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Head-to-head comparison

Gemini 3.1 Pro Preview vs GLM 5.3 Flash

Gemini 3.1 Pro Preview (Google) 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 24 October 2026

As of 24 October 2026, Gemini 3.1 Pro Preview holds the stronger ModelCap Index position (#14 vs #24); GLM 5.3 Flash is 24× cheaper per output token ($0.50/1M vs $12.00/1M); and GLM 5.3 Flash ships open weights.

Which should you choose?

Choose Gemini 3.1 Pro Preview if…

  • you want the stronger overall ModelCap Index position — #14 against #24 (79.9 vs 77.3 points).
  • Arena text is your yardstick — 1487 against 1476.
  • AA Humanity's Last Exam is your yardstick — 47.0% against 39.9%.

Choose GLM 5.3 Flash if…

  • API cost matters — $0.50/1M output tokens against $12.00/1M, about 24× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.15/1M against $2.00/1M.
  • you want to self-host: GLM 5.3 Flash ships open weights while Gemini 3.1 Pro Preview is no linked weights.
  • you want provider choice — 34 listed API providers against 2.
  • Arena coding is your yardstick — 1525 against 1522.
  • LMArena Agent is your yardstick — -1.8% against -4.4%.
  • AA Intelligence Index is your yardstick — 41.8 against 29.7.
  • AA Terminal-Bench 2.1 is your yardstick — 84.3% against 73.8%.
  • you want the more recently listed model — GLM 5.3 Flash was listed 26 August 2026, Gemini 3.1 Pro Preview 19 February 2026.

Gemini 3.1 Pro Preview vs GLM 5.3 Flash: specs, pricing and context

Specification comparison of Gemini 3.1 Pro Preview and GLM 5.3 Flash
FieldGemini 3.1 Pro PreviewGoogleGLM 5.3 FlashZ.ai
ModelCap Index position#14#24
Index score79.977.3
EvidenceMeasuredMeasured
Input price / 1M tokens$2.00$0.15
Output price / 1M tokens$12.00$0.50
Context window1M tokens1M tokens
Declared route output cap66K944K
API providers listed234
Weight accessNo linked weightsOpen weights
Input modalitiesAudio, File, Image, Text, VideoText, Image, Video
First listed19 February 202626 August 2026
PublisherGoogleZ.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: Gemini 3.1 Pro Preview vs GLM 5.3 Flash

Public benchmark boards where Gemini 3.1 Pro Preview or GLM 5.3 Flash has a published result
BoardGemini 3.1 Pro PreviewGLM 5.3 FlashLeads
Arena textArena (LMArena)14871484–1490Not reported14761471–1481Not reportedGemini 3.1 Pro Preview
Arena codingArena (LMArena)15221517–152615251518–1532GLM 5.3 Flash
LMArena AgentLMArena-4.4%-5.8%–-3.1%-1.8%-2.4%–-1.1%GLM 5.3 Flash
ARC-AGI-2ARC Prize Foundation—65.8%MaxOnly one result
AA Intelligence IndexArtificial Analysis29.7Reasoning41.8ReasoningGLM 5.3 Flash
AA Terminal-Bench 2.1Artificial Analysis73.8%Reasoning84.3%ReasoningGLM 5.3 Flash
AA τ²-Bench TelecomArtificial Analysis95.6%Reasoning—Only one result
AA Humanity's Last ExamArtificial Analysis47.0%Reasoning39.9%ReasoningGemini 3.1 Pro Preview
Terminal-Bench 4.0Terminal-Bench (Laude Institute)—35.8%32.2%–39.3%Claude Code · NoneOnly 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 3.1 Pro Preview vs GLM 5.3 Flash: common questions

Is Gemini 3.1 Pro Preview better than GLM 5.3 Flash?

Gemini 3.1 Pro Preview ranks higher on the ModelCap Index as of 24 October 2026: #14 against #24. 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 3.1 Pro Preview cheaper than GLM 5.3 Flash?

GLM 5.3 Flash is cheaper on output tokens: $0.50/1M against $12.00/1M. Input tokens are $2.00/1M for Gemini 3.1 Pro Preview and $0.15/1M for GLM 5.3 Flash. 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 $10.00 for Gemini 3.1 Pro Preview versus $0.55 for GLM 5.3 Flash. GLM 5.3 Flash costs 94.5% 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 3.1 Pro Preview or GLM 5.3 Flash?

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 3.1 Pro Preview or GLM 5.3 Flash?

Arena coding: Gemini 3.1 Pro Preview 1522, GLM 5.3 Flash 1525 — GLM 5.3 Flash leads. AA Terminal-Bench 2.1: Gemini 3.1 Pro Preview 73.8%, GLM 5.3 Flash 84.3% — GLM 5.3 Flash leads.

Are Gemini 3.1 Pro Preview and GLM 5.3 Flash open-weight models?

Gemini 3.1 Pro Preview: No linked weights. GLM 5.3 Flash: Open weights. 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 3.1 Pro Preview and GLM 5.3 Flash?

ModelCap currently lists 2 API providers for Gemini 3.1 Pro Preview and 34 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 Gemini 3.1 Pro Preview vs GLM 5.3 Flash comparison?

Every figure and ModelCap Index position comes from the same published snapshot dated 24 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.

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