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ModelCap

Head-to-head comparison

Grok 4.6 vs GLM 5.3

Grok 4.6 (xAI) 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 #11); GLM 5.3 is 1.4× cheaper per output token ($4.40/1M vs $6.00/1M); and GLM 5.3 offers the longer context window (1M vs 500K tokens).

Which should you choose?

Choose Grok 4.6 if…

  • Artificial Analysis Intelligence Index is your yardstick — 60.9 against 59.5.

Choose GLM 5.3 if…

  • you want the stronger overall ModelCap Index position — #7 against #11 (78.4 vs 74.7 points).
  • API cost matters — $4.40/1M output tokens against $6.00/1M, about 1.4× cheaper.
  • your workload is prompt-heavy — input tokens cost $1.40/1M against $2.00/1M.
  • you need the longer context window — 1M tokens against 500K.
  • you want the more recently listed model — GLM 5.3 was listed 18 August 2026, Grok 4.6 12 August 2026.

Grok 4.6 vs GLM 5.3: specs, pricing and context

Specification comparison of Grok 4.6 and GLM 5.3
FieldGrok 4.6xAIGLM 5.3Z.ai
ModelCap Index position#11#7
Index score74.778.4
EvidenceMeasuredMeasured
Input price / 1M tokens$2.00$1.40
Output price / 1M tokens$6.00$4.40
Context window500K tokens1M tokens
Max output tokens131K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesText, Image, FileText
First listed12 August 202618 August 2026
PublisherxAIZ.ai

Evidence: 5 public benchmark observations across 5 boards · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Grok 4.6 vs GLM 5.3

Public benchmark boards where Grok 4.6 or GLM 5.3 has a published result
BoardGrok 4.6GLM 5.3Leads
Arena codingArena (LMArena)15121485–1538HighOnly one result
ARC-AGI-2ARC Prize Foundation67.1%X-HighOnly one result
ARC-AGI-3ARC Prize Foundation2.1%X-HighOnly one result
Artificial Analysis Intelligence IndexArtificial Analysis60.9intelligence-index59.5intelligence-indexGrok 4.6

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.

Grok 4.6 vs GLM 5.3: common questions

Is Grok 4.6 better than GLM 5.3?

GLM 5.3 ranks higher on the ModelCap Index as of 19 August 2026: #7 against #11. 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 Grok 4.6 cheaper than GLM 5.3?

GLM 5.3 is cheaper on output tokens: $4.40/1M against $6.00/1M. Input tokens are $2.00/1M for Grok 4.6 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, Grok 4.6 or GLM 5.3?

GLM 5.3 has the larger context window: 1M tokens against 500K.

Which is better for coding, Grok 4.6 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 Grok 4.6 and GLM 5.3 open-weight models?

Grok 4.6: API only. 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 Grok 4.6 and GLM 5.3?

ModelCap currently lists 1 API provider for Grok 4.6 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 Grok 4.6 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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