GLM-5.3 vs Laguna S 2.1

GLM-5.3 leads the LLM Stats Score 52.7 to 40.9. Laguna S 2.1 is 15.2x cheaper per token.

Zhipu AI · Poolside · Updated for 2026

Which is better?

GLM-5.3 leads the overall LLM Stats Score 52.7 to 40.9, ranking #9 overall.

In the 3 individual benchmarks reported for both models, GLM-5.3 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Laguna S 2.1 is roughly 15.2x 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-5.3

overall performance matters — it scores 52.7 and ranks #9 on LLM Stats
your work emphasizes reasoning and coding — it leads those capability indexes
you value its reported benchmark strengths — it wins 3 of 3 exact shared results
you want the most recent training data — it shipped Aug 2026

Choose Laguna S 2.1

cost matters — it's about 15.2x cheaper per token

At a glance

The differences that matter most.

Better token value: Laguna S 2.1

Core performance indexes

LLM Stats Score

52.7

#9 · 17 evals

Best

40.9

#53 · 6 evals

Reasoning

51.9

#6 · 9 evals

Best

40.4

#53 · 4 evals

Coding

42.6

#7 · 12 evals

Best

31.0

#45 · 5 evals

Agents

39.4

#8 · 16 evals

Best

24.6

#50 · 5 evals

Cost, coverage & limits

Benchmark wins

3 of 3

Best

0 of 3

Input price

$1.20 / M

$0.10 / M

Best

Output price

$4.00 / M

$0.20 / M

Best

Context window

1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

GLM-5.3

Laguna S 2.1

Tool use

33.4#5 · 6 evals

17.4#73 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GLM-5.3 · 6 for Laguna S 2.1

3 shared

GLM-5.3 outperforms in 3 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1, Toolathlon), while Laguna S 2.1 is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Thu Sep 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Laguna S 2.1 costs less

For input processing, GLM-5.3 ($1.20/1M tokens) is 12.0x more expensive than Laguna S 2.1 ($0.10/1M tokens).

For output processing, GLM-5.3 ($4.00/1M tokens) is 20.0x more expensive than Laguna S 2.1 ($0.20/1M tokens).

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

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

Lowest available price from all providers

Thu Sep 17 2026 • llm-stats.com

GLM-5.3

Input tokens$1.20

Output tokens$4.00

Best providerDeepinfra

Laguna S 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

635.0B diff

GLM-5.3 has 635.0B more parameters than Laguna S 2.1, making it 538.1% larger.

GLM-5.3

753.0Bparameters

Laguna S 2.1

118.0Bparameters

753.0B

GLM-5.3

118.0B

Laguna S 2.1

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Only GLM-5.3 specifies output context (1,048,576 tokens).

GLM-5.3

Input1,048,576 tokens

Output1,048,576 tokens

Laguna S 2.1

Input1,048,576 tokens

Output- tokens

Thu Sep 17 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5.3 is licensed under GLM-5.3 License, 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.

GLM-5.3

GLM-5.3 License

Open weights

Laguna S 2.1

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Laguna S 2.1 was released on 2026-07-21.

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

GLM-5.3

Aug 14, 2026

1 months ago

3w newer

Laguna S 2.1

Jul 21, 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 DeepInfra, FriendliAI, Novita, ZAI. Laguna S 2.1 is available from Poolside.

GLM-5.3

Deepinfra

Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M

FriendliAI

Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Novita

Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Unknown Organization

Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Laguna S 2.1

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 S 2.1 side-by-side, then vote on the output you prefer.

GLM-5.3

✓ Preferred

Laguna S 2.1

Open in Playground

FAQ

Common questions about GLM-5.3 vs Laguna S 2.1.

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

GLM-5.3 leads the LLM Stats Score 52.7 to 40.9. GLM-5.3 is made by Zhipu AI and Laguna S 2.1 is made by Poolside. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3 compare to Laguna S 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 S 2.1 scores SWE-bench Multilingual: 78.5%, Terminal-Bench 2.1: 70.2%, SWE-Bench Pro: 59.4%, Toolathlon: 49.7%, SWE Atlas - Codebase QnA: 46.2%.

Is GLM-5.3 cheaper than Laguna S 2.1?

Laguna S 2.1 is 12.0x cheaper for input tokens. GLM-5.3 costs $1.20/M input and $4.00/M output via deepinfra. Laguna S 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 S 2.1?

GLM-5.3 supports 1.0M tokens and Laguna S 2.1 supports 1.0M 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 S 2.1?

Key differences include LLM Stats Score (52.7 vs 40.9), input pricing ($1.20 vs $0.10/M), licensing (GLM-5.3 License vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Laguna S 2.1?

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

GLM-5.3 vs Laguna S 2.1

Which is better?

Choose GLM-5.3

Choose Laguna S 2.1

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

GLM-5.3

Laguna S 2.1

Outputs Comparison

Judge for yourself.

FAQ

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

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

Is GLM-5.3 cheaper than Laguna S 2.1?

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

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

Who makes GLM-5.3 and Laguna S 2.1?

More GLM-5.3 comparisons

More Laguna S 2.1 comparisons

GLM-5.3 vs Laguna S 2.1

Which is better?

Choose GLM-5.3

Choose Laguna S 2.1

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

GLM-5.3

Laguna S 2.1

Outputs Comparison

Judge for yourself.

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

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

Is GLM-5.3 cheaper than Laguna S 2.1?

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

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

Who makes GLM-5.3 and Laguna S 2.1?

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