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LLM ComparisonGPT-5GPT-4.1

GPT-5 vs GPT-4.1

Compare GPT-5 and GPT-4.1. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5GPT-4.1
ProviderOpenAIOpenAI
Model Typetexttext
Context Window400,000 tokens1,047,576 tokens
Input Cost
$1.25/ 1M tokens
$2.00/ 1M tokens
Output Cost
$10.00/ 1M tokens
$8.00/ 1M tokens

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Strengths & Best Use Cases

GPT-5

OpenAI

1. High reasoning capability

  • Designed for intelligent reasoning across complex domains.
  • Supports reasoning tokens and adjustable reasoning effort.

2. Strong coding and agentic performance

  • Optimized for multi-step coding tasks, tool-use chains, and agent workflows.
  • Handles complex logic, planning, and structured problem solving reliably.

3. Multimodal input

  • Accepts text + image as input.
  • Produces text outputs with strong instruction following.

4. Extensive tool support

  • Works with Web Search, File Search, Image Generation (as a tool), Code Interpreter, MCP, and more.
  • Integrated across Chat Completions, Responses API, Realtime, Assistants, Batch, Embeddings, etc.

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.

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