GPT-OSS 120B vs Qwen3-Plus
Compare GPT-OSS 120B and Qwen3-Plus. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-OSS 120B | Qwen3-Plus |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 131,072 tokens | 1,000,000 tokens |
| Input Cost | $0.00/ 1M tokens | $0.12/ 1M tokens |
| Output Cost | $0.00/ 1M tokens | $0.29/ 1M tokens |
Strengths & Best Use Cases
GPT-OSS 120B
OpenAI1. 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.
Qwen3-Plus
Alibaba Cloud1. Major upgrade over previous Plus models
- Better reasoning, code generation, and tool-call performance.
2. Supports thinking vs non-thinking modes
- Thinking for hard problems.
- Non-thinking for speed.
3. Improved human preference alignment
- Better writing quality, multi-turn memory, and formatting stability.
4. Excellent for agent-style apps
- Accurate function calling and tool use.
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for GPT-OSS 120B
textNeighborhood Guide Content Creator (Local Expert Blog)
Outline a high-value neighborhood guide blog post that positions you as the local expert with sections for food, parks/schools, vibe, and commute.
Lead Generation Strategy (USP-to-Offer Engine)
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
Sales Language Style Guide
Generate a sales language style guide so your team writes consistent outreach with approved phrases, tone rules, and examples.
Best for Qwen3-Plus
textMarketing Budget & Resource Allocation Plan
Allocate marketing budget and resources across the highest-impact initiatives to communicate your USP and address persona challenges.
Email Campaign (Buyer Journey Nurture)
Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Content Marketing Strategy (Thought Leadership)
Create a persona-first content strategy that positions your brand as a thought leader and connects your USP to the challenges you solve.
Use Appaca to make AI tools powered by GPT-OSS 120B or Qwen3-Plus
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