Magnum v4 72Banthracite-org
Magnum v4 72B: $2.50/1M input, $5.00/1M output, 33K context. 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).
API Pricing (per 1M tokens)
| Input | $2.50 |
| Output | $5.00 |
| Cache Read | — |
| Cache Write | — |
| Blended (3:1) | $3.13 |
Specs & Performance
| Context Length | 33K |
| Max Output | 4K |
| Intelligence | — |
| Coding | — |
| Math | — |
| Speed | — |
| TTFT | — |
| CPS Grade | — |
| Input / Output Modalities | text → text |
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FAQ
How much does the Magnum v4 72B API cost?
Magnum v4 72B costs $2.50/1M input tokens and $5.00/1M output tokens. Blended cost at a 3:1 ratio is about $3.13/1M tokens.
What is the context window of Magnum v4 72B?
Magnum v4 72B supports a 33K token context window with up to 4K output tokens.
Is Magnum v4 72B worth it?
Magnum v4 72B has a CPS grade of — (score —), intelligence index —, coding index —. Use the compare page to benchmark against rivals.