gpt-oss (OpenAI) vs Hunyuan 3 (Tencent Hy3)
Which one should you pick? Here's the full breakdown.
gpt-oss (OpenAI)
OpenAI's FIRST open-weight models -- gpt-oss-120b (single 80GB GPU, near parity with o4-mini on reasoning) and gpt-oss-20b (runs on 16GB edge devices). Apache 2.0. Launched 2025-08-05. gpt-oss-safeguard ships in 2026 as the safety-tuned variant
Hunyuan 3 (Tencent Hy3)
Tencent's Hy3 Preview launched 2026-04-23 -- 295B total / 21B active MoE, 256K context, open-sourced on HuggingFace under tencent/Hy3-preview. Cheapest frontier-class API at ~1.2 RMB per million input tokens. Integrated into Yuanbao, WeChat, QQ
| Category | gpt-oss (OpenAI) | Hunyuan 3 (Tencent Hy3) |
|---|---|---|
| Ease of Use | 7.0 | 7.0 |
| Output Quality | 8.5 | 8.0 |
| Value | 10.0 | 9.5 |
| Features | 7.0 | 8.0 |
| Overall | 8.1 | 8.1 |
Pricing Comparison
| Feature | gpt-oss (OpenAI) | Hunyuan 3 (Tencent Hy3) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Which Should You Pick?
Pick gpt-oss (OpenAI) if...
Developers who want OpenAI-brand open-weight reasoning models for self-hosting or fine-tuning. Particularly good for single-GPU deployments (gpt-oss-120b on one 80GB card) or edge-device reasoning (gpt-oss-20b on 16GB consumer GPUs / Apple Silicon). Also good as a reliable baseline when comparing newer open-weight releases.
Visit gpt-oss (OpenAI)Pick Hunyuan 3 (Tencent Hy3) if...
- ✓More features (8 vs 7)
Chinese-market builders, multilingual products that need strong CN performance, and cost-sensitive developers who want frontier-class quality at sub-DeepSeek pricing. Also anyone watching the open-weights field who wants Tencent's distribution-backed entry on the bench.
Visit Hunyuan 3 (Tencent Hy3)Our Verdict
gpt-oss (OpenAI) and Hunyuan 3 (Tencent Hy3) are extremely close overall. Your choice comes down to specific needs -- gpt-oss (OpenAI) is better for developers who want openai-brand open-weight reasoning models for self-hosting or fine-tuning, while Hunyuan 3 (Tencent Hy3) works best for chinese-market builders, multilingual products that need strong cn performance, and cost-sensitive developers who want frontier-class quality at sub-deepseek pricing.