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GLM 5.3 FlashX vs Laguna XS 2.1

Laguna XS 2.1 costs 10.4x less per output token than GLM 5.3 FlashX ($0.12 vs $1.25 per million). Updated October 22, 2026; no benchmark has tested both models yet.

GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
P Laguna XS 2.1Poolside
Coding
No data
Overall
No data
Output $/M
$0.12
vs $1.25 vs $0.12 per 1M output tokens. Laguna XS 2.1 is 10.4x cheaper.

GLM 5.3 FlashX or Laguna XS 2.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 5.3 FlashX for a larger context window (1.05M against 262K tokens).

No benchmark has tested either model yet, so price and context are the only way to compare them.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GLM 5.3 FlashX not benchmarked, Laguna XS 2.1 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GLM 5.3 FlashX $1.25 against Laguna XS 2.1 $0.12 per million output tokens, 10.4x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, Laguna XS 2.1 262K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GLM 5.3 FlashX$0.0010Fits in one request
Laguna XS 2.1$0.0001Fits in one request

Laguna XS 2.1 costs less

Repository review

50K input + 3K output tokens

GLM 5.3 FlashX$0.022Fits in one request
Laguna XS 2.1$0.0034Fits in one request

Laguna XS 2.1 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 FlashX$0.086Fits in one request
Laguna XS 2.1$0.013Fits in one request

Laguna XS 2.1 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GLM 5.3 FlashX and Laguna XS 2.1
SpecificationZ.ai GLM 5.3 FlashXPoolside Laguna XS 2.1
MakerZ.aiPoolside
WeightsNo public weights listedOpen weights
ReleasedSeptember 18, 2026July 2, 2026
Context window1.05M262K
Input $/Mtok$0.37$0.06
Output $/Mtok$1.25$0.12
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 FlashX better than Laguna XS 2.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5.3 FlashX for a larger context window (1.05M against 262K tokens).

Which is cheaper, GLM 5.3 FlashX or Laguna XS 2.1?

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; Laguna XS 2.1 costs $0.06 and $0.12. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 FlashX or Laguna XS 2.1?

GLM 5.3 FlashX, with 1.05M tokens against 262K.

Has any benchmark tested both GLM 5.3 FlashX and Laguna XS 2.1?

No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.

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