Build AI powered apps for your work

Get started free
LLM ComparisonGPT-4.1o3

GPT-4.1 vs o3

Compare GPT-4.1 and o3. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-4.1o3
ProviderOpenAIOpenAI
Model Typetexttext
Context Window1,047,576 tokens200,000 tokens
Input Cost
$2.00/ 1M tokens
$2.00/ 1M tokens
Output Cost
$8.00/ 1M tokens
$8.00/ 1M tokens

Stop choosing. Use both.

With Appaca you don't have to pick — build apps that are powered by GPT-4.1, o3, for your specific use case.

Build your first app free

Strengths & Best Use Cases

GPT-4.1

OpenAI

1. Smartest non-reasoning model

  • Highest intelligence among models without a reasoning step.
  • Great for tasks where speed + accuracy matter without deep chain-of-thought.

2. Excellent instruction following

  • Very strong at structured tasks, formatting, and precise execution.
  • Ideal for productized workflows and deterministic outputs.

3. Reliable tool calling

  • Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
  • Supports MCP and advanced tool-enabled API flows.

4. Large 1M-token context window

  • Allows extremely long conversations, large documents, and multi-file use cases.
  • Handles context-heavy tasks without requiring chunking.

5. Low latency (no reasoning step)

  • Faster responses than GPT-5 family when reasoning mode isn't required.
  • More predictable timing for production use.

6. Multimodal input

  • Accepts text + image.
  • Output is text only.

7. Supports fine-tuning

  • Can be fine-tuned for specialized tasks.
  • Also supports distillation for smaller custom models.

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.