Hunyuan 3 (Tencent Hy3) vs Google Antigravity
Which one should you pick? Here's the full breakdown.
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
Google Antigravity
Google's agent-first AI IDE -- deploys up to 5 autonomous coding agents in parallel on a VS Code fork
Powered by Gemini 3.1 Pro / Claude Opus 4.6 / GPT-OSS 120B (multi-model)
| Category | Hunyuan 3 (Tencent Hy3) | Google Antigravity |
|---|---|---|
| Ease of Use | 7.0 | 8.0 |
| Output Quality | 8.0 | 8.5 |
| Value | 9.5 | 6.0 |
| Features | 8.0 | 9.5 |
| Overall | 8.1 | 8.0 |
Pricing Comparison
| Feature | Hunyuan 3 (Tencent Hy3) | Google Antigravity |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Which Should You Pick?
Pick Hunyuan 3 (Tencent Hy3) if...
- ✓Better value for money (9.5/10)
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)Pick Google Antigravity if...
- ✓Easier to use (8 vs 7)
- ✓More features (9.5 vs 8)
Developers working on large, multi-file projects who want to parallelize their workflow. If you regularly work on 3-5 tasks simultaneously (fix a bug, add a feature, write tests, refactor), Antigravity's multi-agent architecture is unmatched.
Visit Google AntigravityOur Verdict
Hunyuan 3 (Tencent Hy3) and Google Antigravity are extremely close overall. Your choice comes down to specific needs -- Hunyuan 3 (Tencent Hy3) is better for chinese-market builders, multilingual products that need strong cn performance, and cost-sensitive developers who want frontier-class quality at sub-deepseek pricing, while Google Antigravity works best for developers working on large, multi-file projects who want to parallelize their workflow.