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-5.1

by OpenAI

Current flagship mid tier
Availability: OpenAI still prices the bare gpt-5.1 alias per token on its own rate card and announces no shutdown date for it. Its sibling SKUs gpt-5.1-codex, gpt-5.1-codex-max, gpt-5.1-codex-mini and gpt-5.1-chat-latest were all shut down on 2026-07-23 in favour of the GPT-5.6 line; the base alias outlived them and remains both on the rate card and on its own model page, so this row carries no shutdown date. Checked against OpenAI's deprecations page on 2026-08-24.

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-5.1 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 late-2025 flagship for coding and agentic tasks, with configurable reasoning and non-reasoning effort. 400K context window, 128K max output tokens, text + image input, text output, September 2024 knowledge cutoff. Superseded by the GPT-5.2 through GPT-5.6 lines but still sold first-party at its own rate, and the cheapest per-token flagship OpenAI currently lists.

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 60.8th2 independent measurements
Percentile per $/Mtok 17.7

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: 5.4 (−100–100)
  • LMSYS Chatbot Arena: 1439 ELO (Human preference)
How it stacks up
  • Ranks #52 of 194 comparably-measured models by percentile score, across 2 independent measurements
  • Ranks #143 of 194 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis, LMSYS Chatbot Arena (UC Berkeley) · 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