SlackBench - CLI - Overall: leaderboard

Agents answer questions across realistic Slack workplace reenactments and associated evolving code repositories. Mean category pass score (%). SlackBench140tasks:58AgenticSearch,48Hallucination,14Summarization,20CircumstanceInference; three runs,20min/query; GPT-5.4 judge. Summarization earns checklist partial credit, other categories binary pass; Overall is the unweighted category mean. Harness, MCP/CLI access and reasoning effort remain separate in row identities. Native first-party model APIs.

Metric: Mean category pass score (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 7 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.5 (Benchmark Sweep Run: source=SlackBench; harness=Claude Code; access=CLI; effort=medium)73.68
2GPT-5.5 (Benchmark Sweep Run: source=SlackBench; harness=Codex CLI; access=CLI; effort=medium)59.9
3Claude Opus 4.7 (Benchmark Sweep Run: source=SlackBench; harness=Claude Code; access=CLI; effort=medium)59.63
4Claude Sonnet 4.6 (Benchmark Sweep Run: source=SlackBench; harness=Claude Code; access=CLI; effort=medium)54.78
5Gemini 3.1 Pro (Preview) (Benchmark Sweep Run: source=SlackBench; harness=Gemini CLI; access=CLI; effort=medium)54.31
6GPT-5.4 Mini (Benchmark Sweep Run: source=SlackBench; harness=Codex CLI; access=CLI; effort=medium)43.12
7Gemini 3 Flash (Preview) (Benchmark Sweep Run: source=SlackBench; harness=Gemini CLI; access=CLI; effort=medium)34.55

Interactive version: theaggregate.ai/benchmark?slug=slackbench-cli-overall · How It Works · Data refreshed daily, snapshot 2026-11-06.