latentbrief

Model comparison

o1 vs Gemini 3.1 Pro

Gemini 3.1 Pro supports a significantly larger token context size of 1,048,576 compared to o1's 200,000, alongside greater modality support.

Specs

Metrico1Gemini 3.1 Pro
Context window200K tokens1.0M tokens
Input $/1M tokens$15.00$2.00
Output $/1M tokens$60.00$12.00
ModalitiesText · Image · FileAudio · File · Image · Text · Video
Open weightsNoNo
ReleasedDec 2024

Capability differences

Capabilityo1Gemini 3.1 Pro
Tool useNoYes
VisionNoYes
Prompt cachingNoYes

How they differ

Context handling

o1

o1 has a context size of 200,000 tokens, suited for smaller or moderate input lengths.

Gemini 3.1 Pro

Gemini 3.1 Pro supports a context size of 1,048,576 tokens, enabling extended document or interaction processing.

Input modalities

o1

o1 processes text, image, and file inputs, lacking support for audio and video.

Gemini 3.1 Pro

Gemini 3.1 Pro processes text, image, audio, video, and file inputs, offering comprehensive multimodal support.

Cost profile

o1

o1 costs $15.0 per 1M input tokens and $60.0 per 1M output tokens, reflecting a higher cost structure.

Gemini 3.1 Pro

Gemini 3.1 Pro costs $2.0 per 1M input tokens and $12.0 per 1M output tokens, making it more cost-efficient.

o1 — what sets it apart

  • +o1's design is text-first with image and file support, prioritizing simpler modality integration.
  • +o1's higher pricing structure suggests a focus on highly specialized or niche use cases.

Gemini 3.1 Pro — what sets it apart

  • +Gemini 3.1 Pro supports a multimodal reasoning approach across text, image, audio, video, and file inputs.
  • +With a token context of 1,048,576, Gemini 3.1 Pro enables very large data interaction capabilities.
  • +Gemini 3.1 Pro offers a significantly more affordable pricing model across modalities.

The most consequential difference is Gemini 3.1 Pro's vastly larger token context and broader multimodal capabilities compared to o1.

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