ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Nemotron 3.5 Super 120B A12B vs GLM-5.3

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

  1. 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

  2. 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

  3. Add a model

    Make it a three-way comparison.

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 GLM-5.3 (42). It leads on price. GLM-5.3 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 · GLM-5.3 $2.15 per 1M tokens (3:1 blend)
  • Longest contextNemotron 3.5 Super 120B A12BNemotron 3.5 Super 120B A12B 1,048,576 · GLM-5.3 1,000,000 tokens
  • Widest inputsSame inputsNemotron 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
MeasureWeightNemotron 3.5 Super 120B A12BGLM-5.3
Price50%7333
Inputs & features30%3545
Context window20%6160
Overall100%59/10042/100

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.

Nemotron 3.5 Super 120B A12B vs GLM-5.3 specifications side by side
SpecificationNemotron 3.5 Super 120B A12BNVIDIAGLM-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$0.20 (best)$1.40
Output$0.50 (best)$4.40
Cached input—$0.26
Blended (3:1)$0.275 (best)$2.15
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Z.AI API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens
Max output131,072 tokens131,072 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYeslow · high · max
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model ID—glm-5.3
API providers183 (best)
ReleasedOct 15, 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.

  • Nemotron 3.5 Super 120B A12B$3.00
  • GLM-5.3$22.80
04 — Questions

Which should you choose?

Which is better: 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 GLM-5.3 (42). It leads on price. GLM-5.3 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, 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). 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 $2.15 for GLM-5.3 (7.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. 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 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. Both support tool calling for agent workflows.

Which has the bigger context window?

Nemotron 3.5 Super 120B A12B has the largest context window at 1,048,576 tokens, against 1,000,000 for GLM-5.3. Maximum output per response: 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?

Nemotron 3.5 Super 120B A12B accepts text; GLM-5.3 accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Nemotron 3.5 Super 120B A12B is the newest, released Oct 15, 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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