AI Models · Paid vs Paid

o1 Paid vs RERelace Apply 3 Paid

o1 vs Relace Apply 3 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
RERelace Apply 3PaidRelace
$0.85 /M input
$1.25 /M outputManaged API (no infra to run)
TypeProprietary
Context window256K tokens
MultimodalNo
Self-hostNo
Choose Relace Apply 3 for the lower output price ($1.25/M vs $60/M). It also gives you the larger 256K context window.

o1 vs Relace Apply 3 specs

Speco1Relace Apply 3Winner
MakerOpenAIRelace
TypeProprietaryProprietary
Context window200K tokens256K tokensRERelace Apply 3
Input price$15/M$0.85/MRERelace Apply 3
Output price$60/M$1.25/MRERelace Apply 3
Vision / multimodalYesNoo1
Tool / function callingYesNoo1
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

48×cheaper per output token

Relace Apply 3 is ~48× cheaper than o1 on output tokens ($1.25 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
REChoose Relace Apply 3 if…
  • You want frontier performance through a managed API
  • You need the longer 256K context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

Capabilityo1Relace Apply 3
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: o1 vs Relace Apply 3

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

o1
Relace Apply 3
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 Relace Apply 3 score

🤝 Neck and neck on these criteria (2.7 vs 2.6 / 5).
Criteriono1Relace Apply 3
Cost-efficiency2.04.5
Context window4.04.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.02.0

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...

Relace Apply 3 Paid

Relace · Proprietary

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...

Frequently asked questions

o1 vs Relace Apply 3 — which is cheaper?

Relace Apply 3 is cheaper on output ($1.25/M vs $60/M).

Which has the larger context window?

Relace Apply 3 offers the larger context window (256K tokens).

o1 vs Relace Apply 3 — which should I pick in 2026?

Choose Relace Apply 3 for the lower output price ($1.25/M vs $60/M). It also gives you the larger 256K context window.

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