Skip to content
ModelCap

Head-to-head comparison

Gemini 4 Argon vs GLM 5.3

Gemini 4 Argon (Google) 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 13 October 2026

As of 13 October 2026, GLM 5.3 holds the stronger ModelCap Index position (#18 vs #33); and GLM 5.3 is 2.1× cheaper per output token ($4.80/1M vs $10.00/1M).

Which should you choose?

Choose Gemini 4 Argon if…

  • AA Intelligence Index is your yardstick — 52.6 against 44.8.
  • AA Humanity's Last Exam is your yardstick — 57.1% against 42.3%.
  • you want the more recently listed model — Gemini 4 Argon was listed 13 October 2026, GLM 5.3 18 August 2026.

Choose GLM 5.3 if…

  • you want the stronger overall ModelCap Index position — #18 against #33 (79.7 vs 73.0 points).
  • API cost matters — $4.80/1M output tokens against $10.00/1M, about 2.1× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.079/1M against $2.00/1M.
  • you want provider choice — 33 listed API providers against 2.

Gemini 4 Argon vs GLM 5.3: specs, pricing and context

Specification comparison of Gemini 4 Argon and GLM 5.3
FieldGemini 4 ArgonGoogleGLM 5.3Z.ai
ModelCap Index position#33#18
Index score73.079.7
EvidenceEstimatedMeasured
Input price / 1M tokens$2.00$0.079
Output price / 1M tokens$10.00$4.80
Context window1M tokens1M tokens
Declared route output cap66K944K
API providers listed233
Weight accessNo linked weightsRestricted license
Input modalitiesAudio, File, Image, Text, VideoText
First listed13 October 202618 August 2026
PublisherGoogleZ.ai

Evidence: 1 reported rows against measured corpus ladders (72%); publisher-corpus-prior over 211 held-out anchors (28%); shrunk 3.7 toward the measured corpus · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Gemini 4 Argon vs GLM 5.3

Public benchmark boards where Gemini 4 Argon or GLM 5.3 has a published result
BoardGemini 4 ArgonGLM 5.3Leads
Arena textArena (LMArena)—14781473–1484MaxOnly one result
Arena codingArena (LMArena)—15201511–1529MaxOnly one result
LMArena AgentLMArena—1.8%1.0%–2.6%MaxOnly one result
AA Intelligence IndexArtificial Analysis52.6High44.8MaxGemini 4 Argon
AA Terminal-Bench 2.1Artificial Analysis—83.9%MaxOnly one result
AA Humanity's Last ExamArtificial Analysis57.1%High42.3%MaxGemini 4 Argon
Terminal-Bench 4.0Terminal-Bench (Laude Institute)—41.8%38.6%–45.1%Claude Code · MaxOnly 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.

Gemini 4 Argon vs GLM 5.3: common questions

Is Gemini 4 Argon better than GLM 5.3?

GLM 5.3 ranks higher on the ModelCap Index as of 13 October 2026: #18 against #33. 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. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Gemini 4 Argon cheaper than GLM 5.3?

GLM 5.3 is cheaper on output tokens: $4.80/1M against $10.00/1M. Input tokens are $2.00/1M for Gemini 4 Argon and $0.079/1M for GLM 5.3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for Gemini 4 Argon versus $2.56 for GLM 5.3. GLM 5.3 costs 71.6% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Gemini 4 Argon or GLM 5.3?

Both publish a 1M-token context window. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.

Which is better for coding, Gemini 4 Argon 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 Gemini 4 Argon and GLM 5.3 open-weight models?

Gemini 4 Argon: No linked weights. GLM 5.3: Restricted license. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.

Where can I run Gemini 4 Argon and GLM 5.3?

ModelCap currently lists 2 API providers for Gemini 4 Argon and 33 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 Gemini 4 Argon vs GLM 5.3 comparison?

Every figure and ModelCap Index position comes from the same published snapshot dated 13 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.

Explore further