AI Models · Paid vs Paid

o1 Paid vs UNPareto Paid

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

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
UNParetoPaidUnbiased
$2.5 /M input
$7.5 /M outputManaged API (no infra to run)
TypeProprietary
Context window262K tokens
MultimodalYes
Self-hostNo
Choose Pareto for the lower output price ($7.5/M vs $60/M). It also gives you the larger 262K context window.

o1 vs Pareto specs

Speco1ParetoWinner
MakerOpenAIUnbiased–
TypeProprietaryProprietary–
Context window200K tokens262K tokensUNPareto
Input price$15/M$2.5/MUNPareto
Output price$60/M$7.5/MUNPareto
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)–
LicenseProprietaryProprietary–

Price gap & when to choose each

8.0×cheaper per output token

Pareto is ~8.0× cheaper than o1 on output tokens ($7.5 vs $60 per M tokens).

Choose o1 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
UNChoose Pareto if…
  • You want frontier performance through a managed API
  • You need the longer 262K context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

Capabilityo1Pareto
Open weights (downloadable)✗✗
Self-hostable✗✗
Runs fully offline✗✗
Vision / multimodal✓✓
Tool / function calling✓✓
1M+ context window✗✗

Benchmarks: o1 vs Pareto

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

o1
Pareto
Intelligence index
15.2
–
Coding index
39.7
–
GPQA
74.7%
–
MMLU-Pro
84.1%
–
Humanity's Last Exam
7%
–
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
0s
–
Intelligence per $
0.6
–

Benchmark data by Artificial Analysis.

How o1 and Pareto score

🏆 Best value & openness: Pareto (3.1 vs 2.7 / 5)
Criteriono1Pareto
Cost-efficiency2.04.0
Context window4.04.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

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...

Pareto Paid

Unbiased · Proprietary

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

Frequently asked questions

o1 vs Pareto — which is cheaper?

Pareto is cheaper on output ($7.5/M vs $60/M).

Which has the larger context window?

Pareto offers the larger context window (262K tokens).

o1 vs Pareto — which should I pick in 2026?

Choose Pareto for the lower output price ($7.5/M vs $60/M). It also gives you the larger 262K context window.

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