Capabilities
7-day heat trend
+3.8%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 78% of tracked models
- Efficiency rank: #227 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About magnum-v4-123b
Anthracite Magnum v4 123B is a large Magnum model card for high-capacity conversational supplier metadata.
magnum-v4-123b is a Text model from Anthracite Org (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 33K-token context window, ~163 tokens/sec throughput and 98.7% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare magnum-v4-123b
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Frequently asked questions
How much does magnum-v4-123b cost per 1M tokens?+
magnum-v4-123b is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is magnum-v4-123b best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is magnum-v4-123b?+
magnum-v4-123b delivers about 163 tokens/sec with 98.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is magnum-v4-123b cheaper than other AI models?+
Within the HotON.ai tracked set, magnum-v4-123b is cheaper than 43% of models on input price and ranks #227 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.