# Artificial Analysis Intelligence Index

Mistral released Mistral Large 4 as a Research Public Preview, a 1T-parameter model with 49B active parameters whose weights are planned for release at the end of October. It scores 38 on the Artificial Analysis Intelligence Index, comparable to GPT-6 Luna (max, 38) and just below DeepSeek V4.1 Flash (max, 39), making it the highest-scoring model from outside the US and China. The same preview scores 50 on the Cyber Index, level with GLM-5.3-Flash, while costing $1.13 per Intelligence Index task at standard pricing, above similar-intelligence open-weights models.

Mistral released Mistral Large 4 as a Research Public Preview, a 1T-parameter model with 49B active parameters whose weights are planned for release at the end of October. It scores 38 on the Artificial Analysis Intelligence Index, comparable to GPT-6 Luna (max, 38) and just below DeepSeek V4.1 Flash (max, 39), making it the highest-scoring model from outside the US and China. The same preview scores 50 on the Cyber Index, level with GLM-5.3-Flash, while costing $1.13 per Intelligence Index task at standard pricing, above similar-intelligence open-weights models.

Moonshot released the reasoning model Kimi K3.1 Pro, which scores 55 on the Artificial Analysis Intelligence Index and places fourth, 11 points above Kimi K3's maximum of 44. Its largest gains are agentic: 1,846 Elo on GDPval-AA, 312 Elo above Kimi K3, and the highest score of any model on Terminal-Bench 4.0. Its weights are not yet published; Moonshot is expected to release them soon after launch, at which point it would be the highest-scoring open-weights model and the gap to proprietary models on the index would narrow from 12 points to 3.

Moonshot released the reasoning model Kimi K3.1 Pro, which scores 55 on the Artificial Analysis Intelligence Index and places fourth, 11 points above Kimi K3's maximum of 44. Its largest gains are agentic: 1,846 Elo on GDPval-AA, 312 Elo above Kimi K3, and the highest score of any model on Terminal-Bench 4.0. Its weights are not yet published; Moonshot is expected to release them soon after launch, at which point it would be the highest-scoring open-weights model and the gap to proprietary models on the index would narrow from 12 points to 3.

Reflection released Beam, its first model, an open weights system with 501B total and 23B active parameters that scores 30 on the Artificial Analysis Intelligence Index, second among US open weights models behind Meta's Muse Spark Open (39) and ahead of NVIDIA's Nemotron 3.5 Super VL (26). It uses about 26k output tokens per Intelligence Index task, roughly half of K2 Horizon (31), while proprietary models still set the frontier, with GPT-6 Astra (max) scoring 53 on the same budget.

Reflection released Beam, its first model, an open weights system with 501B total and 23B active parameters that scores 30 on the Artificial Analysis Intelligence Index, second among US open weights models behind Meta's Muse Spark Open (39) and ahead of NVIDIA's Nemotron 3.5 Super VL (26). It uses about 26k output tokens per Intelligence Index task, roughly half of K2 Horizon (31), while proprietary models still set the frontier, with GPT-6 Astra (max) scoring 53 on the same budget.