Artificial Analysis publishes cost per task for GLM-5.3 (max) across providers
Overview
Artificial Analysis publishes cost per task by provider for GLM-5.3 (max), with a comparison hosted on its site.
The site reports costs from $0.92 on Makora to $8.68 on Nebius, a roughly 9x spread that the firm attributes mainly to differences in cached input pricing. It also reports cache hit rates ranging from 41% to 100% across 21 providers and 25 endpoints.
Cost per task is calculated from each provider's input, output, cache hit and cache write prices, applied at its measured cache hit rate. Cache hit rate is the share of cacheable input tokens served from cache.
Written by AI from the articles below · updated Oct 13, 3:30 PM ET
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Developments
2 developments
- Oct 13, 3:17 PM ET · 1 articleArtificial Analysis links cost-per-task comparison for GLM-5.3 (max) providersArtificial Analysis: Artificial Analysis publishes cost per task for GLM-5.3 (max) providers
- Oct 13, 3:17 PM ET · 1 articleArtificial Analysis publishes cache hit rates and Cost per Task by provider for open weights modelsArtificial Analysis: Artificial Analysis shows GLM-5.3 cost per task varies 9x across providers
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Artificial Analysis@ArtificialAnlysOfficialArtificial Analysis publishes cost per task for GLM-5.3 (max) providersAIArtificial Analysis links to a comparison of cost per task across all GLM-5.3 (max) providers. The post contains no figures, and the comparison is hosted on the Artificial Analysis site.
Artificial Analysis@ArtificialAnlysOfficialArtificial Analysis shows GLM-5.3 cost per task varies 9x across providersAIArtificial Analysis now publishes cache hit rates and cost per task by provider for open-weights models. It reports GLM-5.3 (max) costs from $0.92 on Makora to $8.68 on Nebius, mainly because of differences in cached input pricing. Cache hit rates range from 41% to 100% across 21 providers and 25 endpoints.

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