AI Models · Paid vs Paid

o3 Paid vs RERelace Search Paid

o3 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.

o3PaidOpenAI
$2 /M input
$8 /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 $8/M). It also gives you the larger 256K context window.

o3 vs Relace Search specs

Speco3Relace SearchWinner
MakerOpenAIRelace
TypeProprietaryProprietary
Context window200K tokens256K tokensRERelace Search
Input price$2/M$1/MRERelace Search
Output price$8/M$3/MRERelace Search
Vision / multimodalYesNoo3
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

2.7×cheaper per output token

Relace Search is ~2.7× cheaper than o3 on output tokens ($3 vs $8 per M tokens).

Choose o3 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

Capabilityo3Relace Search
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: o3 vs Relace Search

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

o3
Relace Search
Intelligence index
20.2
Math index
88.3
GPQA
82.7%
MMLU-Pro
85.3%
Humanity's Last Exam
20.1%
Long Context Reasoning
74.7%
LiveCodeBench
80.8%
MATH-500
99.2%
AIME
90.3%
AIME 2025
88.3%
IFBench
71.4%
τ²-Bench
80.7%
Terminal-Bench Hard
37.1%
Speed
114.5 tok/s
Latency
6.58s
Intelligence per $
5.8

Benchmark data by Artificial Analysis.

How o3 and Relace Search score

🤝 Neck and neck on these criteria (3.0 vs 2.8 / 5).
Criteriono3Relace Search
Cost-efficiency3.54.0
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

o3 Paid

OpenAI · Proprietary

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

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...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
o3 Proo3 (batch)o3 Minio3 Mini (batch)o3 Mini High

Frequently asked questions

o3 vs Relace Search — which is cheaper?

Relace Search is cheaper on output ($3/M vs $8/M).

Which has the larger context window?

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

o3 vs Relace Search — which should I pick in 2026?

Choose Relace Search for the lower output price ($3/M vs $8/M). It also gives you the larger 256K context window.

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