MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
Specs
anthracite-org/magnum-v4-72bAbout 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 to use Magnum v4 72B in your app
The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID anthracite-org/magnum-v4-72b:
Prefer no code? Many tools in our AI tools directory run on models like this one.
Questions about Magnum v4 72B
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 big is the context window of Magnum v4 72B?
Magnum v4 72B can read up to 32,768 tokens in one request, roughly 24,576 words.
How much does Magnum v4 72B cost?
Through OpenRouter, Magnum v4 72B costs about $2.50 / 1M tokens for input and $5.00 / 1M tokens for output. Prices change, so check before large jobs.
Is Magnum v4 72B open source?
Magnum v4 72B has open weights, so you can download and run it yourself, subject to its licence.
What can Magnum v4 72B take as input?
Magnum v4 72B accepts text and produces text.
Latest AI models
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
Specs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 22 Oct 2024.