GPT-5.1 vs o3

Compare GPT-5.1 and o3. Find out which model is better for your specific use case and requirements.

Model Comparison

FeatureGPT-5.1o3
ProviderOpenAIOpenAI
Model Typetexttext
Context Window400,000 tokens200,000 tokens
Input Cost
$1.25/ 1M tokens
$2.00/ 1M tokens
Output Cost
$10.00/ 1M tokens
$8.00/ 1M tokens

Strengths & Best Use Cases

GPT-5.1

OpenAI

1. Configurable Reasoning for Agentic Tasks

  • Built to excel in autonomous or semi-autonomous coding workflows, with adjustable reasoning effort for planning, refactoring and debugging.

2. Fast Multi-Modal Input with Large Output

  • Accepts both text and image inputs while producing text outputs.
  • Offers up to 128 k output tokens, allowing long responses and code generation across multiple files.

3. Large Context & Knowledge Cut-Off

  • 400 k token context window supports processing large codebases or documents.
  • Knowledge cut-off of Sep 30 2024 ensures familiarity with recent tools and frameworks.

4. Reasoning Token Support

  • Provides explicit support for reasoning tokens, enabling developers to fine-tune the balance between reasoning depth and speed.

o3

OpenAI

1. Advanced reasoning capability

  • Designed for multi-step thinking across text, code, and visual inputs.
  • Excels at math, science, logic puzzles, and complex analytical workflows.

2. Strong performance across domains

  • Highly capable in technical writing, data analysis, and structured problem-solving.
  • Useful for research, engineering tasks, and intricate instruction-following.

3. Visual reasoning support

  • Accepts image inputs, enabling tasks such as diagram analysis, chart interpretation, and visual logic assessments.

4. High output capacity

  • Up to 100,000 output tokens, supporting long-form content, technical breakdowns, and multi-part solutions.

5. Excellent instruction following

  • Produces detailed, step-by-step responses for tasks requiring precision and clarity.
  • Ideal for educational explanations, system design reasoning, and code walkthroughs.

6. Large 200K context window

  • Handles long documents, multi-file reasoning, or extended conversations with minimal loss of context.

7. Broad API support

  • Works with Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, Image Generation, and more.
  • Supports streaming and function calling for advanced workflows.

8. Positioned as a legacy reasoning model

  • Remains extremely capable but formally succeeded by GPT-5, which offers stronger reasoning and performance.

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