GPT-5.4 NEW
Professional Work Reasoning (Thinking / Pro)
GPT-5.4 was a “work-first” generation: positioned as a frontier reasoning model for spreadsheets, documents, software environments, and tool-heavy professional workflows. It also formalized a Pro tier for users who wanted maximum quality on hard tasks, and it replaced GPT-5.2 Thinking as the main “Thinking” selection in ChatGPT for paid users.
Intelligence
Top 5%
Speed
Slow
80 tok/s output
Cost
High
$2.50 in / $15.00 out
Context
922K
Up to 922,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on
Artificial Analysis. Cost buckets are fixed dollar
thresholds keyed off output-token price ($/M out).
Intelligence
- Top 1%≤ 1%
- Top 5%≤ 5%
- Top 10%≤ 10%
- Good≤ 25%
- Medium≤ 50%
- Below avg> 50%
Speed
- Top 1%≥ 345 tok/s
- Top 5%≥ 237 tok/s
- Top 10%≥ 196 tok/s
- Good≥ 146 tok/s
- Medium≥ 90 tok/s
- Slow< 90 tok/s
Cost
- Freeopen weights · self-host
- Low< $1 / M out
- Moderate$1–5 / M out
- High≥ $5 / M out
Why it matters
It’s part of the shift from “best chatbot” to “best worker”—the model’s job is to finish messy tasks, not just answer.
Core Capabilities
Long Documents
Handles entire codebases, books, and multi-doc RAG.
Multimodal
Combines text, vision, and audio in one model.
Generative
Produces images, video, audio, or other media.
Reasoning
Solves complex math, logic, and planning tasks.
Context Window
922k tokens
≈ 709+ pages
4k Chat 聊天
32k Long docs 长文档
128k Books 整本书
400k Multi-doc 多文档
1M This model 本模型
10M
Availability
API
Available
Product / App
Not available
Open Source
Not released
Enterprise
Contact sales
Pricing Model
Pay per token
Input and output billed separately.
Pay-per-token Capability / Performance
Where this model sits relative to the middle 60% of models in the tree. All scores are 0–10 (higher is better).
Lower 20% Upper 80% This model
Context / memory
Context window size · log-scaled
6.0
9.0
8.9
Lower 20% 20th percentile — 20% of models score below this This model Where the current model lands Upper 80% 80th percentile — only 20% of models score above this
Percentile boundaries are computed across every model in the tree that reports the underlying benchmark for each capability.
What it feels like
- Mid-cycle GPT-5 refresh between 5.2 and 5.5.
- Pro variant hits 93.2% on GPQA Diamond and 40.3% on FrontierMath Tier 1-3 — new state-of-the-art on hard math/science
- 400K-token context window — biggest OpenAI window yet, designed for long-running agents
- GDPval state-of-the-art — outperforms industry professionals on well-specified tasks across 44 occupations
Best use cases
- Hardest math/science research where Pro/Thinking modes pull ahead of every competitor
- Long-running professional agent workflows (400K context + GDPval-leading task quality)
- Knowledge work spanning 44 occupations — spreadsheets, presentations, multi-step projects
Tools to try
Not ideal for
- Casual chat or creative writing — Instant tier feels muted compared to GPT-5.1
- Cost-sensitive bulk inference — 40% price hike vs 5.1 with no automatic upgrade win
Model Evolution
GPT is OpenAI's language model family.