GPT-4o (Aug '24)
GPT-4o (Aug '24) is an API model from OpenAI. It’s positioned for general text tasks—work that benefits from iteration, not just one-shot answers.
Intelligence
Below avg
Speed
Medium
108 tok/s output
Cost
High
$5.00 in / $15.00 out
Context
128K
Up to 128,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on
Artificial Analysis. Cost buckets are fixed dollar
thresholds keyed off output-token price ($/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
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
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
- First end-to-end omni model — text, vision, audio share one neural net (not stitched pipelines)
- 2x faster, half the price, and 5x higher rate limits than GPT-4 Turbo
- Native voice-to-voice latency around 320ms — close to human conversational rhythm (210ms)
Best use cases
- Voice-first applications and real-time multimodal interfaces
- Cost-sensitive bulk inference where GPT-4-class quality is enough
- Image understanding workflows — strong vision pipeline at API price
Tools to try
Not ideal for
- Hard reasoning, math, or research — o1/o3/GPT-5 are the right tier
- Frontier-leaderboard coding (Claude 3.5 Sonnet+ outscored GPT-4o on SWE-bench by mid-2024)
Model Evolution
GPT is OpenAI's language model family.
GPT-5.1
Nov 2025
GPT-5.2
Dec 2025
GPT-4o (Aug '24)
Jan 2026
GPT 5.3
Feb 2026
GPT-5.3 Instant
Mar 2026