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Research/24 Sep 2026 · 7 min read

The long-horizon SOTA is a harness, not a model

JHVRSJ
Jayoo Hwang, Vansh Ramani and Shourya Vir Jain
WorkArena L3 · long-horizon enterprise tasks
89.4%Highest success rate
$0.16Lowest cost per task
37KContext tokens per task
4.5×Fewer context tokens than Codex

Long browser tasks are mostly repetition

A 100-step enterprise workflow often looks like this: log into a portal, open the next claim, copy three fields into a tracker, set a status, and repeat forty times. The difficulty comes from length, not depth. Step forty usually looks like the steps before it.

One loop of a 100-step workflow
Open next claim→Copy 3 fields→Paste in tracker→Set status× 40

Context rot, not model size, breaks the run

Each step adds to the context. Over time, stale pages and dead history pile up, and the model starts to focus on information that no longer matters. We call this context rot. It affects frontier models too.

Ramain keeps late steps as reliable as early steps

Ramain keeps compact summaries of the work so far and compresses history that the task no longer needs. The agent sees what matters for the next step, and nothing more.

Every point on the frontier is a Ramain configuration

We ran the same harness on three models. Each one sets a point on the cost and success frontier, so teams can choose the trade-off they need.

Figure 1 · Success vs cost per taskWorkArena L3
Gemini 3.8 Flash85.9% · $0.16
Fable 5.188.2% · $0.79
GPT-6 Astra89.4% · $1.04
90%88%86%84%
$0$0.30$0.60$0.90$1.20
Context tokens per task · lower is better
Ramain
37K
Codex
165K

Each point is the same Ramain harness on a different model. Ramain used 37,000 context tokens per task, against 165,000 for Codex.

Long-horizon tasksContext managementBenchmarks

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