AI Models · Paid vs Paid

o1 Paid vs GPT Audio Paid

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

o1 — full profile › · GPT Audio — 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

GPT AudioPaidOpenAI

$2.5 /M input
$10 /M outputManaged API (no infra to run)

TypeProprietary

Context window128K tokens

MultimodalNo

Self-hostNo

Choose GPT Audio for the lower output price ($10/M vs $60/M). Choose o1 if you need the larger 200K context window.

o1 vs GPT Audio specs

Spec	o1	GPT Audio	Winner
Maker	OpenAI	OpenAI	–
Type	Proprietary	Proprietary	–
Context window	200K tokens	128K tokens	o1
Input price	$15/M	$2.5/M	GPT Audio
Output price	$60/M	$10/M	GPT Audio
Vision / multimodal	Yes	No	o1
Tool / function calling	Yes	Yes	= Tie
Self-hostable	No (API only)	No (API only)	–
License	Proprietary	Proprietary	–

Price gap & when to choose each

6.0×cheaper per output token

GPT Audio is ~6.0× cheaper than o1 on output tokens ($10 vs $60 per M tokens).

Choose o1 if…

You want frontier performance through a managed API
You need the longer 200K context window
You value reliability & ecosystem
You don't want to manage infrastructure

Choose GPT Audio if…

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

Feature comparison

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

Benchmarks: o1 vs GPT Audio

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

GPT Audio

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 GPT Audio score

🤝 Neck and neck on these criteria (2.7 vs 2.6 / 5).

Criterion	o1	GPT Audio
Cost-efficiency	2.0	3.5
Context window	4.0	3.5
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...

GPT Audio Paid

OpenAI · Proprietary

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...

Frequently asked questions

o1 vs GPT Audio — which is cheaper?

GPT Audio is cheaper on output ($10/M vs $60/M).

Which has the larger context window?

o1 offers the larger context window (200K tokens).

o1 vs GPT Audio — which should I pick in 2026?

Choose GPT Audio for the lower output price ($10/M vs $60/M). Choose o1 if you need the larger 200K context window.

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