# Nvidia's SoL-Pi cuts coding agent token usage by nearly half

Digest AI · Agents & Tools · published 2026-09-26T10:30:32Z

Canonical: https://digestai.news/story/nvidia-s-sol-pi-cuts-coding-agent-token-usage-by-nearly-half

## Summary

Nvidia researchers released a paper describing SoL‑Pi, a system that automatically optimizes the harness of coding agents. The harness sits between a model and its environment and controls how an agent sees states, runs actions, and processes feedback. According to the researchers, SoL‑Pi cuts token usage by almost half while keeping performance roughly the same.

The study explored 152 directions across 535 executable environments, including 495 tasks from GitHub issue‑pull‑request pairs and 40 synthetic test cases. It generated more than 3,000 runs and over 60,000 agent‑environment interactions. Four mechanisms—Action Fusion, Online Context Compact, ObservationPack, and Evidence‑Preserving Reducer—each reduce token usage by merging steps, trimming context, summarizing outputs, or routing logs to cheaper models.

On EdgeBench’s 51 public tasks, the most efficient variant of SoL‑Pi used 49 percent fewer tokens and achieved 93.7 percent of Pi harness score. Users prioritizing performance can beat Pi’s score by 5.3 percent while still saving tokens. In dollar terms, the researchers estimate savings of $8.75 to $13.50 per hour versus native Codex and Claude Code harnesses, and $4.36 to $5.71 per hour versus Pi.

## Key points

- SoL‑Pi reduces coding agent token usage by 49 percent while maintaining 93.7 percent of Pi harness score.
- The system explored 152 directions across 535 environments, generating over 60,000 agent‑environment interactions.
- Four mechanisms—Action Fusion, Online Context Compact, ObservationPack, Evidence‑Preserving Reducer—each cut token usage by merging steps, trimming context, summarizing outputs, or routing logs to cheaper models.

## Why it matters

Optimizing agent harnesses can cut token costs for developers and businesses that rely on expensive API calls. By reducing token usage, SoL‑Pi could lower operational expenses and improve the scalability of coding agents across platforms like Codex, Claude Code, and OpenClaw.

## Sources

1. [Nvidia's SoL-Pi system cuts coding agent token usage nearly in half by optimizing the harness](https://the-decoder.com/nvidias-sol-pi-system-cuts-coding-agent-token-usage-nearly-in-half-by-optimizing-the-harness) (The Decoder, 2026-09-26)

Part of the developing story: [Nvidia SoL-Pi Revolution Cuts Coding Agent Token Usage](https://digestai.news/thread/nvidia-releases-sol-pi-cutting-coding-agent-token-traffic-by-up-to-49) (2 stories)

## Cite

Digest AI, "Nvidia's SoL-Pi cuts coding agent token usage by nearly half", 26 September 2026, https://digestai.news/story/nvidia-s-sol-pi-cuts-coding-agent-token-usage-by-nearly-half

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