GPT-4 Turbo
GPT-4 Turbo is an API model from OpenAI. It’s positioned for general text tasks—work that benefits from iteration, not just one-shot answers.
Intelligence
Medium
Speed
Slow
35 tok/s output
Cost
High
$10.00 in / $30.00 out
Context
128K
Up to 128,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on
Artificial Analysis. Cost buckets are fixed dollar
thresholds keyed off output-token price ($/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
Core Capabilities
Long Documents
Handles entire codebases, books, and multi-doc RAG.
Context Window
128k tokens
≈ 98 pages
4k Chat 聊天
32k Long docs 长文档
128k This model 本模型
400k Multi-doc 多文档
1M Codebase 整个代码库
10M
Availability
API
Available
Product / App
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
6.0
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
- Step-change in reasoning vs GPT-3.5 — top 10% on simulated bar exam vs 3.5's bottom 10%
- MMLU 86.4% in English; surpassed prior models in 24 of 26 other languages
- First widely-deployed model with image input (text output only) — multimodal era starts here
Best use cases
- Professional knowledge work needing top-of-class reasoning at the time
- Code generation with chain-of-thought prompting
- Multilingual tasks across 26+ languages
Tools to try
Not ideal for
- Frontier work after Claude 3.5+ / GPT-4o / Llama 3 — quickly surpassed in 2024
- Cost-sensitive bulk inference — pricing dominant before GPT-4o cut it in half
Model Evolution
GPT is OpenAI's language model family.