ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Muse Spark Open vs Nemotron 3.5 Super 120B A12B vs GLM-5.3

Nemotron 3.5 Super 120B A12B comes out ahead, 59 to 53 and 42 on our weighted score, and it is the cheaper option too.

  1. Meta

    Muse Spark Open

    Released Oct 15, 2026New

    53/100
    • ECI155.1
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark Open
  2. Our pick

    NVIDIA

    Nemotron 3.5 Super 120B A12B

    Released Oct 15, 2026New

    59/100
    • ECI—
    • Price$0.20 / $0.50
    • Context1.05M
    Full specs Remove Nemotron 3.5 Super 120B A12B

  3. Z.ai (Zhipu)

    GLM-5.3

    Released Aug 14, 2026

    42/100
    • ECI156.2
    • Price$1.40 / $4.40
    • Context1M
    Full specs Remove GLM-5.3
01 — Verdict

Nemotron 3.5 Super 120B A12B is our pick

Nemotron 3.5 Super 120B A12B is the better all-round choice, scoring 59/100 against Muse Spark Open (53) and GLM-5.3 (42). It leads on price. Muse Spark Open wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. 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 priceNemotron 3.5 Super 120B A12BNemotron 3.5 Super 120B A12B $0.275 · Muse Spark Open $2.00 · GLM-5.3 $2.15 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark Open and Nemotron 3.5 Super 120B A12BMuse Spark Open 1,048,576 · Nemotron 3.5 Super 120B A12B 1,048,576 · GLM-5.3 1,000,000 tokens
  • Widest inputsMuse Spark OpenMuse Spark Open: Text, Images, Audio, Video · Nemotron 3.5 Super 120B A12B: Text · GLM-5.3: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMuse Spark OpenNemotron 3.5 Super 120B A12BGLM-5.3
Price50%347333
Inputs & features30%803545
Context window20%616160
Overall100%53/10059/10042/100

Left out because at least one model lacks the data: capability. 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 Spark Open vs Nemotron 3.5 Super 120B A12B vs GLM-5.3 specifications side by side
SpecificationMuse Spark OpenMetaNemotron 3.5 Super 120B A12BNVIDIAGLM-5.3Z.ai (Zhipu)
Capability
Capabilities Index (ECI)155.1—156.2 (best)
ECI rank#39 of 165—#33 of 165 (best)
GPQA DiamondGraduate-level science questions88.6%—90.9% (best)
FrontierMath Tiers 1–3Research-level mathematics69.8% (best)—68.8%
OTIS Mock AIME 2024–2025Competition mathematics98.1% (best)—91.1%
SimpleQA VerifiedShort factual questions56.6% (best)—41.0%
Price per million tokens
Input$1.25$0.20 (best)$1.40
Output$4.25$0.50 (best)$4.40
Cached input——$0.26
Blended (3:1)$2.00$0.275 (best)$2.15
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 16 providersMedian of 1 providersOfficial Z.AI API
Limits
Context window1,048,576 tokens (best)1,048,576 tokens (best)1,000,000 tokens
Max output131,072 tokens131,072 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsNoNoNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYesYeslow · high · max
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenMuse Model LicenseOpenOpen
API model ID——glm-5.3
API providers16183 (best)
ReleasedOct 15, 2026Oct 15, 2026Aug 14, 2026
Knowledge cutoffJan 4, 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
  • Nemotron 3.5 Super 120B A12B$3.00
  • GLM-5.3$22.80
04 — Questions

Which should you choose?

Which is better: Muse Spark Open, Nemotron 3.5 Super 120B A12B or GLM-5.3?

Nemotron 3.5 Super 120B A12B is the better all-round choice, scoring 59/100 against Muse Spark Open (53) and GLM-5.3 (42). It leads on price. Muse Spark Open wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Muse Spark Open, Nemotron 3.5 Super 120B A12B or GLM-5.3?

Nemotron 3.5 Super 120B A12B is cheaper at $0.20 input / $0.50 output per million tokens (median across 1 API provider). Muse Spark Open costs $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). At a typical mix of three input tokens to one output token, that is $0.275 per million tokens for Nemotron 3.5 Super 120B A12B versus $2.00 for Muse Spark Open (7.3× as much) and $2.15 for GLM-5.3 (7.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Muse Spark Open has an ECI of 155.1, Nemotron 3.5 Super 120B A12B 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 Spark Open, Nemotron 3.5 Super 120B A12B and GLM-5.3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Muse Spark Open and Nemotron 3.5 Super 120B A12B 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 Open up to 131,072, Nemotron 3.5 Super 120B A12B up to 131,072, 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; Nemotron 3.5 Super 120B A12B accepts text; GLM-5.3 accepts text. Muse Spark Open handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights (Muse Model License), so you can self-host them.

Which is newer?

Muse Spark Open is the newest, released Oct 15, 2026. Nemotron 3.5 Super 120B A12B came out Oct 15, 2026; GLM-5.3 came out Aug 14, 2026. Knowledge cutoff: Muse Spark Open Jan 4, 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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