GLM-5.2 vs Laguna S 2.1
GLM-5.2 and Laguna S 2.1 are closely matched at 46.5 and 41.4 on the LLM Stats Score. Laguna S 2.1 is 11.7x cheaper per token.
Zhipu AI · Poolside · Updated for 2026
Which is better?
GLM-5.2 and Laguna S 2.1 are closely matched on the overall LLM Stats Score at 46.5 and 41.4.
In the 4 individual benchmarks reported for both models, GLM-5.2 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 is roughly 11.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.2
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
Choose Laguna S 2.1
- cost matters — it's about 11.7x cheaper per token
- you want the most recent training data — it shipped Jul 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for GLM-5.2 · 6 for Laguna S 2.1
GLM-5.2 outperforms in 3 benchmarks (DeepSWE 1.1, SWE-Bench Pro, Terminal-Bench 2.1), while Laguna S 2.1 is better at 1 benchmark (Toolathlon).
GLM-5.2 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.2 ($0.95/1M tokens) is 9.5x more expensive than Laguna S 2.1 ($0.10/1M tokens).
For output processing, GLM-5.2 ($3.00/1M tokens) is 15.0x more expensive than Laguna S 2.1 ($0.20/1M tokens).
In conclusion, GLM-5.2 is more expensive than Laguna S 2.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.2 has 635.0B more parameters than Laguna S 2.1, making it 538.1% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Only GLM-5.2 specifies output context (131,072 tokens).
License
Usage and distribution terms
GLM-5.2 is licensed under MIT, while Laguna S 2.1 uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
GLM-5.2 was released on 2026-06-16, while Laguna S 2.1 was released on 2026-07-21.
Laguna S 2.1 is 1 month newer than GLM-5.2.
Jun 16, 2026
2 months ago
Jul 21, 2026
1 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI. Laguna S 2.1 is available from Poolside.
GLM-5.2
Laguna S 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.2 and Laguna S 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.2 vs Laguna S 2.1.