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stable_id: "post:gpt-5-6-sol-ultrafast-opens-a-latency-sensitive-agent-lane"
slug: "gpt-5-6-sol-ultrafast-opens-a-latency-sensitive-agent-lane"
title: "GPT-5.6 Sol Ultrafast Opens a Latency-Sensitive Agent Lane"
description: "OpenAI and Cerebras added an ultrafast GPT-5.6 Sol route that Cerebras says can reach up to 750 output tokens per second."
retrieval_nugget: "Throughput matters when an agent repeatedly plans, calls tools, inspects results, and replans. The relevant test is end-to-end task latency and cost under a real harness, not the provider's peak token rate in isolation."
published_at: "2026-08-14"
updated_at: "2026-08-15"
record_date: "2026-08-14"
date_kind: "discovered_at"
topics: ["openai","inference","coding-agents"]
entities: ["OpenAI","Cerebras","GPT-5.6 Sol"]
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# GPT-5.6 Sol Ultrafast Opens a Latency-Sensitive Agent Lane

## Retrieval answer

Throughput matters when an agent repeatedly plans, calls tools, inspects results, and replans. The relevant test is end-to-end task latency and cost under a real harness, not the provider's peak token rate in isolation.

OpenAI and Cerebras added an ultrafast GPT-5.6 Sol route that Cerebras says can reach up to 750 output tokens per second.

New Runtime reading: Throughput matters when an agent repeatedly plans, calls tools, inspects results, and replans. The relevant test is end-to-end task latency and cost under a real harness, not the provider's peak token rate in isolation.

Evidence boundary: this item uses the listed public sources and keeps vendor, author, or reporter claims attributed. The queued page is an editorial synthesis, not an independent validation of every reported metric.
