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Magnum v4 72B

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Magnum v4 72B is a community fine-tune. Behaviour and benchmarks track the upstream base model the fine-tune was trained from. Available via anthracite-org. 32,768-token context. Mid-tier pricing. Inherits weights from an upstream open-weights base; benchmarks track the base model unless the fine-tuner publishes their own.

Magnum v4 72B is a efficient AI model from anthracite-org. It costs $2.500 per million input tokens and $5.000 per million output tokens (blended $3.250/M), with a 32,768-token context window.

INPUT
$2.500/M
per million input tokens
OUTPUT
$5.000/M
per million output tokens
BLENDED 70/30
$3.250/M
unchanged since 3 May
CONTEXT
32,768
tokens
What it is good at
  • Persona/tuning beyond the base model
  • Persona/style adherence beyond the base model
  • Specific domain (RP, instruction, etc.) tuning
  • Inherits base-model capability
Typical use cases
  • Roleplay and creative chat
  • Domain-specific assistants
  • Custom persona deployments

Benchmarks

No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.

Frequently asked questions

How much does Magnum v4 72B cost?

Magnum v4 72B costs $2.500 per million input tokens and $5.000 per million output tokens, for a blended reference rate of $3.250 per million tokens.

What is Magnum v4 72B's context window?

Magnum v4 72B supports up to 32,768 tokens of context in a single request.

What is Magnum v4 72B best for?

Magnum v4 72B is well suited to Persona/tuning beyond the base model, Persona/style adherence beyond the base model and Specific domain (RP, instruction, etc.) tuning.

Who makes Magnum v4 72B?

Magnum v4 72B is developed and served by anthracite-org.

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