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ModelCap

Head-to-head comparison

AutoGLM Phone 9B Multilingual vs GLM 4.6V Flash

AutoGLM Phone 9B Multilingual (Zai Org) and GLM 4.6V Flash (Zai Org) 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 17 August 2026

As of 17 August 2026, AutoGLM Phone 9B Multilingual holds the stronger ModelCap Index position (#165 vs #167); and GLM 4.6V Flash offers the longer context window (131K vs 66K tokens).

Which should you choose?

Choose AutoGLM Phone 9B Multilingual if…

  • you want the stronger overall ModelCap Index position — #165 against #167 (22.5 vs 22.5 points).
  • you want the more recently listed model — AutoGLM Phone 9B Multilingual was listed 9 December 2025, GLM 4.6V Flash 7 December 2025.

Choose GLM 4.6V Flash if…

  • you need the longer context window — 131K tokens against 66K.

AutoGLM Phone 9B Multilingual vs GLM 4.6V Flash: specs, pricing and context

Specification comparison of AutoGLM Phone 9B Multilingual and GLM 4.6V Flash
FieldAutoGLM Phone 9B MultilingualZai OrgGLM 4.6V FlashZai Org
ModelCap Index position#165#167
Index score22.522.5
EvidenceEstimatedEstimated
Input price / 1M tokensUnlistedUnlisted
Output price / 1M tokensUnlistedUnlisted
Context window66K tokens131K tokens
Max output tokens——
API providers listed00
Weight accessOpen weightsOpen weights
Input modalitiesText, ImageText, Image
First listed9 December 20257 December 2025
PublisherZai OrgZai Org

Evidence: global corpus prior · leave-one-anchor-out calibrated · global corpus prior · leave-one-anchor-out calibrated. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: AutoGLM Phone 9B Multilingual vs GLM 4.6V Flash

Neither model has a published result on a public benchmark board ModelCap tracks yet.

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.

AutoGLM Phone 9B Multilingual vs GLM 4.6V Flash: common questions

Is AutoGLM Phone 9B Multilingual better than GLM 4.6V Flash?

AutoGLM Phone 9B Multilingual ranks higher on the ModelCap Index as of 17 August 2026: #165 against #167. 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 AutoGLM Phone 9B Multilingual cheaper than GLM 4.6V Flash?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, AutoGLM Phone 9B Multilingual or GLM 4.6V Flash?

GLM 4.6V Flash has the larger context window: 131K tokens against 66K.

Which is better for coding, AutoGLM Phone 9B Multilingual or GLM 4.6V 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 AutoGLM Phone 9B Multilingual and GLM 4.6V Flash open-weight models?

AutoGLM Phone 9B Multilingual: Open weights. GLM 4.6V 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 AutoGLM Phone 9B Multilingual and GLM 4.6V Flash?

ModelCap currently lists 0 API providers for AutoGLM Phone 9B Multilingual and 0 for GLM 4.6V Flash, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this AutoGLM Phone 9B Multilingual vs GLM 4.6V Flash comparison?

Every figure comes from the sealed ModelCap dataset published 17 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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