AI Models · Paid vs Paid

o1 Paid vs RERelace Search Paid

o1 vs Relace Search 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 SearchPaidRelace
$1 /M input
$3 /M outputManaged API (no infra to run)
TypeProprietary
Context window256K tokens
MultimodalNo
Self-hostNo
Choose Relace Search for the lower output price ($3/M vs $60/M). It also gives you the larger 256K context window.

o1 vs Relace Search specs

Speco1Relace SearchWinner
MakerOpenAIRelace
TypeProprietaryProprietary
Context window200K tokens256K tokensRERelace Search
Input price$15/M$1/MRERelace Search
Output price$60/M$3/MRERelace Search
Vision / multimodalYesNoo1
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

20×cheaper per output token

Relace Search is ~20× cheaper than o1 on output tokens ($3 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 Search 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 Search
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: o1 vs Relace Search

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

o1
Relace Search
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 Search score

🤝 Neck and neck on these criteria (2.7 vs 2.8 / 5).
Criteriono1Relace Search
Cost-efficiency2.04.0
Context window4.04.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.03.5

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...

Relace Search Paid

Relace · Proprietary

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...

Frequently asked questions

o1 vs Relace Search — which is cheaper?

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

Which has the larger context window?

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

o1 vs Relace Search — which should I pick in 2026?

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

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