AI Models · Paid vs Paid

GPT-4 Turbo Paid vs RERelace Search Paid

GPT-4 Turbo 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.

GPT-4 TurboPaidOpenAI
$10 /M input
$30 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K 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 $30/M). It also gives you the larger 256K context window.

GPT-4 Turbo vs Relace Search specs

SpecGPT-4 TurboRelace SearchWinner
MakerOpenAIRelace
TypeProprietaryProprietary
Context window128K tokens256K tokensRERelace Search
Input price$10/M$1/MRERelace Search
Output price$30/M$3/MRERelace Search
Vision / multimodalYesNoGPT-4 Turbo
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

10×cheaper per output token

Relace Search is ~10× cheaper than GPT-4 Turbo on output tokens ($3 vs $30 per M tokens).

Choose GPT-4 Turbo 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

CapabilityGPT-4 TurboRelace Search
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-4 Turbo vs Relace Search

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

GPT-4 Turbo
Relace Search
Intelligence index
7
Coding index
21.5
MMLU-Pro
69.4%
Humanity's Last Exam
3.1%
LiveCodeBench
29.1%
MATH-500
73.7%
AIME
15%
Speed
0 tok/s
Latency
0s
Intelligence per $
0.5

Benchmark data by Artificial Analysis.

How GPT-4 Turbo and Relace Search score

🤝 Neck and neck on these criteria (2.8 vs 2.8 / 5).
CriterionGPT-4 TurboRelace Search
Cost-efficiency3.04.0
Context window3.54.0
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

GPT-4 Turbo Paid

OpenAI · Proprietary

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

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

GPT-4 Turbo vs Relace Search — which is cheaper?

Relace Search is cheaper on output ($3/M vs $30/M).

Which has the larger context window?

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

GPT-4 Turbo vs Relace Search — which should I pick in 2026?

Choose Relace Search for the lower output price ($3/M vs $30/M). It also gives you the larger 256K context window.

People also compare

Explore more open-source AI

Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.

Open the leaderboard →