Magnum v4 72B
by Anthracite Org · anthracite-org/magnum-v4-72b · #261 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:34 AM UTC · refreshed hourly
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).
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$3.00
per 1M tokens
Output
$5.00
per 1M tokens
Blended (3:1)
$3.50
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Magnum v4 72B (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $3.50 | $0.311 | — |
| 50% | $3.50 | $0.311 | −0% |
| 90% | $3.50 | $0.311 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.003 | $3.00 |
| Document summary | 8,000 | 1,000 | $0.029 | $29.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.1 | $100.00 |
| Long-context analysis | 150,000 | 5,000 | $0.475 | $475.00 |
Specs
Context window
16K
tokens
Max output
2K
tokens
Input modalities
text
Tokenizer
Qwen