Build AI products powered by GPT-OSS 120B or Qwen3-Max - no coding required
Start buildingGPT-OSS 120B vs Qwen3-Max
Compare GPT-OSS 120B and Qwen3-Max. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-OSS 120B | Qwen3-Max |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 131,072 tokens | 262,144 tokens |
| Input Cost | $0.00/ 1M tokens | $0.86/ 1M tokens |
| Output Cost | $0.00/ 1M tokens | $3.44/ 1M tokens |
Build with it | Build with GPT-OSS 120B | Build with Qwen3-Max |
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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-Max
Alibaba Cloud1. Best performance in Qwen3 series
- Handles complex multi-step reasoning.
- Excellent for agent programming and tool calling.
2. Massive context window
- 262K tokens enable long multi-document tasks.
- Useful for RAG pipelines, analysis, and long-form workflows.
3. Tiered pricing support
- More cost-efficient for small requests.
- Supports context caching for repeated inputs.
4. Strong general-purpose intelligence
- High accuracy in coding, reasoning, and structured tasks.
- Reliable for enterprise automation.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-OSS 120B
textResume Bullet Point Optimizer
Transform weak resume responsibilities into strong, results-oriented bullet points.
Uncover Precedents (Case Map + Misinterpretation Risks)
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Zero-Click SERP ROI Strategy
Build an SEO strategy to generate business value even when the SERP answers the question (snippets, PAA, AI overviews).
Best for Qwen3-Max
textCustomer Complaint Response Generator
Generate professional, empathetic responses to customer complaints that de-escalate situations and rebuild trust.
Customer Retention Strategy (Loyalty + Expansion)
Develop a retention strategy that reinforces your USP, improves customer outcomes, and responds to evolving persona challenges.
Thought Leadership Series (Challenges → Framework)
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
What AI product will you build?
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Free to start • No coding required • Launch to customers
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Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by GPT-OSS 120B or Qwen3-Max
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