latentbrief

Model comparison

o1 vs GPT-5.4

The most significant observable difference is the token context size, with GPT-5.4 supporting 1,050,000 tokens compared to o1's 200,000 tokens.

Specs

Metrico1GPT-5.4
Context window200K tokens1.1M tokens
Input $/1M tokens$15.00$2.50
Output $/1M tokens$60.00$15.00
ModalitiesText · Image · FileText · Image · File
Open weightsNoNo
ReleasedDec 2024

Capability differences

Capabilityo1GPT-5.4
Tool useNoYes
VisionNoYes
Prompt cachingNoYes

How they differ

Reasoning approach

o1

o1 operates within a smaller token context, which may require more frequent summarization or segmentation of inputs.

GPT-5.4

GPT-5.4 utilizes its larger token context to process extensive documents and make connections across longer sequences.

Coding

o1

o1 is better suited for shorter code segments within its token limits.

GPT-5.4

GPT-5.4 can analyze and generate code across larger and more complex codebases due to its expanded token capacity.

Context handling

o1

o1's smaller token capacity necessitates more concise or segmented context handling.

GPT-5.4

GPT-5.4 excels at maintaining context across long-form interactions or significant datasets.

Speed

o1

o1 provides faster responses for smaller-scale tasks within its token limits.

GPT-5.4

GPT-5.4 may process longer contexts more slowly due to its larger token capacity.

Cost profile

o1

o1 is significantly more expensive, charging $15.0/1M input tokens and $60.0/1M output tokens.

GPT-5.4

GPT-5.4 is more cost-effective at $2.5/1M input tokens and $15.0/1M output tokens.

o1 — what sets it apart

  • +o1 is faster for tasks within its 200,000 token context limit.
  • +Its higher cost may reflect specialized fine-tuning or optimization for specific tasks.

GPT-5.4 — what sets it apart

  • +GPT-5.4 supports a token context size over five times larger than o1.
  • +GPT-5.4 offers significantly lower costs for both input and output tokens.

The most consequential difference is the token context capacity, which shapes their respective suitability for extensive versus smaller-scale tasks.

Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.