AI Models · Paid vs Paid

o1 Paid vs SCExtract Paid

o1 vs Extract compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

o1 — full profile › · Extract — full profile ›

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

o1PaidOpenAI

$15 /M input
$60 /M outputManaged API (no infra to run)

TypeProprietary

Context window200K tokens

MultimodalYes

Self-hostNo

SCExtractPaidScaledown

$0.04 /M input
Free /M outputManaged API (no infra to run)

TypeProprietary

Context window1M tokens

MultimodalYes

Self-hostNo

Choose Extract for the lower output price (Free/M vs $60/M). It also gives you the larger 1M context window.

o1 vs Extract specs

Spec	o1	Extract	Winner
Maker	OpenAI	Scaledown	–
Type	Proprietary	Proprietary	–
Context window	200K tokens	1M tokens	SCExtract
Input price	$15/M	$0.04/M	SCExtract
Output price	$60/M	Free/M	SCExtract
Vision / multimodal	Yes	Yes	= Tie
Tool / function calling	Yes	No	o1
Self-hostable	No (API only)	No (API only)	–
License	Proprietary	Proprietary	–

Price gap & when to choose each

Choose o1 if…

You want frontier performance through a managed API
You value reliability & ecosystem
You don't want to manage infrastructure

SCChoose Extract if…

You want frontier performance through a managed API
You need the longer 1M context window
You want the lower output price
You value reliability & ecosystem
You don't want to manage infrastructure

Feature comparison

Capability	o1	Extract
Open weights (downloadable)	✗	✗
Self-hostable	✗	✗
Runs fully offline	✗	✗
Vision / multimodal	✓	✓
Tool / function calling	✓	✗
1M+ context window	✗	✓

Benchmarks: o1 vs Extract

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Extract

Intelligence index

15.2

–

Coding index

39.7

–

GPQA

74.7%

–

MMLU-Pro

84.1%

–

Humanity's Last Exam

–

Long Context Reasoning

65%

–

LiveCodeBench

67.9%

–

MATH-500

97%

–

AIME

72.3%

–

IFBench

70.3%

–

τ²-Bench

62.6%

–

Terminal-Bench Hard

12.9%

–

Speed

0 tok/s

–

Latency

–

Intelligence per $

0.6

–

Benchmark data by Artificial Analysis.

How o1 and Extract score

🏆 Best value & openness: Extract (3.2 vs 2.7 / 5)

Criterion	o1	Extract
Cost-efficiency	2.0	5.0
Context window	4.0	5.0
Openness	1.5	1.5
Self-hosting	1.0	1.0
Multimodality	5.0	3.5

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

o1 Paid

OpenAI · Proprietary

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

Extract Paid

Scaledown · Proprietary

Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `provider.options.scaledown.entities`, and the...

Frequently asked questions

o1 vs Extract — which is cheaper?

Extract is cheaper on output (Free/M vs $60/M).

Which has the larger context window?

Extract offers the larger context window (1M tokens).

o1 vs Extract — which should I pick in 2026?

Choose Extract for the lower output price (Free/M vs $60/M). It also gives you the larger 1M context window.

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