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ModelCap

Head-to-head comparison

Muse Spark 1.3 vs GLM 5.3

Muse Spark 1.3 (Meta) and GLM 5.3 (Z.ai) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 24 October 2026

As of 24 October 2026, Muse Spark 1.3 holds the stronger ModelCap Index position (#5 vs #19); and GLM 5.3 is 2.6× cheaper per output token ($1.61/1M vs $4.25/1M).

Which should you choose?

Choose Muse Spark 1.3 if…

  • you want the stronger overall ModelCap Index position — #5 against #19 (83.7 vs 79.0 points).
  • Arena text is your yardstick — 1496 against 1481.
  • Arena coding is your yardstick — 1536 against 1521.
  • LMArena Agent is your yardstick — 3.1% against 1.2%.
  • you want the more recently listed model — Muse Spark 1.3 was listed 2 September 2026, GLM 5.3 18 August 2026.

Choose GLM 5.3 if…

  • API cost matters — $1.61/1M output tokens against $4.25/1M, about 2.6× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.091/1M against $1.25/1M.
  • you want provider choice — 37 listed API providers against 1.
  • Terminal-Bench 4.0 is your yardstick — 41.8% against 14.6%.

Muse Spark 1.3 vs GLM 5.3: specs, pricing and context

Specification comparison of Muse Spark 1.3 and GLM 5.3
FieldMuse Spark 1.3MetaGLM 5.3Z.ai
ModelCap Index position#5#19
Index score83.779.0
EvidenceMeasuredMeasured
Input price / 1M tokens$1.25$0.091
Output price / 1M tokens$4.25$1.61
Context window1M tokens1M tokens
Declared route output cap944K944K
API providers listed137
Weight accessNo linked weightsRestricted license
Input modalitiesText, Image, Video, FileText
First listed2 September 202618 August 2026
PublisherMetaZ.ai

Evidence: 3 public benchmark observations across 3 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Muse Spark 1.3 vs GLM 5.3

Public benchmark boards where Muse Spark 1.3 or GLM 5.3 has a published result
BoardMuse Spark 1.3GLM 5.3Leads
Arena textArena (LMArena)14961490–1501Max14811476–1486MaxMuse Spark 1.3
Arena codingArena (LMArena)15361527–1545Max15211513–1529MaxMuse Spark 1.3
LMArena AgentLMArena3.1%2.2%–3.9%Max1.2%0.4%–2.1%MaxMuse Spark 1.3
AA Intelligence IndexArtificial Analysis—44.8MaxOnly one result
AA Terminal-Bench 2.1Artificial Analysis—83.9%MaxOnly one result
AA Humanity's Last ExamArtificial Analysis—42.3%MaxOnly one result
Terminal-Bench 4.0Terminal-Bench (Laude Institute)14.6%11.6%–17.5%Muse Code · X-High41.8%38.6%–45.1%Claude Code · MaxGLM 5.3

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Muse Spark 1.3 vs GLM 5.3: common questions

Is Muse Spark 1.3 better than GLM 5.3?

Muse Spark 1.3 ranks higher on the ModelCap Index as of 24 October 2026: #5 against #19. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Muse Spark 1.3 cheaper than GLM 5.3?

GLM 5.3 is cheaper on output tokens: $1.61/1M against $4.25/1M. Input tokens are $1.25/1M for Muse Spark 1.3 and $0.091/1M for GLM 5.3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $4.63 for Muse Spark 1.3 versus $0.99 for GLM 5.3. GLM 5.3 costs 78.7% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Muse Spark 1.3 or GLM 5.3?

Both publish a 1M-token context window. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.

Which is better for coding, Muse Spark 1.3 or GLM 5.3?

Arena coding: Muse Spark 1.3 1536, GLM 5.3 1521 — Muse Spark 1.3 leads. Terminal-Bench 4.0: Muse Spark 1.3 14.6%, GLM 5.3 41.8% — GLM 5.3 leads.

Are Muse Spark 1.3 and GLM 5.3 open-weight models?

Muse Spark 1.3: No linked weights. GLM 5.3: Restricted license. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.

Where can I run Muse Spark 1.3 and GLM 5.3?

ModelCap currently lists 1 API provider for Muse Spark 1.3 and 37 for GLM 5.3, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Muse Spark 1.3 vs GLM 5.3 comparison?

Every figure and ModelCap Index position comes from the same published snapshot dated 24 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.

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