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ModelCap

Head-to-head comparison

Qwen3.7 Plus vs GLM 5.3

Qwen3.7 Plus (Qwen) 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 2 October 2026

As of 2 October 2026, GLM 5.3 holds the stronger ModelCap Index position (#11 vs #30); and Qwen3.7 Plus is 3.4× cheaper per output token ($1.28/1M vs $4.40/1M).

Which should you choose?

Choose Qwen3.7 Plus if…

  • API cost matters — $1.28/1M output tokens against $4.40/1M, about 3.4× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.32/1M against $1.40/1M.

Choose GLM 5.3 if…

  • you want the stronger overall ModelCap Index position — #11 against #30 (80.0 vs 71.0 points).
  • you want provider choice — 32 listed API providers against 1.
  • Arena text is your yardstick — 1479 against 1456.
  • Arena coding is your yardstick — 1521 against 1501.
  • LMArena Agent is your yardstick — 2.6% against -7.3%.
  • AA Intelligence Index is your yardstick — 44.8 against 25.2.
  • AA Terminal-Bench 2.1 is your yardstick — 83.9% against 61.0%.
  • AA Humanity's Last Exam is your yardstick — 42.3% against 35.6%.
  • you want the more recently listed model — GLM 5.3 was listed 18 August 2026, Qwen3.7 Plus 3 June 2026.

Qwen3.7 Plus vs GLM 5.3: specs, pricing and context

Specification comparison of Qwen3.7 Plus and GLM 5.3
FieldQwen3.7 PlusQwenGLM 5.3Z.ai
ModelCap Index position#30#11
Index score71.080.0
EvidenceMeasuredMeasured
Input price / 1M tokens$0.32$1.40
Output price / 1M tokens$1.28$4.40
Context window1M tokens1M tokens
Declared route output cap131K131K
API providers listed132
Weight accessNo linked weightsRestricted license
Input modalitiesText, ImageText
First listed3 June 202618 August 2026
PublisherQwenZ.ai

Evidence: 4 public benchmark observations across 4 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: Qwen3.7 Plus vs GLM 5.3

Public benchmark boards where Qwen3.7 Plus or GLM 5.3 has a published result
BoardQwen3.7 PlusGLM 5.3Leads
Arena textArena (LMArena)14561452–1460Not reported14791474–1485MaxGLM 5.3
Arena codingArena (LMArena)15011494–150715211512–1531MaxGLM 5.3
LMArena AgentLMArena-7.3%-8.7%–-5.8%2.6%1.9%–3.3%MaxGLM 5.3
AA Intelligence IndexArtificial Analysis25.2Reasoning44.8MaxGLM 5.3
AA Terminal-Bench 2.1Artificial Analysis61.0%Reasoning83.9%MaxGLM 5.3
AA τ²-Bench TelecomArtificial Analysis93.0%Reasoning—Only one result
AA Humanity's Last ExamArtificial Analysis35.6%Reasoning42.3%MaxGLM 5.3
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.

Qwen3.7 Plus vs GLM 5.3: common questions

Is Qwen3.7 Plus better than GLM 5.3?

GLM 5.3 ranks higher on the ModelCap Index as of 2 October 2026: #11 against #30. 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 Qwen3.7 Plus cheaper than GLM 5.3?

Qwen3.7 Plus is cheaper on output tokens: $1.28/1M against $4.40/1M. Input tokens are $0.32/1M for Qwen3.7 Plus and $1.40/1M 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 $1.28 for Qwen3.7 Plus versus $5.00 for GLM 5.3. Qwen3.7 Plus costs 74.4% 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, Qwen3.7 Plus 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, Qwen3.7 Plus or GLM 5.3?

Arena coding: Qwen3.7 Plus 1501, GLM 5.3 1521 — GLM 5.3 leads. AA Terminal-Bench 2.1: Qwen3.7 Plus 61.0%, GLM 5.3 83.9% — GLM 5.3 leads.

Are Qwen3.7 Plus and GLM 5.3 open-weight models?

Qwen3.7 Plus: 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 Qwen3.7 Plus and GLM 5.3?

ModelCap currently lists 1 API provider for Qwen3.7 Plus and 32 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 Qwen3.7 Plus vs GLM 5.3 comparison?

Every figure and ModelCap Index position comes from the same published snapshot dated 2 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.

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