---
type: "raw_signal"
id: "artificial-analysis-launched-a-leaderboard-for-cognition-s-8070a5"
slug: "artificial-analysis-launched-a-leaderboard-for-cognition-s-8070a5"
title: "Artificial Analysis launched a leaderboard for Cognition's FrontierCode 1.1 benchmark."
description: "Artificial Analysis has published a leaderboard for FrontierCode 1.1, Cognition’s private agentic coding benchmark."
retrieval_nugget: "Artificial Analysis has published a leaderboard for FrontierCode 1.1, Cognition’s private agentic coding benchmark."
observed_at: "2026-10-12"
record_date: "2026-10-12"
date_kind: "observed_at"
why_it_matters: "Source: https://artificialanalysis.ai/evaluations/frontiercode"
novelty: "notable"
verification_level: "source-linked"
signal_type: "announcement"
source_platform: "artificialanalysis.ai"
topics: ["claude"]
entities: ["Artificial Analysis","Cognition","FrontierCode 1.1","Claude Opus 5.5","GPT-6.1 Sol","Claude Fable 5.1","Stirrup"]
related_patterns: []
source_url: "https://artificialanalysis.ai/evaluations/frontiercode"
source_urls: ["https://artificialanalysis.ai/evaluations/frontiercode"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:artificial-analysis-launched-a-leaderboard-for-cognition-s-8070a5"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/artificial-analysis-launched-a-leaderboard-for-cognition-s-8070a5/","markdown":"https://newruntime.com/signals/artificial-analysis-launched-a-leaderboard-for-cognition-s-8070a5.md","json":"https://newruntime.com/signals/artificial-analysis-launched-a-leaderboard-for-cognition-s-8070a5.json"}
---

# Artificial Analysis launched a leaderboard for Cognition's FrontierCode 1.1 benchmark.

## Retrieval answer

Artificial Analysis has published a leaderboard for FrontierCode 1.1, Cognition’s private agentic coding benchmark.

Artificial Analysis has published a leaderboard for FrontierCode 1.1, Cognition’s private agentic coding benchmark. Its implementation runs the primary 100-task set from a 150-task benchmark, with each task attempted three times through Artificial Analysis’ Stirrup harness, capped at 250 turns. The verifier checks classical tests, command checks, reverse-classical tests, adaptive tests, scope, and an LLM prompt review; a failure on any blocking check, or a trajectory flagged for solution lookup, scores zero.

The leaderboard covers 22 models. Claude Opus 5.5 (max with fallback) leads at 52.2%, followed by GPT-6.1 Sol (max) at 49.1% and Claude Fable 5.1 (max with fallback) at 49.0%. Artificial Analysis also reports average evaluation cost per task. The results are specific to this benchmark implementation, harness, and scoring setup; they do not establish a universal ranking of coding agents.

Source: https://artificialanalysis.ai/evaluations/frontiercode

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Claude](https://newruntime.com/topics/claude.md): Explore the claude topic hub.
- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)