GLM-5.2 vs Laguna S 2.1: Specs & Benchmark Comparison
GLM-5.2 is developed by Zhipu AI, while Laguna S 2.1 comes from Poolside. GLM-5.2 was released in June 2026, and Laguna S 2.1 followed a month later in July 2026. GLM-5.2 is the larger model at roughly 753 billion parameters, against 118 billion for Laguna S 2.1.
The two models share 4 published benchmarks. GLM-5.2 leads on 3 of them, Laguna S 2.1 on 1. The widest gaps are on Terminal-Bench 2.1, where GLM-5.2 scores 82.7% against 70.2%; DeepSWE 1.1, where GLM-5.2 scores 44.0% against 40.4%. Averaged across everything we track, GLM-5.2 sits at 60.9% and Laguna S 2.1 at 57.4%.
Laguna S 2.1 is the cheaper API at $0.10 per million input tokens and $0.20 per million output tokens, roughly 14 times cheaper than GLM-5.2 at $1.40 and $4.40. Both accept a context window of about 1M tokens. On tooling, only GLM-5.2 supports function calling and only GLM-5.2 offers structured output.
| Characteristic | GLM-5.2 | Laguna S 2.1 |
|---|---|---|
| Company | Zhipu AI | Poolside |
| Release Date | June 16, 2026 | July 21, 2026 |
| Parameters | 753B | 118B |
| Multimodal | No | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 131K | — |
| Input Price / 1M | $1.40 | $0.10 |
| Output Price / 1M | $4.40 | $0.20 |
| Average Score | 60.9% | 57.4% |
| Benchmarks | ||
| Terminal-Bench 2.1 | 82.7% | 70.2% |
| DeepSWE 1.1 | 44.0% | 40.4% |
| SWE-Bench Pro | 62.1% | 59.4% |
| Toolathlon | 48.2% | 49.7% |
Visual Benchmark Comparison
Verdict
Laguna S 2.1 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: GLM-5.2 — 0.6, Laguna S 2.1 — 0.6.
Laguna S 2.1 is 19.3x cheaper: input $0.10/1M vs $1.40/1M tokens.
Same context size: 1M tokens.
Laguna S 2.1 is newer: released 7/21/2026 vs 6/16/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.2 or Laguna S 2.1?
Which model is cheaper — GLM-5.2 or Laguna S 2.1?
Which has a larger context window — GLM-5.2 or Laguna S 2.1?
The GLM-5.2 and Laguna S 2.1 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 Laguna S 2.1 page. See also the complete list of AI model comparisons.