Overview
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 Magnum v4 72B stacks up
Among the 368 chatbots & llms tools in our directory, it ranks #343 of 355 on quality (6.5/10), 18% below the 355-tool average of 8.0, and its $3/1M input-token rate is in the premium end — 90% pricier than the 345-model average of $1.58/1M.
Weighing quality against cost, Magnum v4 72B's cost-per-quality-point of $0.46 places it at #302 of 327 for value among chatbots & llms tools.
Magnum v4 72B in depth
Magnum v4 72B, built by Anthracite Org, sits in the chatbots & llms space and is a paid tool starting at $3.00/1M tokens. Our editors rate it 6.5 out of 10 based on capability, ecosystem and value. It handles a context window of 32,768 tokens.
On the feature side, Magnum v4 72B brings 32,768-token context window, structured (json) outputs and knowledge cutoff 2024-06-30. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Its biggest strength is can return structured json output for reliable parsing, while the main trade-off to weigh is that above-average api pricing ($3 per 1m input tokens). Keep both in mind when deciding whether it fits your workflow.
Magnum v4 72B is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓32,768-token context window
- ✓Structured (JSON) outputs
- ✓Knowledge cutoff 2024-06-30
Pricing
Pros
- +Can return structured JSON output for reliable parsing
Cons
- −Above-average API pricing ($3 per 1M input tokens)
- −Context window of 32,768 tokens is smaller than most current models
- −Text-only: does not accept image input
Who should use Magnum v4 72B
- →Anyone looking for a chatbots & llms tool from Anthracite Org.
- →Teams and individuals focused on research and writing.
- →People who value can return structured json output for reliable parsing.
- →Workflows that need a 32,768 tokens context window.
Who should look elsewhere
- →Anyone who needs a free tier — this tool is paid only.
- →Those for whom above-average api pricing ($3 per 1m input tokens) is a dealbreaker.
- →Users who can't accept that context window of 32,768 tokens is smaller than most current models.
Best for
10 Best Magnum v4 72B Alternatives in 2026
Magnum v4 72B is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Magnum v4 72B, ranked and compared.
Anthropic
Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…
OpenAI
ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…
Google DeepMind
Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…
Meta
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.
Qwen
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…
Qwen
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding…
Anthropic
Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing…
Anthropic
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work.
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.
Magnum v4 72B vs top alternatives
A side-by-side look at how Magnum v4 72B stacks up against its closest rivals.
| Feature | Magnum v4 72BAnthracite Org | ClaudeAnthropic | ChatGPTOpenAI | GeminiGoogle DeepMind |
|---|---|---|---|---|
| Quality score | 6.5 / 10 | 9.6 / 10 | 9.5 / 10 | 9.2 / 10 |
| Starting price | $3.00/1M tokens | $20/mo | $20/mo | $20/mo |
| Free tier | No | Yes — Free tier available | Yes — Free tier available | Yes — Free tier available |
| API input price | $3 / 1M tokens | $10 / 1M tokens | $0.1 / 1M tokens | $0.1875 / 1M tokens |
| API output price | $5 / 1M tokens | $50 / 1M tokens | $0.6 / 1M tokens | $0.9375 / 1M tokens |
| Speed | — | Fast | Fast | Fast |
| Context window | 32,768 tokens | 200K tokens | 128K tokens | 1M-2M tokens |
| Categories | Chatbots & LLMs | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing |
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Frequently asked questions
Q. Is Magnum v4 72B free?
No — Magnum v4 72B is a paid tool, starting at $3.00/1M tokens.
Q. How much does Magnum v4 72B cost?
Magnum v4 72B starts at $3.00/1M tokens. API usage is around $3 per 1M input tokens and $5 per 1M output tokens.
Q. What is Magnum v4 72B best for?
Magnum v4 72B is best suited to research and writing, within the chatbots & llms category.
Q. What are the best Magnum v4 72B alternatives?
Popular alternatives to Magnum v4 72B include Claude, ChatGPT, Gemini and Google: Gemini 3.7 Flash (batch). Each trades off price, quality and ecosystem differently.
Q. Is there a free alternative to Magnum v4 72B?
Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.
Q. Why switch from Magnum v4 72B?
Common reasons include pricing, specific feature gaps (Above-average API pricing ($3 per 1M input tokens); Context window of 32,768 tokens is smaller than most current models; Text-only: does not accept image input), data-privacy requirements, or simply wanting a tool that fits your stack better.
How we rate AI tools
Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.
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