GLM / Z.ai (Zhipu AI) vs Hunyuan 3 (Tencent Hy3)
Which one should you pick? Here's the full breakdown.
GLM / Z.ai (Zhipu AI)
Zhipu AI's open-weights family -- GLM-5.1 (launched 2026-04-07) is 744B MoE / 40B active, topped SWE-Bench Pro at 58.4 (beating GPT-5.4 and Claude Opus 4.6), MIT licensed, 200K context. Trained entirely on 100K Huawei Ascend 910B chips -- first frontier model with zero Nvidia in the training stack
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 | GLM / Z.ai (Zhipu AI) | Hunyuan 3 (Tencent Hy3) |
|---|---|---|
| Ease of Use | 6.5 | 7.0 |
| Output Quality | 8.5 | 8.0 |
| Value | 9.0 | 9.5 |
| Features | 8.0 | 8.0 |
| Overall | 8.0 | 8.1 |
Personality & Tone
GLM / Z.ai (Zhipu AI): The Z.ai research model
Tone: Academic and structured. GLM-4.6's instruction-tuned chat tends toward outlined, bullet-heavy responses and leans on established phrasing rather than casual voice.
Quirks: Strong on multilingual and tool use, weaker at playful conversation. Smaller community fine-tuning ecosystem than Llama or Qwen, so fewer 'flavored' checkpoints to pick from -- most deployments run the base instruction-tune.
Hunyuan 3 (Tencent Hy3): Tencent's first serious open-weights LLM
Tone: Direct and structured, similar to DeepSeek's chat tone -- compact answers in technical domains, reasonable Chinese-language polish, English noticeably less expressive than Claude or GPT.
Quirks: PRC content filters apply across the same set of regulated topics as DeepSeek and Qwen. Distribution via Yuanbao + WeChat + QQ means many Hy3 users in the wild are talking to it through chat-app surfaces rather than a developer console.
Pricing Comparison
| Feature | GLM / Z.ai (Zhipu AI) | Hunyuan 3 (Tencent Hy3) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
GLM-5.1 (744B MoE / 40B active) benchmarks — Hunyuan 3 (Tencent Hy3) has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| SWE-Bench Pro | 58.4% | |
| MMLU-Pro | Harder multi-subject reasoning | 81.2% |
| GPQA Diamond | Graduate-level science questions | 74.5% |
| HumanEval | Python code generation | 89.1% |
| SWE-Bench Verified | 64.2% | |
| BFCL (function calling) | 88% |
Which Should You Pick?
Pick GLM / Z.ai (Zhipu AI) if...
Teams that need genuine MIT-licensed frontier open weights with no commercial strings. Especially strong for agentic workflows and vision (GLM-4.6V).
Visit GLM / Z.ai (Zhipu AI)Pick Hunyuan 3 (Tencent Hy3) if...
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
GLM / Z.ai (Zhipu AI) and Hunyuan 3 (Tencent Hy3) are extremely close overall. Your choice comes down to specific needs -- GLM / Z.ai (Zhipu AI) is better for teams that need genuine mit-licensed frontier open weights with no commercial strings, 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.