Author's Description
From the maker of [Goliath](https://openrouter.ai/models/alpindale/goliath-120b), Magnum 72B is the seventh in a family of models designed to achieve the prose quality of the Claude 3 models, notably Opus & Sonnet. The model is based on [Qwen2 72B](https://openrouter.ai/models/qwen/qwen-2-72b-instruct) and trained with 55 million tokens of highly curated roleplay (RP) data.
Key Specifications
Supported Parameters
This model supports the following parameters:
Performance Summary
Magnum v2 72B, from anthracite-org, demonstrates exceptional speed, consistently ranking among the fastest models available. Its pricing is moderate, offering competitive value within its tier. The model exhibits strong reliability, with an 81st percentile ranking, indicating consistent and usable responses with minimal technical failures. Based on benchmark results, Magnum v2 72B shows mixed performance across categories. In Email Classification, it achieved 94.0% accuracy, placing it in the 29th percentile, suggesting a solid understanding of context and categorization. However, its performance in Reasoning was 0.0% accuracy, indicating a significant weakness in complex problem-solving and multi-step analysis. General Knowledge accuracy was 40.5%, placing it in the 17th percentile, suggesting limitations in handling a broad range of factual queries, particularly more obscure topics. Its strength lies in its speed and reliability, making it suitable for applications where rapid, consistent output is paramount, even if accuracy varies across different cognitive tasks. Its highly curated roleplay data training may contribute to its prose quality but doesn't translate to strong general reasoning or knowledge recall.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $3 |
Completion | $3 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Infermatic
|
Infermatic | anthracite-org/magnum-v2-72b | 32K | $3 / 1M tokens | $3 / 1M tokens |
Featherless
|
Featherless | anthracite-org/magnum-v2-72b | 16K | $3 / 1M tokens | $3 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by anthracite-org
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Magnum v4 72B | Oct 21, 2024 | 72B | 16K |
Text input
Text output
|
★★ | ★★★★★ | $$$$$ |