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GLM 5.3 Prime vs Muse Spark 1.2 Contributor

Muse Spark 1.2 Contributor costs 44.0x less per output token than GLM 5.3 Prime ($0.20 vs $8.80 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 Prime Replace Muse Spark 1.2 Contributor
GLM 5.3 PrimeZ.ai
Coding
No data
Overall
No data
Output $/M
$8.80
Muse Spark 1.2 ContributorMeta
Coding
No data
Overall
No data
Output $/M
$0.20
vs $8.80 vs $0.20 per 1M output tokens. Muse Spark 1.2 Contributor is 44.0x cheaper.

GLM 5.3 Prime or Muse Spark 1.2 Contributor: which to pick

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

Compare them on price, context and the boards below.

Model AGLM 5.3 PrimeZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMuse Spark 1.2 ContributorMetaNot 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, Muse Spark 1.2 Contributor 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 Muse Spark 1.2 Contributor $0.20 per million output tokens, 44.0x apart.
Context window
GLM 5.3 Prime takes 1M tokens, Muse Spark 1.2 Contributor 1.05M.

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
Muse Spark 1.2 Contributor$0.0002Fits in one request

Muse Spark 1.2 Contributor costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Prime$0.166Fits in one request
Muse Spark 1.2 Contributor$0.0056Fits in one request

Muse Spark 1.2 Contributor costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Prime$0.648Fits in one request
Muse Spark 1.2 Contributor$0.022Fits in one request

Muse Spark 1.2 Contributor 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 Muse Spark 1.2 Contributor
SpecificationZ.ai GLM 5.3 PrimeMeta Muse Spark 1.2 Contributor
MakerZ.aiMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 23, 2026August 21, 2026
Context window1M1.05M
Input $/Mtok$2.80$0.10
Output $/Mtok$8.80$0.20
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 Muse Spark 1.2 Contributor for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 5.3 Prime or Muse Spark 1.2 Contributor?

GLM 5.3 Prime costs $2.80 per million input tokens and $8.80 per million output tokens; Muse Spark 1.2 Contributor costs $0.10 and $0.20. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 Prime or Muse Spark 1.2 Contributor?

Muse Spark 1.2 Contributor, with 1.05M tokens against 1M.

Has any benchmark tested both GLM 5.3 Prime and Muse Spark 1.2 Contributor?

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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