You can now easily compare the intelligence, cost, and speed on different effort levels for your preferred models with the new Artificial Analysis Model Release pages How a model performs across intelligence and cost is heavily influenced by its configured reasoning and effort level. Frontier models are now being released with up to six different effort levels, meaning the same model weights can produce significantly different performance and cost profiles. Model Release pages make it easy to compare these configurations across all of our standard charts in one place Each release page features: ➤ Intelligence, cost per task, output speed, and latency across every effort variant ➤ Side by side comparison of effort levels against those of similar models ➤ Artificial Analysis Capability Index scores on each effort level across Finance & Accounting, Legal, Healthcare & Medical, Strategy & Ops, Engineering, and Economics For example, on Intelligence vs Time per Task, GPT-6 Astra ranges from 46–53 on the Artificial Analysis Intelligence Index and 1.6–8.2 minutes per task, while Claude Fable 5.1 spans a similar intelligence range (47–53) on a wider time per task range (4.2–12.2…

Reasoning effort settings swing a model's cost and quality dramatically, so seeing intelligence-vs-cost-vs-latency across every effort tier side by side helps you pick the right configuration instead of guessing.
“Frontier models are now being released with up to six different effort levels, meaning the same model weights can produce significantly different performance and cost profiles.”
postMeta has released Muse Spark 1.3, their fourth Muse Spark model release in five…
postMuse Spark 1.3 scores 64 on coding tasks at a fifth of Opus 5's cost per taskChecking sign-in…
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