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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: anthracite_org_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
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)...
magnum-v4-72b is a Text model from Anthracite Org (US). HotON.ai tracks it at $3.00 per 1M input tokens and $5.00 per 1M output tokens, with a 16K-token context window. Its composite efficiency score is 86/100 at an estimated $0.009 per successful task.
magnum-v4-72b is tracked at $3.00 per 1M input tokens and $5.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $4.50 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
magnum-v4-72b supports up to a 16K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, magnum-v4-72b is cheaper than 9% of models on input price and ranks #445 of 535 by overall efficiency.
Yes — minimax-m2.7 is a lower-cost option at $1.20 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — magnum-v4-72b (Anthracite Org): $3.00/1M input, $5.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/anthracite-org-magnum-v4-72bPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.