GLM-5.2 vs Hy3: Specs & Benchmark Comparison
GLM-5.2 is developed by Zhipu AI, while Hy3 comes from Tencent. GLM-5.2 was released in June 2026, and Hy3 followed a month later in July 2026. GLM-5.2 is the larger model at roughly 753 billion parameters, against 295 billion for Hy3.
The two models share 8 published benchmarks. GLM-5.2 leads on 6 of them, Hy3 on 2. The widest gaps are on DeepSWE, where GLM-5.2 scores 46.2% against 28.0%; Terminal-Bench 2.1, where GLM-5.2 scores 82.7% against 71.7%. Averaged across everything we track, GLM-5.2 sits at 60.9% and Hy3 at 57.1%.
GLM-5.2 is available through an API at $1.40 per million input tokens with a 1M-token context window. We do not track a hosted API for Hy3, so pricing and context cannot be compared directly.
| Characteristic | GLM-5.2 | Hy3 |
|---|---|---|
| Company | Zhipu AI | Tencent |
| Release Date | June 16, 2026 | July 6, 2026 |
| Parameters | 753B | 295B |
| Multimodal | No | No |
| Context (input) | 1.0M | — |
| Context (output) | 131K | — |
| Input Price / 1M | $1.40 | — |
| Output Price / 1M | $4.40 | — |
| Average Score | 60.9% | 57.1% |
| Benchmarks | ||
| DeepSWE | 46.2% | 28.0% |
| Terminal-Bench 2.1 | 82.7% | 71.7% |
| SWE-Bench Pro | 62.1% | 57.9% |
| NL2Repo | 48.9% | 45.6% |
| MCP Atlas | 76.8% | 79.1% |
| IMO-AnswerBench | 91.0% | 90.0% |
| GPQA | 91.0% | 90.4% |
| Toolathlon | 48.2% | 48.5% |
Visual Benchmark Comparison
Verdict
Hy3 leads in 1 out of 2 comparison categories.
Both models show comparable average scores: GLM-5.2 — 0.6, Hy3 — 0.6.
Hy3 is newer: released 7/6/2026 vs 6/16/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — GLM-5.2 or Hy3?
Which model is cheaper — GLM-5.2 or Hy3?
Which has a larger context window — GLM-5.2 or Hy3?
The GLM-5.2 and Hy3 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.2 or Hy3 page. See also the complete list of AI model comparisons.