ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Muse Spark 1.2 vs Inkling Small vs GLM-5.3

Too close to call on our weighted score (Muse Spark 1.2 72, Inkling Small 70, GLM-5.3 64). The right pick depends on what you value most.

  1. Meta

    Muse Spark 1.2

    Released Aug 5, 2026

    72/100
    • ECI155.0
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark 1.2

  2. Thinking Machines

    Inkling Small

    Released Jul 30, 2026

    70/100
    • ECI150.2
    • Price$0.50 / $1.20
    • Context1.05M
    Full specs Remove Inkling Small

  3. Z.ai (Zhipu)

    GLM-5.3

    Released Aug 14, 2026

    64/100
    • ECI155.8
    • Price$1.40 / $4.40
    • Context1M
    Full specs Remove GLM-5.3
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Muse Spark 1.2 72/100, Inkling Small 70/100, GLM-5.3 64/100), so choose by what matters most for your work: GLM-5.3 for raw capability and Inkling Small on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-5.3Capabilities Index (ECI): GLM-5.3 155.8 · Muse Spark 1.2 155.0 · Inkling Small 150.2
  • Lowest priceInkling SmallInkling Small $0.675 · Muse Spark 1.2 $2.00 · GLM-5.3 $2.15 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.2 and Inkling SmallMuse Spark 1.2 1,048,576 · Inkling Small 1,048,576 · GLM-5.3 1,000,000 tokens
  • Widest inputsMuse Spark 1.2Muse Spark 1.2: Text, Images, PDFs, Audio, Video · Inkling Small: Text, Images, Audio · GLM-5.3: Text
  • Self-hostingInkling Small and GLM-5.3Publishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightMuse Spark 1.2Inkling SmallGLM-5.3
CapabilityCapabilities Index (ECI)50%847885
Price25%365834
Inputs & features15%1007045
Context window10%616160
Overall100%72/10070/10064/100
02 — Side by side

Every spec in one table

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

Muse Spark 1.2 vs Inkling Small vs GLM-5.3 specifications side by side
SpecificationMuse Spark 1.2MetaInkling SmallThinking MachinesGLM-5.3Z.ai (Zhipu)
Capability
Capabilities Index (ECI)155.0150.2155.8 (best)
ECI rank#30 of 148#47 of 148#24 of 148 (best)
GPQA DiamondGraduate-level science questions—88.5%90.9% (best)
FrontierMath Tiers 1–3Research-level mathematics—46.3%68.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics—90.0%91.1% (best)
SimpleQA VerifiedShort factual questions60.3% (best)19.1%41.0%
Price per million tokens
Input$1.25$0.50 (best)$1.40
Output$4.25$1.20 (best)$4.40
Cached input$0.15 (best)—$0.26
Blended (3:1)$2.00$0.675 (best)$2.15
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Meta APIMedian of 11 providersOfficial Z.AI API
Limits
Context window1,048,576 tokens (best)1,048,576 tokens (best)1,000,000 tokens
Max output131,072 tokens1,048,576 tokens (best)131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesNoNo
AudioYesYesNo
VideoYesNoNo
ReasoningYesminimal · low · medium · high · xhighYesYeslow · high · max
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenApache-2.0Open
API model IDmuse-spark-1.2—glm-5.3
API providers151162 (best)
ReleasedAug 5, 2026Jul 30, 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 Spark 1.2$21.00
  • Inkling Small$7.40
  • GLM-5.3$22.80
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.2, Inkling Small or GLM-5.3?

It is close. Our weighted score puts them within 2 points (Muse Spark 1.2 72/100, Inkling Small 70/100, GLM-5.3 64/100), so choose by what matters most for your work: GLM-5.3 for raw capability and Inkling Small on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.2, Inkling Small or GLM-5.3?

Inkling Small is cheaper at $0.50 input / $1.20 output per million tokens (median across 11 API providers). Muse Spark 1.2 costs $1.25 input / $4.25 output per million tokens (official Meta API price); GLM-5.3 costs $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 $0.675 per million tokens for Inkling Small versus $2.00 for Muse Spark 1.2 (3× as much) and $2.15 for GLM-5.3 (3.2× as much).

Which scores higher on benchmarks?

GLM-5.3 scores higher on the Capabilities Index (ECI): GLM-5.3 155.8 (#24 of 148), Muse Spark 1.2 155.0 (#30 of 148) and Inkling Small 150.2 (#47 of 148). The confidence ranges of the top two overlap (153.7–158.3 vs 152.8–157.5), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.2 60.3%, GLM-5.3 41.0%, Inkling Small 19.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.2, Inkling Small 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 1.2 and Inkling Small have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for GLM-5.3. Maximum output per response: Muse Spark 1.2 up to 131,072, Inkling Small up to 1,048,576, GLM-5.3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.2 accepts text, images, PDFs, audio and video; Inkling Small accepts text, images and audio; GLM-5.3 accepts text. Muse Spark 1.2 handles the widest range of inputs.

Are any of these open source?

Inkling Small and GLM-5.3 publishes its weights (Apache-2.0) and can be self-hosted; Muse Spark 1.2 is proprietary.

Which is newer?

GLM-5.3 is the newest, released Aug 14, 2026. Muse Spark 1.2 came out Aug 5, 2026; Inkling Small came out Jul 30, 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 Oct 4, 2026.

05 — Keep comparing

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