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GLM-5.3 vs Laguna XS 2.1

Comparing GLM-5.3 and Laguna XS 2.1 across benchmarks, pricing, and capabilities.

Zhipu AI · Poolside · Updated for 2026

Which is better?

GLM-5.3 and Laguna XS 2.1 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Laguna XS 2.1 is roughly 17.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Laguna XS 2.1

  • cost matters — it's about 17.2x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$1.40 / M
$0.10 / M
Output price
$4.40 / M
$0.20 / M
Context window
1,000,000
262,144
Released
Aug 2026
Jul 2026
License
Unknown
OpenMDW License v1.1

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Laguna XS 2.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Laguna XS 2.1 costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 14.0x more expensive than Laguna XS 2.1 ($0.10/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 22.0x more expensive than Laguna XS 2.1 ($0.20/1M tokens).

In conclusion, GLM-5.3 is more expensive than Laguna XS 2.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Poolside
Laguna XS 2.1
Input tokens$0.10
Output tokens$0.20
Best providerPoolside
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

720.0B diff

GLM-5.3 has 720.0B more parameters than Laguna XS 2.1, making it 2181.8% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Poolside
Laguna XS 2.1
33.0Bparameters
753.0B
GLM-5.3
33.0B
Laguna XS 2.1

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Laguna XS 2.1's 262,144 tokens. Only GLM-5.3 specifies output context (128,000 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Poolside
Laguna XS 2.1
Input262,144 tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Laguna XS 2.1 was released on 2026-07-02.

GLM-5.3 is 1 month newer than Laguna XS 2.1.

GLM-5.3

Aug 14, 2026

1 weeks ago

1mo newer
Laguna XS 2.1

Jul 2, 2026

1 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5.3 is available from ZAI. Laguna XS 2.1 is available from Poolside.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Laguna XS 2.1

poolside logo
Poolside
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GLM-5.3 and Laguna XS 2.1 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Laguna XS 2.1
Open in Playground

FAQ

Common questions about GLM-5.3 vs Laguna XS 2.1.

Which is better, GLM-5.3 or Laguna XS 2.1?

GLM-5.3 (Zhipu AI) and Laguna XS 2.1 (Poolside) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5.3 compare to Laguna XS 2.1 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Laguna XS 2.1 scores SWE-Bench Verified: 70.9%, SWE-bench Multilingual: 63.1%, SWE-Bench Pro: 47.6%, Terminal-Bench 2.0: 37.5%.

Is GLM-5.3 cheaper than Laguna XS 2.1?

Laguna XS 2.1 is 14.0x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Laguna XS 2.1 costs $0.10/M input and $0.20/M output via poolside.

What are the context window sizes for GLM-5.3 and Laguna XS 2.1?

GLM-5.3 supports 1.0M tokens and Laguna XS 2.1 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and Laguna XS 2.1?

Key differences include context window (1.0M vs 262K), input pricing ($1.40 vs $0.10/M), licensing (Unknown vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Laguna XS 2.1?

GLM-5.3 is developed by Zhipu AI and Laguna XS 2.1 is developed by Poolside.