Interactive guide
The Intelligence Stack
This guide follows AI from chatbots through tool use and agents to orchestration across applications. The model layer changes quickly, while tools, memory, verification and workflow design determine what a system can actually finish.
The current comparison
Checked 2026-10-14. AA Intelligence Index v4.3.2: MiMo-V2.6-Pro scores 46.3, versus Claude Opus 5.5 at 57.6. The general reasoning gap is 11.3 points within the reviewed cohort. AA Coding Agent Index v1.5: GLM-5.3 scores 53.6, versus Claude Sonnet 5.5 at 68.4. The coding systems gap is 14.8 points within the reviewed cohort. AutomationBench-AA v1.0.6 objective score: GLM-5.3 scores 62.2, versus GPT-6 Astra at 68.5. The workflow automation gap is 6.3 percentage points within the reviewed cohort.
Benchmark methodology, current general results and coding harness results identify the evidence behind this snapshot. Each number measures a specific model/configuration within its benchmark. Calculations use unrounded values. The reviewed cohort is a subset of the publisher’s results, not a claim to cover every model or self-hosted setup.
What changed in this sweep
This sweep includes Muse Spark 1.3, GPT-6 Luna, GPT-6.1 Sol, Claude Sonnet 5.5, Gemini 4 Argon, Claude Haiku 5.5, Mistral Large 4, Reflection Beam, Kolibri-1, Muse Wonder, Muse Wonder Full, GPT Image 2.5 Sunburst, GPT Image 2.5 Flare, Nano Banana 2.1, Qwen Image 2.1 Turbo, Nemotron 3.5 Lightning, Hy4 Preview. Hosted access, downloadable weights and restricted previews remain separate. Read the sourced release catalogue.
How to read the numbers
General reasoning uses Intelligence Index v4.3.2. Coding uses Coding Agent Index v1.5 with the named harness and effort; one explicit configuration per model is retained and excluded alternatives are recorded. Workflow automation retains the September 7 AutomationBench-AA v1.0.6 objective dataset, re-fetched October 14, not a new evaluation of October releases. Objective completion is not whole-workflow success. Compare only within a domain and benchmark version. Hosted results do not guarantee identical self-hosted performance. Scores retain source precision and display one decimal. The October 14 capture reads the publisher’s server-rendered tables: 27 general models and 39 coding configurations, including explicit exclusions. Coverage is a reviewed subset, not the full landscape. Earlier snapshots stay frozen. Missing scores remain absent. Argon and Spark max now have verified ordinary hosted access; Mythos, Flash Cyber and Beam remain restricted. Pending Mistral and Beam weights cannot set the downloadable floor.
The floor means downloadable capability, not a promise that the model will fit on a laptop or that its licence is unrestricted. Restricted-access models, including Mythos and Reflection Beam, are excluded from the ordinary proprietary ceiling. Missing comparable scores remain unscored.