GPT-5.3 Instant NEW
Better Everyday Chat (Less “Caveats”)
GPT-5.3 Instant was an iteration aimed less at benchmark leaps and more at the “feel” of ChatGPT: fewer preachy disclaimers, fewer unnecessary refusals, and more direct answers when a request is safe. It’s a reminder that product quality in LLMs often comes from judgment, tone, and retrieval synthesis—not only raw capability scores.
Intelligence
Top 1%
Speed
Medium
96 tok/s output
Cost
High
$5.00 in / $30.00 out
Context
922K
Up to 922,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on
Artificial Analysis. Cost buckets are fixed dollar
thresholds keyed off output-token price ($/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 shows “generation” isn’t only bigger models—sometimes it’s a better default behavior that users notice immediately.
Core Capabilities
Long Documents
Handles entire codebases, books, and multi-doc RAG.
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
Not available
Product / App
Available
Open Source
Not released
Enterprise
Contact sales
Pricing Model
Subscription
Bundled inside the host product.
Subscription 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.