---
id: "nr-together-ai-claims-ttft-lead-for-deepseek-v4-1-944485"
slug: "together-ai-claims-ttft-lead-for-deepseek-v4-1-944485"
title: "Together AI claims TTFT lead for DeepSeek v4.1 Flash"
observed_at: "2026-09-18T13:48:49+00:00"
record_date: "2026-09-18"
date_kind: "observed_at"
novelty: "new"
source_platform: "x.com"
topics: ["inference","latency","agents"]
entities: ["Together AI","DeepSeek v4.1 Flash"]
related_patterns: []
source_url: "https://x.com/togethercompute/status/2100723640752824402"
source_urls: ["https://x.com/togethercompute/status/2100723640752824402"]
basket: {"id":"0325e6b8-f527-4f9b-bfa3-3f30e57f380b","revision":1,"cluster_id":"9444856f-0a55-4cd7-83b4-022333a216e9"}
type: "raw_signal"
description: "Together AI says its serving of DeepSeek v4.1 Flash leads on time to first token for pre-warmed queries in agent workflows."
why_it_matters: "In agent loops, time to first token recurs on every model turn, so the overhead grows with loop length. The post gives no latency figures and does not cover cold queries, concurrency, or tail latency."
verification_level: "source-inspected"
signal_type: "newsroom_basket_signal"
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:together-ai-claims-ttft-lead-for-deepseek-v4-1-944485"
retrieval_nugget: "Together AI says its serving of DeepSeek v4.1 Flash leads on time to first token for pre-warmed queries in agent workflows. Together AI posted that DeepSeek v4.1 Flash on its platform leads on time to first token for pre-warmed queries in agent workflows. The company says it has been working on its serving path to keep that startup overhead low,"
status: "published"
visuals: []
routes: {"html":"https://newruntime.com/signals/together-ai-claims-ttft-lead-for-deepseek-v4-1-944485/","markdown":"https://newruntime.com/signals/together-ai-claims-ttft-lead-for-deepseek-v4-1-944485.md","json":"https://newruntime.com/signals/together-ai-claims-ttft-lead-for-deepseek-v4-1-944485.json"}
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"]}
---

# Together AI claims TTFT lead for DeepSeek v4.1 Flash

## Retrieval answer

Together AI says its serving of DeepSeek v4.1 Flash leads on time to first token for pre-warmed queries in agent workflows. Together AI posted that DeepSeek v4.1 Flash on its platform leads on time to first token for pre-warmed queries in agent workflows. The company says it has been working on its serving path to keep that startup overhead low,

Together AI posted that DeepSeek v4.1 Flash on its platform leads on time to first token for pre-warmed queries in agent workflows. The company says it has been working on its serving path to keep that startup overhead low, citing a user's comparison across providers.

In agent loops, time to first token recurs on every model turn, so the overhead grows with loop length. The post gives no latency figures and does not cover cold queries, concurrency, or tail latency.

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

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