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Models

Every model our stories named. Each number links to its story and source. A dot means not checked yet.

ModelMakerLatestPer million tokens, in / outContext Maker's own benchmarksMeasured by others
Muse Meta 30 Oct not checked yet not checked yet not checked yet not checked yet
muse-spark-open Meta 16 Oct not checked yet 1,000,000 tokens MCP-Atlas (Meta's model card, xhigh) 89.2% · Terminal-Bench 2.1 (Meta's model card, xhigh) 76.4% · Artificial Analysis Intelligence Index (Meta's model card, xhigh) 39% not checked yet
Muse Wonder Meta 13 Oct not checked yet not checked yet not checked yet not checked yet
Muse Spark 1.3 Meta not checked yet not checked yet not checked yet CheatBench cheating rate with Muse Code (lower is better) 39%

Maker's own: what a company measured on its own model, from its model card, system card or announcement. A claim about its own product, and labelled so.

Measured by others: a safety institute, a research group or a public benchmark run by someone other than the maker.

Prices for prompts over 100,000 tokens where a model has two tiers. Benchmarks come from each release's own documents, collected by the registrar.

Models

Every model our stories named. Each number links to its story and source. A dot means not checked yet.

All makers AlibabaAnthropicCanvaCloudflareElevenLabsGoogleH2O.aiLiquid AIMetaMicrosoftMicrosoft AIMiniMaxMistralMoonshot AINvidiaOpenAIReflection AISpaceXSIZ.ai

ModelMakerLatest in our stories Price per million tokens, in / outContext windowIndependent test results
Muse Meta 30 Oct · · ·
muse-spark-open Meta 16 Oct · 1,000,000 tokens ·
Muse Wonder Meta 13 Oct · · ·
Muse Spark 1.3 Meta · · CheatBench cheating rate with Muse Code (lower is better) 39%