Why it worked
The video leverages a compelling data point (cost-effectiveness of AI models) and presents it in a visually engaging way with on-screen text, making a strong argument for the superiority of local models like DeepSeek.
Summary
The video argues that local AI models will win due to their efficiency and cost-effectiveness, highlighting DeepSeek's performance compared to other models. The creator encourages viewers to join their community to learn more about leveraging these models.
Structure
- 1Introduction: Local models will win
- 2Comparison: DeepSeek outperforms Fable on cost and performance
- 3Argument: Efficiency is key to winning
- 4Call to action: Join the community to learn more
Product placement
The video displays a benchmark chart comparing AI models, with DeepSeek V4-Flash highlighted for its performance and low cost. The creator discusses DeepSeek's efficiency and cost-effectiveness.
Call to action
Please join the community if you want to learn more on how to take advantage of this.
On-screen text
Local models will win
Terminal-Bench 2.1
Latest scores, Jul 2026 - price per 1M tokens (in/out)
85.8
82.7
80.5
74.5
GPT-S6 Sol
$5 / $30
DeepSeek V4-Flash
$0.14 / $0.28
Fable 5
$10 / $50
Sonnet S
$3 / $15
IT
ABSURD
COST
UNDER
DOLLAR
OUTPERFORMING
FABLE
ON
BENCH.
BE
PRO
CLOUD,
CHAT
PERSON
JUST
BE
RIDICULOUS.
BECAUSE
MAKING
EFFICIENT.
CRAZY
THAT
MUCH
DISAGREEMENT,
WHEN
THIS.
PLEASE
COMMUNITY
MORE
TO
THIS.