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LLM ComparisonGPT-4.1GPT-OSS 120B

GPT-4.1 vs GPT-OSS 120B

Compare GPT-4.1 and GPT-OSS 120B. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-4.1GPT-OSS 120B
ProviderOpenAIOpenAI
Model Typetexttext
Context Window1,047,576 tokens131,072 tokens
Input Cost
$2.00/ 1M tokens
$0.00/ 1M tokens
Output Cost
$8.00/ 1M tokens
$0.00/ 1M tokens

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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.

GPT-OSS 120B

OpenAI

1. Most powerful open-weight model

  • 117B parameters (5.1B active) while fitting on a single H100 GPU.
  • High reasoning quality compared to other open models.

2. Apache 2.0 license

  • Fully permissive, no copyleft or patent restrictions.
  • Safe for commercial products, research, and redistribution.

3. Configurable reasoning effort

  • Supports adjustable reasoning: low, medium, high.
  • Lets developers balance latency vs. depth.

4. Full chain-of-thought access

  • Unlike closed commercial models, this exposes complete reasoning traces.
  • Useful for debugging, auditing, safety research, and transparency.

5. Fine-tunable

  • Fully supports parameter fine-tuning.
  • Can be adapted to domain-specific workflows and proprietary datasets.

6. Agentic capabilities

  • Built-in function calling.
  • Native support for web browsing, Python execution, and structured outputs.
  • Ideal for open-source agents, full-stack automation, and developer tooling.

7. Tooling ecosystem support

  • Compatible with Chat Completions, Responses API, Assistants, Realtime, Batch, and Fine-tuning endpoints.
  • Supports Image Generation, Code Interpreter (via Python runtime), and more.

8. Open-source availability

  • Downloadable on HuggingFace for local or on-prem deployment.
  • Supports full offline, private, or self-hosted usage.

9. Streaming + function calling support

  • Real-time interactions.
  • Strong for interactive agents, coding assistants, and UI-driven workflows.