TheDrummer: Skyfall 36B V2

Public pricingIntelligence 79/100Medium memory

TheDrummer: Skyfall 36B V2 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、33K tokensのコンテキスト、バランス型コスト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

$0.55/1M

Output

$0.80/1M

Cached

$0.25/1M

Batch

$0.28/1M

Calculate your Skyfall 36B V2 bill.

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Technical specifications

Skyfall 36B V2 at a glance.

Memory

32,768

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Mar 2025

Training cutoff

Oct 2023

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 Skyfall 36B V2

  • High-volume workloads where unit cost matters.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

Skyfall 36B V2 — 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, Skyfall 36B V2 costs roughly $73 per month. Input is $0.55 /1M tokens and output is $0.80 /1M tokens.
Skyfall 36B V2 has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.
Skyfall 36B V2 was released in March 2025, with training data cut off around October 2023.
Models in a similar class include UnslopNemo 12B, Cydonia 24B V4.1, Rocinante 12B. The "Similar models" section below this FAQ links into each.

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