ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Muse Spark Open vs Grok 4.7 vs GLM-5.3

Muse Spark Open comes out ahead, 68 to 64 and 63 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Meta

    Muse Spark Open

    Released Oct 15, 2026New

    68/100
    • ECI155.1
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark Open

  2. xAI

    Grok 4.7

    Released Sep 21, 2026New

    64/100
    • ECI154.6
    • Price$2.00 / $6.00
    • Context500K
    Full specs Remove Grok 4.7

  3. Z.ai (Zhipu)

    GLM-5.3

    Released Aug 14, 2026

    63/100
    • ECI156.2
    • Price$1.40 / $4.40
    • Context1M
    Full specs Remove GLM-5.3
01 — Verdict

Muse Spark Open is our pick

Muse Spark Open is the better all-round choice, scoring 68/100 against Grok 4.7 (64) and GLM-5.3 (63). The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-5.3Capabilities Index (ECI): GLM-5.3 156.2 · Muse Spark Open 155.1 · Grok 4.7 154.6
  • Lowest priceMuse Spark OpenMuse Spark Open $2.00 · GLM-5.3 $2.15 · Grok 4.7 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark OpenMuse Spark Open 1,048,576 · GLM-5.3 1,000,000 · Grok 4.7 500,000 tokens
  • Widest inputsMuse Spark OpenMuse Spark Open: Text, Images, Audio, Video · Grok 4.7: Text, Images, PDFs · GLM-5.3: Text
  • Self-hostingMuse Spark Open and GLM-5.3Publishes downloadable weights (Muse Model License)
How the score is built
MeasureWeightMuse Spark OpenGrok 4.7GLM-5.3
CapabilityCapabilities Index (ECI)50%838284
Price25%342633
Inputs & features15%808045
Context window10%614860
Overall100%68/10064/10063/100
02 — Side by side

Every spec in one table

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

Muse Spark Open vs Grok 4.7 vs GLM-5.3 specifications side by side
SpecificationMuse Spark OpenMetaGrok 4.7xAIGLM-5.3Z.ai (Zhipu)
Capability
Capabilities Index (ECI)155.1154.6156.2 (best)
ECI rank#39 of 165#43 of 165#33 of 165 (best)
GPQA DiamondGraduate-level science questions88.6%92.7% (best)90.9%
FrontierMath Tiers 1–3Research-level mathematics69.8% (best)53.0%68.8%
OTIS Mock AIME 2024–2025Competition mathematics98.1% (best)98.1% (best)91.1%
SimpleQA VerifiedShort factual questions56.6% (best)56.0%41.0%
Price per million tokens
Input$1.25 (best)$2.00$1.40
Output$4.25 (best)$6.00$4.40
Cached input—$0.50$0.26 (best)
Blended (3:1)$2.00 (best)$3.00$2.15
Long-context rateSame rateOver 200K: $4.00 / $12.00Same rate
Price sourceMedian of 16 providersOfficial xAI APIOfficial Z.AI API
Limits
Context window1,048,576 tokens (best)500,000 tokens1,000,000 tokens
Max output131,072 tokens500,000 tokens (best)131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoYesNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYeslow · medium · high · xhighYeslow · high · max
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenMuse Model LicenseProprietaryOpen
API model ID—grok-4.7glm-5.3
API providers162783 (best)
ReleasedOct 15, 2026Sep 21, 2026Aug 14, 2026
Knowledge cutoffJan 4, 2026May 2026—
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 Spark Open$21.00
  • Grok 4.7$32.00
  • GLM-5.3$22.80
04 — Questions

Which should you choose?

Which is better: Muse Spark Open, Grok 4.7 or GLM-5.3?

Muse Spark Open is the better all-round choice, scoring 68/100 against Grok 4.7 (64) and GLM-5.3 (63). The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark Open, Grok 4.7 or GLM-5.3?

Muse Spark Open is cheaper at $1.25 input / $4.25 output per million tokens (median across 16 API providers). GLM-5.3 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price); Grok 4.7 costs $2.00 input / $6.00 output per million tokens (official xAI API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark Open versus $2.15 for GLM-5.3 (1.1× as much) and $3.00 for Grok 4.7 (1.5× as much).

Which scores higher on benchmarks?

GLM-5.3 scores higher on the Capabilities Index (ECI): GLM-5.3 156.2 (#33 of 165), Muse Spark Open 155.1 (#39 of 165) and Grok 4.7 154.6 (#43 of 165). The confidence ranges of the top two overlap (154.3–158.5 vs 153.1–157.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Grok 4.7 92.7%, GLM-5.3 90.9%, Muse Spark Open 88.6%; FrontierMath Tiers 1–3 — Muse Spark Open 69.8%, GLM-5.3 68.8%, Grok 4.7 53.0%; OTIS Mock AIME 2024–2025 — Muse Spark Open 98.1%, Grok 4.7 98.1%, GLM-5.3 91.1%; SimpleQA Verified — Muse Spark Open 56.6%, Grok 4.7 56.0%, GLM-5.3 41.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark Open, Grok 4.7 and GLM-5.3 yet, so there is no like-for-like coding score. On overall capability, GLM-5.3 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Muse Spark Open has the largest context window at 1,048,576 tokens, against 1,000,000 for GLM-5.3 and 500,000 for Grok 4.7. Maximum output per response: Muse Spark Open up to 131,072, Grok 4.7 up to 500,000, GLM-5.3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Muse Spark Open accepts text, images, audio and video; Grok 4.7 accepts text, images and PDFs; GLM-5.3 accepts text. Muse Spark Open handles the widest range of inputs.

Are any of these open source?

Muse Spark Open and GLM-5.3 publishes its weights (Muse Model License) and can be self-hosted; Grok 4.7 is proprietary.

Which is newer?

Muse Spark Open is the newest, released Oct 15, 2026. Grok 4.7 came out Sep 21, 2026; GLM-5.3 came out Aug 14, 2026. Knowledge cutoff: Muse Spark Open Jan 4, 2026, Grok 4.7 May 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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