Muse Wonder vs GLM-5.3 Fast

rates, context and capabilities side by side on the impossibl api, and what the same workload costs on each.

the models at a glance: base rates, context window and modalities
specificationMuse Wonder

meta/muse-wonder

GLM-5.3 Fast

zai/glm-5.3-fast

input · usd / 1m tok$4.00$2.10
output · usd / 1m tok$20.00$6.60
context window1.05mtokens1mtokens
modalities · in → out

takes text and image in, gives text out

takes text in, gives text out

pricing

base api rates by model
base api rates · usd per 1m tokensMuse Wonder

meta/muse-wonder

GLM-5.3 Fast

zai/glm-5.3-fast

input$4.00$2.10
output$20.00$6.60
cache read$0.20$0.39

the estimate below prices one workload at these rates on every model.

specifications

published specifications by model
as publishedMuse Wonder

meta/muse-wonder

GLM-5.3 Fast

zai/glm-5.3-fast

creatorMetaZ.AI
model typeText generationText generation
context window1,048,576tokens1,000,000tokens
input

takes text and image in, gives text out

takes text in, gives text out

outputtexttext
tool callingnot verifiednot verified
releasedoct 12, 2026aug 14, 2026
endpoint/v1/chat/completions/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

benchmarks

benchmark scores by model, primary tested configuration
primary configurationMuse Wonder

meta/muse-wonder

max

GLM-5.3 Fast

zai/glm-5.3-fast

no benchmarks yet

intelligence index · gateway rank52.4#6 of 108not measured
omniscience25.5#10 of 84not measured
humanity’s last exam50.1%#4 of 87
not measured
aa-lcr80.7%
not measured
automationbench partial68.1%
not measured
scicode60.3%
not measured
gdp.pdf all-pass30.6%
not measured
critpt28.3%
not measured
harvey lab10.0%
not measured

Muse Wonder source ↗

each column describes the tested configuration named under the model; performance and costs can differ on impossibl. a score one model was not measured on is left blank rather than scored zero. indices are ranked against every model on the gateway with one. last checked 2026-10-14.

estimate your cost

one token workload, priced on every model at the published rates, in usd. change the numbers to match yours.

token workload

total input, including cached tokens

include billable reasoning tokens

the same token usage in each request

a subset of total input, never additional tokens

Muse Wonder

meta/muse-wonder

estimated usage cost

$14.00

1,000 requests × (1,000 uncached input × $4.00 + 500 output × $20.00) / 1,000,000 = $14.00

base rates; no context pricing tiers are published.

GLM-5.3 Fast

zai/glm-5.3-fast

estimated usage cost

$5.40

1,000 requests × (1,000 uncached input × $2.10 + 500 output × $6.60) / 1,000,000 = $5.40

base rates; no context pricing tiers are published.

estimates use published impossibl api usage rates. configured billing adjustments, funding fees, taxes, and custom workspace rates are excluded and may change the final amount.

image and audio usage, cache creation, and additional tool charges are excluded. reasoning tokens count as billable output, even when they are not visible in the response.

summary

Muse Wonder and GLM-5.3 Fast are available through the Impossibl API. they share the /v1/chat/completions endpoint; the model identifier selects the model for a request.

Muse Wonder is created by Meta. It has a 1,048,576-token context window. Base API pricing (USD): $4.00 per million input tokens; $20.00 per million output tokens.

GLM-5.3 Fast is created by Z.AI. It has a 1,000,000-token context window. Base API pricing (USD): $2.10 per million input tokens; $6.60 per million output tokens.

Muse Wonder →GLM-5.3 Fast →

this page compares Muse Wonder vs GLM-5.3 Fast as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes.

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