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Head-to-head comparison

GPT-6 Luna vs GLM 5.3 Flash

GPT-6 Luna (OpenAI) and GLM 5.3 Flash (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 22 September 2026

As of 22 September 2026, GLM 5.3 Flash holds the stronger ModelCap Index position (#14 vs #25); GLM 5.3 Flash offers the longer context window (1.3M vs 1M tokens); and GLM 5.3 Flash ships open weights.

Which should you choose?

Choose GPT-6 Luna if…

  • your workload is prompt-heavy — input tokens cost $0.10/1M against $0.15/1M.
  • you want the more recently listed model — GPT-6 Luna was listed 22 September 2026, GLM 5.3 Flash 26 August 2026.

Choose GLM 5.3 Flash if…

  • you want the stronger overall ModelCap Index position — #14 against #25 (81.9 vs 78.6 points).
  • you need the longer context window — 1.3M tokens against 1M.
  • you want to self-host: GLM 5.3 Flash ships open weights while GPT-6 Luna is api only.
  • you want provider choice — 30 listed API providers against 2.
  • AA Intelligence Index is your yardstick — 41.8 against 37.3.
  • AA Humanity's Last Exam is your yardstick — 39.9% against 38.5%.

GPT-6 Luna vs GLM 5.3 Flash: specs, pricing and context

Specification comparison of GPT-6 Luna and GLM 5.3 Flash
FieldGPT-6 LunaOpenAIGLM 5.3 FlashZ.ai
ModelCap Index position#25#14
Index score78.681.9
EvidenceMeasuredMeasured
Input price / 1M tokens$0.10$0.15
Output price / 1M tokens$0.50$0.50
Context window1M tokens1.3M tokens
Max output tokens128K944K
API providers listed230
Weight accessAPI onlyOpen weights
Input modalitiesFile, Image, TextText, Image, Video
First listed22 September 202626 August 2026
PublisherOpenAIZ.ai

Evidence: 3 public benchmark observations across 3 boards · 4 public benchmark observations across 4 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-6 Luna vs GLM 5.3 Flash

Public benchmark boards where GPT-6 Luna or GLM 5.3 Flash has a published result
BoardGPT-6 LunaGLM 5.3 FlashLeads
Arena codingArena (LMArena)15251513–1537Only one result
LMArena AgentLMArena1.1%0.5%–1.8%Only one result
ARC-AGI-2ARC Prize Foundation59.3%MaxOnly one result
ARC-AGI-3ARC Prize Foundation0.2%MediumOnly one result
AA Intelligence IndexArtificial Analysis37.3intelligence-index:v4.3:max41.8intelligence-index:v4.3:reasoning-unspecifiedGLM 5.3 Flash
AA Humanity's Last ExamArtificial Analysis38.5%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GPT-6 Luna (max)":reasoning=true39.9%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GLM 5.3 Flash":reasoning=trueGLM 5.3 Flash

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.

GPT-6 Luna vs GLM 5.3 Flash: common questions

Is GPT-6 Luna better than GLM 5.3 Flash?

GLM 5.3 Flash ranks higher on the ModelCap Index as of 22 September 2026: #14 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. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is GPT-6 Luna cheaper than GLM 5.3 Flash?

Both list the same output price, $0.50/1M tokens, with input at $0.10/1M and $0.15/1M respectively. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.45 for GPT-6 Luna versus $0.55 for GLM 5.3 Flash. GPT-6 Luna costs 18.2% 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, GPT-6 Luna or GLM 5.3 Flash?

GLM 5.3 Flash has the larger context window: 1.3M tokens against 1M.

Which is better for coding, GPT-6 Luna or GLM 5.3 Flash?

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 GPT-6 Luna and GLM 5.3 Flash open-weight models?

GPT-6 Luna: API only. GLM 5.3 Flash: Open weights. 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 GPT-6 Luna and GLM 5.3 Flash?

ModelCap currently lists 2 API providers for GPT-6 Luna and 30 for GLM 5.3 Flash, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-6 Luna vs GLM 5.3 Flash comparison?

Every figure comes from the sealed ModelCap dataset published 22 September 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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