GPT-5.2 vs GPT-OSS 120B

Compare GPT-5.2 and GPT-OSS 120B. Find out which model is better for your specific use case and requirements.

Model Comparison

FeatureGPT-5.2GPT-OSS 120B
ProviderOpenAIOpenAI
Model Typetexttext
Context Window400,000 tokens131,072 tokens
Input Cost
$1.75/ 1M tokens
$0.00/ 1M tokens
Output Cost
$14.00/ 1M tokens
$0.00/ 1M tokens

Strengths & Best Use Cases

GPT-5.2

OpenAI

1. Advanced Reasoning for Diverse Domains

  • Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.

2. Multi-Modal & Long-Form Capabilities

  • Handles both text and image inputs, producing text output:contentReference[oaicite:1]{index=1}.
  • Allows up to 128 k output tokens for lengthy responses:contentReference[oaicite:2]{index=2}.

3. Large Context & Updated Knowledge

  • 400 k token context window accommodates extensive codebases or documents:contentReference[oaicite:3]{index=3}.
  • Knowledge cut-off of Aug 31 2025 keeps it current with recent developments:contentReference[oaicite:4]{index=4}.

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.

Use Appaca to make AI tools powered by GPT-5.2 or GPT-OSS 120B

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