Strong multimodal understanding across images, audio, and text
Good balance between speed and overall quality
Reliable for teams that mix content types regularly
Weaknesses
Outclassed by newer models on pure coding and reasoning
Gemini 3.1 Pro now handles multimodal at a lower price
Real-world use cases
What people actually use GPT-4o for.
Describing and analyzing product screenshots, diagrams, and UI mockups
Mixed-media prompts combining text instructions with image uploads
Visual content ideation and creative brief generation for design teams
How GPT-4o compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-5 Image Mini — Against GPT-5 Image Mini (OpenAI), GPT-4o costs about 64% more per token and gives up 3.1x on context. GPT-5 Image Mini is the one to check first if the price difference matters more than the ceiling.
vs GPT Audio — Against GPT Audio (OpenAI), GPT-4o lands within a few percent on price and answers faster. Which one wins depends on whether context depth or latency is your constraint.
vs GPT Audio Mini — Against GPT Audio Mini (OpenAI), GPT-4o costs about 76% more per token. GPT Audio Mini is the one to check first if the price difference matters more than the ceiling.
Price History
GPT-4o pricing over time
→0% since May 16
55 data points · tracked daily since May 16, 2026
Ready to try it?
Start using GPT-4o
Multimodal tasks and image-adjacent workflows. Start free — no card required.
GPT-5 Image Mini is OpenAI's mid-tier multimodal model optimized for image understanding and generation tasks at a balanced price point. It supersedes GPT-4o with improved visual reasoning capabilities while maintaining a large 400K context window.
Verdict
A capable multimodal workhorse for image-heavy workflows that don't justify full GPT-5 flagship pricing.
Quality score
72%
Pricing
$2.50/1M in
$2.00/1M out
Speed
Fast
4/5 speed
Context
400k tokens
Output cost of $2/1M tokens is unusual — lower than input cost, which favors use cases with long inputs but short outputs like image captioning or document summarization. Verify image generation token pricing separately, as image outputs are often billed differently by OpenAI.
MultimodalImage GenerationLong ContextBalanced PriceGPT-5 Family
Best for
Teams needing strong image analysis and generation integrated with text workflows at a reasonable cost.
GPT Audio is OpenAI's speech-capable model variant optimized for real-time audio input and output, enabling natural voice conversations and audio processing. It extends GPT-4o's multimodal capabilities with native audio understanding and generation without requiring separate transcription pipelines.
Verdict
The go-to choice for native voice AI applications, but overkill and potentially costly for anything without real audio requirements.
Quality score
43%
Pricing
$2.50/1M in
$10.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
Audio tokens are counted differently from text tokens — a few seconds of audio can consume hundreds of tokens, so monitor usage carefully. Real-time audio streaming requires WebSocket or Realtime API endpoints, not the standard Chat Completions API. Availability may be limited by tier or region.
Voice AIAudioMultimodalReal-timeSpeech
Best for
Building voice assistants, real-time spoken dialogue systems, and applications that need to process or generate natural speech end-to-end.
GPT Audio Mini is OpenAI's cost-efficient audio-capable model that handles real-time speech input and output alongside text, built on the GPT-4o Mini architecture. It's designed for voice-driven applications where low latency and affordable pricing matter more than peak intelligence.
Verdict
The most practical choice for cost-conscious voice application developers who need native audio I/O without compromising too much on intelligence.
Quality score
44%
Pricing
$0.60/1M in
$2.40/1M out
Speed
Fast
4/5 speed
Context
128k tokens
Audio tokens are priced differently from text tokens in OpenAI's API — audio input/output carries a significant premium over text tokens, so real-world costs for voice-heavy workloads will be substantially higher than the listed text token price suggests. Check OpenAI's audio token pricing separately.
AudioVoice AIReal-timeBudgetMultimodal
Best for
Building voice assistants, audio bots, and speech-enabled applications that need real-time audio processing at scale without breaking the budget.
GPT-4o costs $2.5 per million input tokens and $10 per million output tokens on the API, with cached input at $1.25 per million. A month of 10M input and 2M output tokens runs about $45.00 at list price, before any batch or caching discounts.
What is the context window of GPT-4o?
GPT-4o has a 128k tokens context window, with up to 16k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of GPT-4o?
GPT-4o's training data runs through September 2023, and the model was released on May 13, 2024. For anything after that date it needs web search or documents in the prompt.
What is GPT-4o best for?
GPT-4o is best for multimodal tasks and image-adjacent workflows. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
When should I avoid GPT-4o?
You need the latest reasoning or coding performance — GPT-5.4 replaces it for serious work.
What is a cheaper alternative to GPT-4o?
GPT-5 Image Mini (OpenAI) at $2.50/1M/1M input against GPT-4o's $2.50/1M/1M — roughly 64% less per token all in. A capable multimodal workhorse for image-heavy workflows that don't justify full GPT-5 flagship pricing. Compare it first if GPT-4o's pricing is the thing stopping you.
What is a faster alternative to GPT-4o?
GPT Audio — balanced against GPT-4o's fast, with 128k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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