Model comparison
Magnum v4 72B vs GPT-5
Capability radar, value bars, and side-by-side posture.
Magnum v4 72B
Not scored
value score
GPT-5
94
value score
Magnum v4 72B ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Magnum v4 72B | GPT-5 |
|---|---|---|
| Developer | Anthracite | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | Magnum v4 72B is a 72-billion-parameter open-weight language model from Anthracite, fine-tuned on Qwen2.5-72B-Instruct and optimized for creative writing, roleplay, and character-driven narrative prose. It targets Claude 3 Sonnet/Opus-style prose quality while remaining a fully open, Anthracite-published fine-tune. | OpenAI frontier multimodal model. |