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Model profile
OpenAI

OpenAI: GPT-4o Search Preview

OpenAI: GPT-4o Search Preview is a mid-range-priced text-first model from OpenAI with partial runtime data, extended context posture, and the clearest fit around long-context research.

Best for: Long-context researchN/A latencyExtended contextMid-range pricing
Intelligence
N/A

Benchmark blend

Coding
N/A

Dev workflow signal

Context
128K Tokens

Extended

Input Price
$2.50

Mid-range tier

Decision snapshot
69

OpenAI: GPT-4o Search Preview currently reads as a mid-range text-first option with extended context and a partially published runtime profile.

Overall profile
Strong all-rounder
Best for
Long-context research
Latency tier
N/A
Price tier
Mid-range
Source coverage
OpenRouter
Open compare hubSee leaderboard

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
N/A
N/A

General reasoning and benchmark headroom.

Unavailable
Speed
N/A
N/A

Latency data is partial.

Unavailable
Context
128K Tokens
76

How much prompt and task state can stay in view.

Competitive
Price
$2.50
62

$10.00 output / 1M

Competitive

Editorial Profile

OpenAI: GPT-4o Search Preview in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Strong all-rounderCoding score N/AMath score N/A

GPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.

Identity

OpenAI text-first profile

Positioning

Long-context research with extended context and partially published runtime.

Cost posture

Balanced spend profile. Easier to justify in mixed production and exploration workloads.

Strengths

  • Large context headroom supports repo-wide prompts and long research sessions.

Tradeoffs

  • Costs look manageable, but still deserve attention in always-on agents or batch jobs.

  • Latency data is incomplete, so interactive responsiveness is harder to rank confidently.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

Best fit

  • Long-context summarization, repo analysis, and policy or document review.

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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

No benchmark data is available for this model yet.

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
128K Tokens
Vision
Text-first
Modalities
text
Tokenizer
GPT
Max Completion
16384
Moderation
Yes
Supported Parameters
max_tokensresponse_formatstructured_outputsweb_search_options
Input Modalities
text
Output Modalities
text
Price architecture
Input
per 1M input tokens
$2.50
Output
per 1M output tokens
$10.00
Blended
AA 3:1 mix
N/A

This model sits in a balanced spend range. It is easier to justify across both production and exploratory workflows.

OR Web Search Price
$0.0350

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.