Head-to-head comparison
Ling-2.6-1T (InclusionAI) and GLM 4.6V (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 17 August 2026
As of 17 August 2026, Ling-2.6-1T holds the stronger ModelCap Index position (#74 vs #77); Ling-2.6-1T is 1.4× cheaper per output token ($0.625/1M vs $0.90/1M); Ling-2.6-1T offers the longer context window (262K vs 131K tokens); and GLM 4.6V ships open weights.
Evidence: 1 public benchmark observation across 1 board · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.
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Ling-2.6-1T ranks higher on the ModelCap Index as of 17 August 2026: #74 against #77. 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.
Ling-2.6-1T is cheaper on output tokens: $0.625/1M against $0.90/1M. Input tokens are $0.075/1M for Ling-2.6-1T and $0.30/1M for GLM 4.6V. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.
Ling-2.6-1T has the larger context window: 262K tokens against 131K.
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.
Ling-2.6-1T: API only. GLM 4.6V: 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.
ModelCap currently lists 1 API provider for Ling-2.6-1T and 2 for GLM 4.6V, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
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.