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GLM 5.3 Prime vs Moondream 3.1

Moondream 3.1 costs 3.5x less per output token than GLM 5.3 Prime ($2.50 vs $8.80 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 Prime Replace Moondream 3.1
GLM 5.3 PrimeZ.ai
Coding
No data
Overall
No data
Output $/M
$8.80
M Moondream 3.1Moondream
Coding
No data
Overall
No data
Output $/M
$2.50
vs $8.80 vs $2.50 per 1M output tokens. Moondream 3.1 is 3.5x cheaper.

GLM 5.3 Prime or Moondream 3.1: which to pick

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

Pick GLM 5.3 Prime for a larger context window (1M against 32K tokens).

Model AGLM 5.3 PrimeZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMoondream 3.1MoondreamNot 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 Prime not benchmarked, Moondream 3.1 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 Prime $8.80 against Moondream 3.1 $2.50 per million output tokens, 3.5x apart.
Context window
GLM 5.3 Prime takes 1M tokens, Moondream 3.1 32K.

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 Prime$0.0072Fits in one request
Moondream 3.1$0.0015Fits in one request

Moondream 3.1 costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Prime$0.166Fits in one request
Moondream 3.1$0.022Exceeds the context window

Moondream 3.1 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Prime$0.648Fits in one request
Moondream 3.1$0.085Exceeds the context window

Moondream 3.1 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 Prime and Moondream 3.1
SpecificationZ.ai GLM 5.3 PrimeMoondream 3.1
MakerZ.aiMoondream
WeightsNo public weights listedOpen weights
ReleasedSeptember 23, 2026October 15, 2026
Context window1M32K
Input $/Mtok$2.80$0.30
Output $/Mtok$8.80$2.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Prime better than Moondream 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5.3 Prime for a larger context window (1M against 32K tokens).

Which is cheaper, GLM 5.3 Prime or Moondream 3.1?

GLM 5.3 Prime costs $2.80 per million input tokens and $8.80 per million output tokens; Moondream 3.1 costs $0.30 and $2.50. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 Prime or Moondream 3.1?

GLM 5.3 Prime, with 1M tokens against 32K.

Has any benchmark tested both GLM 5.3 Prime and Moondream 3.1?

No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 21, 2026.

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