GLM-5.3 vs Laguna S 2.1: Specs & Benchmark Comparison

GLM-5.3 is developed by Zhipu AI, while Laguna S 2.1 comes from Poolside. Laguna S 2.1 was released in July 2026, and GLM-5.3 followed a month later in August 2026. GLM-5.3 is the larger model at roughly 753 billion parameters, against 118 billion for Laguna S 2.1.

We have 3 benchmark results for GLM-5.3 and 6 benchmark results for Laguna S 2.1, but they overlap on a single test: Terminal-Bench 2.1, where GLM-5.3 scores 88.0% against 70.2%.

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-5.3 at $1.40 and $4.40. Both accept a context window of about 1M tokens. On tooling, only GLM-5.3 supports function calling and only GLM-5.3 offers structured output.

CharacteristicGLM-5.3Laguna S 2.1
CompanyZhipu AIPoolside
Release DateAugust 14, 2026July 21, 2026
Parameters753B118B
MultimodalNoNo
Context (input)1.0M1.0M
Context (output)131K
Input Price / 1M$1.40$0.10
Output Price / 1M$4.40$0.20
Average Score83.3%57.4%
Benchmarks
Terminal-Bench 2.188.0%70.2%

Visual Benchmark Comparison

GLM-5.3
Laguna S 2.1
Terminal-Bench 2.10.9 vs 0.7
0.9
0.7

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: GLM-5.3 — 0.8, Laguna S 2.1 — 0.6.

API Cost

Laguna S 2.1 is 19.3x cheaper: input $0.10/1M vs $1.40/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

GLM-5.3 is newer: released 8/14/2026 vs 7/21/2026.

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Frequently Asked Questions

Which is better for coding — GLM-5.3 or Laguna S 2.1?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.3 or Laguna S 2.1?
Laguna S 2.1 is cheaper for input: $0.10 per 1M tokens vs $1.40.
Which has a larger context window — GLM-5.3 or Laguna S 2.1?
GLM-5.3 supports a larger context: 1,048,576 tokens vs 1,048,576.

The GLM-5.3 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-5.3 or Laguna S 2.1 page. See also the complete list of AI model comparisons.