Anthracite: Magnum v4 72B

Public pricingIntelligence 79/100Small memory

Magnum v4 72B は テキスト モデルで、汎用チャット、分析、業務利用 に向いています。安定した汎用性能、16K tokensのコンテキスト、プレミアムの特性を組み合わせ、general chat, analysis, and production workloads で安定した動作を支えます。品質・速度・コスト が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$3.00/1M

Output

$5.00/1M

Cached

$0.30/1M

Batch

$1.50/1M

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Technical specifications

Magnum v4 72B at a glance.

Memory

16,384

tokens

Max reply

2,048

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

qwen

Released

Oct 2024

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Magnum v4 72B

  • Magnum v4 72B fits general-purpose text tasks within its memory tier.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

Magnum v4 72B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Magnum v4 72B costs roughly $425 per month. Input is $3.00 /1M tokens and output is $5.00 /1M tokens.
Magnum v4 72B has a 16,384-token context window (small memory — a few emails or a short document). That means you can fit about 3,072 words of input and history in a single call.
Magnum v4 72B was released in October 2024, with training data cut off around June 2024.
Models in a similar class include Claude 3.7 Sonnet, Claude 3.7 Sonnet (thinking), Claude Sonnet 4. The "Similar models" section below this FAQ links into each.

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