ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Muse Wonder Full vs GLM-5.3

Muse Wonder Full comes out ahead, 72 to 51 on our weighted score.

  1. Our pick

    Meta

    Muse Wonder Full

    Released Oct 12, 2026New

    72/100
    • ECI—
    • Price—
    • Context1.05M
    Full specs Remove Muse Wonder Full

  2. Z.ai (Zhipu)

    GLM-5.3

    Released Aug 14, 2026

    51/100
    • ECI156.2
    • Price$1.40 / $4.40
    • Context1M
    Full specs Remove GLM-5.3

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Muse Wonder Full is our pick

Muse Wonder Full is the better all-round choice, scoring 72/100 against GLM-5.3 (51). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceGLM-5.3GLM-5.3 $2.15 per 1M tokens (3:1 blend) · Muse Wonder Full unpriced
  • Longest contextMuse Wonder FullMuse Wonder Full 1,048,576 · GLM-5.3 1,000,000 tokens
  • Widest inputsMuse Wonder FullMuse Wonder Full: Text, Images, Audio, Video · GLM-5.3: Text
  • Self-hostingGLM-5.3Publishes downloadable weights
How the score is built
MeasureWeightMuse Wonder FullGLM-5.3
Inputs & features60%8045
Context window40%6160
Overall100%72/10051/100

Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Muse Wonder Full vs GLM-5.3 specifications side by side
SpecificationMuse Wonder FullMetaGLM-5.3Z.ai (Zhipu)
Capability
Capabilities Index (ECI)—156.2
ECI rank—#33 of 165
GPQA DiamondGraduate-level science questions—90.9%
FrontierMath Tiers 1–3Research-level mathematics—68.8%
OTIS Mock AIME 2024–2025Competition mathematics—91.1%
SimpleQA VerifiedShort factual questions—41.0%
Price per million tokens
Input—$1.40
Output—$4.40
Cached input—$0.26
Blended (3:1)—$2.15
Long-context rate—Same rate
Price source—Official Z.AI API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens
Max output—131,072 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioYesNo
VideoYesNo
ReasoningYesYeslow · high · max
Tool callingYesYes
Structured outputNoYes
Availability
WeightsProprietaryOpen
API model ID—glm-5.3
API providers—83
ReleasedOct 12, 2026Aug 14, 2026
Knowledge cutoff——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Muse Wonder Full—
  • GLM-5.3$22.80
04 — Questions

Which should you choose?

Which is better: Muse Wonder Full or GLM-5.3?

Muse Wonder Full is the better all-round choice, scoring 72/100 against GLM-5.3 (51). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Muse Wonder Full or GLM-5.3?

GLM-5.3 is cheaper at $1.40 input / $4.40 output per million tokens (official Z.AI API price). . At a typical mix of three input tokens to one output token, that is $2.15 per million tokens for GLM-5.3 versus . Muse Wonder Full has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Muse Wonder Full has not been scored yet and GLM-5.3 has an ECI of 156.2.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Wonder Full and GLM-5.3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Muse Wonder Full has the largest context window at 1,048,576 tokens, against 1,000,000 for GLM-5.3. Maximum output per response: GLM-5.3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Muse Wonder Full accepts text, images, audio and video; GLM-5.3 accepts text. Muse Wonder Full handles the widest range of inputs.

Are any of these open source?

GLM-5.3 publishes its weights and can be self-hosted; Muse Wonder Full is proprietary.

Which is newer?

Muse Wonder Full is the newest, released Oct 12, 2026. GLM-5.3 came out Aug 14, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.

05 — Keep comparing

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