?
Magnum v4 72B costs $3/1M input tokens and $5/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Magnum v4 72B compare with other models?
We don't have detailed benchmarks for Magnum v4 72B yet. Check the main benchmark page to compare available models.
Is Magnum v4 72B open source?
Yes, Magnum v4 72B is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Magnum v4 72B best for?
Magnum v4 72B excels at general-purpose language tasks.
Last updated: May 24, 2026 • View methodology →