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GLM 5.3 FlashX vs Perceptron Mk1.5

GLM 5.3 FlashX costs 1.2x less per output token than Perceptron Mk1.5 ($1.25 vs $1.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 FlashX Replace Perceptron Mk1.5
GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
Perceptron Mk1.5Perceptron
Coding
No data
Overall
No data
Output $/M
$1.50
vs $1.25 vs $1.50 per 1M output tokens. GLM 5.3 FlashX is 1.2x cheaper.

GLM 5.3 FlashX or Perceptron Mk1.5: which to pick

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

Pick GLM 5.3 FlashX for output tokens 1.2x cheaper ($1.25 vs $1.50 per million) and a larger context window (1.05M against 37K tokens).

Model AGLM 5.3 FlashXZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BPerceptron Mk1.5PerceptronNot benchmarkedNo coding benchmarkNo cost per solved task

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, Perceptron Mk1.5 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 Perceptron Mk1.5 $1.50 per million output tokens, 1.2x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, Perceptron Mk1.5 37K.

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
Perceptron Mk1.5$0.0009Fits in one request

Perceptron Mk1.5 costs less

Repository review

50K input + 3K output tokens

GLM 5.3 FlashX$0.022Fits in one request
Perceptron Mk1.5$0.012Exceeds the context window

Perceptron Mk1.5 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 FlashX$0.086Fits in one request
Perceptron Mk1.5$0.045Exceeds the context window

Perceptron Mk1.5 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 Perceptron Mk1.5
SpecificationZ.ai GLM 5.3 FlashXPerceptron Mk1.5
MakerZ.aiPerceptron
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 18, 2026September 25, 2026
Context window1.05M37K
Input $/Mtok$0.37$0.15
Output $/Mtok$1.25$1.50
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 Perceptron Mk1.5 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5.3 FlashX for output tokens 1.2x cheaper ($1.25 vs $1.50 per million) and a larger context window (1.05M against 37K tokens).

Which is cheaper, GLM 5.3 FlashX or Perceptron Mk1.5?

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; Perceptron Mk1.5 costs $0.15 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 FlashX or Perceptron Mk1.5?

GLM 5.3 FlashX, with 1.05M tokens against 37K.

Has any benchmark tested both GLM 5.3 FlashX and Perceptron Mk1.5?

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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