BlogLLM Benchmark Scores as Published, Side by Side

Muse Spark 1.3: Benchmark Scores as Published

Every result the catalog holds for Muse Spark 1.3: 2 tests in 2 areas, from 3 pages. Each was printed by the company named beside it. Each number is as printed; nothing is ranked or rescored.

Developer MetaContext window 1.05MInput Text, image, video, audio, PDFOutput TextWeights ClosedData version 2026103001, as of 2026-10-30

Cybersecurity

TestValuePrinted bySetup as printed
CWE-bench v155%Google, Gemini 4 Carbon: our next frontier modelchecked 2026-10-29Harness: opencode

Safety and Alignment

TestValuePrinted bySetup as printed
Gray Swan IPI (attack success rate after k attempts)attack success rate after k attempts, lower is better15.9%Google, Gemini 4 Argon Safety and Security Reportchecked 2026-10-19; printed on 1 more page-

Price

API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked.

PriceValuePrinted bySetup as printed
Input$1.25Meta, Meta Model API pricingchecked 2026-10-19-
Cached input$0.15Meta, Meta Model API pricingchecked 2026-10-19-
Output$4.25Meta, Meta Model API pricingchecked 2026-10-19-
Input, contributor$0.1Meta, Meta Model API pricingchecked 2026-10-19-
Cached input, contributor$0.002Meta, Meta Model API pricingchecked 2026-10-19-
Output, contributor$0.2Meta, Meta Model API pricingchecked 2026-10-19-

More from Meta

Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.