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Head-to-head comparison

Nex-N2-Mini vs GLM 5.3

Nex-N2-Mini (Nex AGI) 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 19 August 2026

As of 19 August 2026, GLM 5.3 holds the stronger ModelCap Index position (#7 vs #25); Nex-N2-Mini is 44× cheaper per output token ($0.10/1M vs $4.40/1M); GLM 5.3 offers the longer context window (1M vs 262K tokens); and Nex-N2-Mini ships open weights.

Which should you choose?

Choose Nex-N2-Mini if…

  • API cost matters — $0.10/1M output tokens against $4.40/1M, about 44× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.025/1M against $1.40/1M.
  • you want to self-host: Nex-N2-Mini ships open weights while GLM 5.3 is api only.

Choose GLM 5.3 if…

  • you want the stronger overall ModelCap Index position — #7 against #25 (78.4 vs 63.5 points).
  • you need the longer context window — 1M tokens against 262K.
  • you want the more recently listed model — GLM 5.3 was listed 18 August 2026, Nex-N2-Mini 24 June 2026.

Nex-N2-Mini vs GLM 5.3: specs, pricing and context

Specification comparison of Nex-N2-Mini and GLM 5.3
FieldNex-N2-MiniNex AGIGLM 5.3Z.ai
ModelCap Index position#25#7
Index score63.578.4
EvidenceEstimatedMeasured
Input price / 1M tokens$0.025$1.40
Output price / 1M tokens$0.10$4.40
Context window262K tokens1M tokens
Max output tokens262K131K
API providers listed11
Weight accessOpen weightsAPI only
Input modalitiesText, ImageText
First listed24 June 202618 August 2026
PublisherNex AGIZ.ai

Evidence: start rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Nex-N2-Mini vs GLM 5.3

Public benchmark boards where Nex-N2-Mini or GLM 5.3 has a published result
BoardNex-N2-MiniGLM 5.3Leads
Artificial Analysis Intelligence IndexArtificial Analysis59.5intelligence-indexOnly one result

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.

Nex-N2-Mini vs GLM 5.3: common questions

Is Nex-N2-Mini better than GLM 5.3?

GLM 5.3 ranks higher on the ModelCap Index as of 19 August 2026: #7 against #25. 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.

Is Nex-N2-Mini cheaper than GLM 5.3?

Nex-N2-Mini is cheaper on output tokens: $0.10/1M against $4.40/1M. Input tokens are $0.025/1M for Nex-N2-Mini and $1.40/1M for GLM 5.3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Nex-N2-Mini or GLM 5.3?

GLM 5.3 has the larger context window: 1M tokens against 262K.

Which is better for coding, Nex-N2-Mini or GLM 5.3?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Nex-N2-Mini and GLM 5.3 open-weight models?

Nex-N2-Mini: Open weights. GLM 5.3: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Nex-N2-Mini and GLM 5.3?

ModelCap currently lists 1 API provider for Nex-N2-Mini and 1 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 Nex-N2-Mini vs GLM 5.3 comparison?

Every figure comes from the sealed ModelCap dataset published 19 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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