ModelPriceWatch.com
Last scan 2026-10-12 Models tracked 281 Providers 37 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GPT-5

by OpenAI

Current flagship mid tier
Availability: OpenAI still prices the bare gpt-5 alias per token on its own rate card and announces no shutdown date for it. The pinned snapshot gpt-5-2025-08-07 is separately scheduled to shut down on December 11, 2026; that date applies to the pinned snapshot, not to the gpt-5 alias, so this row carries no shutdown date. If OpenAI later names the bare alias itself, this row ages to Deprecated on that date. Checked against OpenAI's deprecations page on 2026-08-25.

Today's price · per 1M tokens

Input

$1.25

per 1M tokens

Output

$10.00

per 1M tokens

Blended

$3.44

blended $/1M — 3:1 weighted input:output

Cached input

$0.125

10% of input — prompt caching

Source: official OpenAI pricing · read MODELPRICEWATCH.COM · 2026-10-12

Price receipt

We read OpenAI's own pricing page on and found gpt-5 listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 0359f17f7e.

Overview

OpenAI's August 2025 flagship for coding and agentic tasks, with configurable reasoning effort. 400K context window, 272K max input tokens, 128K max output tokens, text + image input, text output, September 2024 knowledge cutoff. Superseded by the GPT-5.1 through GPT-5.6 lines but still sold first-party at its own rate. The default snapshot behind the alias is gpt-5-2025-08-07.

Capabilities

struck through = not supported
Input 2/4
Text ✓ Image ✓ Audio Video
Output
Text ✓
Features 4/9
Prompt caching ✓ Reasoning ✓ Coding Fast inference Long context ✓ Open weights Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 50.3th1 independent measurement
Percentile per $/Mtok 14.6

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA-Omniscience Index: -8.7 (−100–100)
How it stacks up
  • Ranks #77 of 194 comparably-measured models by percentile score, across 1 independent measurement
  • Ranks #150 of 194 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis · updated · See full rankings →

Specifications

Provider
OpenAI
Context window
400K tokens
Modality
text, image
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
reasoningmultimodalflagship

Availability verified: — listed on OpenAI's own page