GPT-4.1 vs GPT-OSS 20B

Compare GPT-4.1 and GPT-OSS 20B. Find out which one is better for your use case.

Model Comparison

FeatureGPT-4.1GPT-OSS 20B
ProviderOpenAIOpenAI
Model Typetexttext
Context Window1,047,576 tokens128,000 tokens
Input Cost$2.00 / 1M tokens$0.00 / 1M tokens
Output Cost$8.00 / 1M tokens$0.00 / 1M tokens

Strengths & Best Use Cases

GPT-4.1

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.

GPT-OSS 20B

  • Open-weight / Apache 2.0 licensed: you can use, modify, and deploy freely (commercially & academically) under permissive terms.
  • Large model size (≈ 21B parameters) with Mixture-of-Experts (MoE) architecture: only ~3.6B parameters active per token, yielding efficient inference. :contentReference[oaicite:1]{index=1}
  • Very long context window support: up to ~128 K tokens (or ~131 K tokens per some sources) enabling in-depth reasoning, long documents, or multi-turn context. :contentReference[oaicite:2]{index=2}
  • Adjustable reasoning effort: you can trade latency vs quality by tuning “reasoning effort” levels. :contentReference[oaicite:3]{index=3}
  • Efficient hardware requirements (for its class): designed to run on a single 16 GB-class GPU or optimized local deployments for lower latency applications. :contentReference[oaicite:4]{index=4}
  • Strong for tasks such as reasoning, tool-use, structured output, chain-of-thought debugging: because the model is open and you can inspect its chain of thought. :contentReference[oaicite:5]{index=5}
  • Flexibility: since weights are available, you can self-host, fine-tune, or deploy offline, giving more control than closed API models. :contentReference[oaicite:6]{index=6}

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