LongCat-2.5 vs Palmyra X6

Meituan · China  |  Writer · US · Updated June 2026

Quick verdict

Pick LongCat-2.5 for native multimodal upgrade to longcat-2.0 - 1.6t total parameters, about 48b active per token or limited-time api price of $0.30/$1.20 per million tokens (cached input $0.006). Pick Palmyra X6 for enterprise agentic workflows - built specifically for marketing/revenue teams running multi-step agents or writer says its harness upgrades cut agent-workflow token costs by roughly 52% and improve speed by roughly 48% (writer's own figures). On a tight budget at scale, Palmyra X6 is the value pick.

LongCat-2.5 (Meituan, China) and Palmyra X6 (Writer, US) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. LongCat-2.5 is meituan's November 2, 2026 natively multimodal successor to LongCat-2.0 - 1.6T parameters and 1M context at $0.30/$1.20, with open weights planned but undated. Palmyra X6 is writer's enterprise agentic flagship - a GLM-5.2-based model with harness upgrades Writer says cut agent token costs by roughly half. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecLongCat-2.5Palmyra X6
ProviderMeituan (China) Writer (US)
ReleasedNovember 2, 2026 August 13, 2026
Context window1M tokens (~1,500 pages) 128K (~192 pages)
Price (in/out)$0.3/$1.2 per 1M tokens Not published
Open weight?No — API only No — API only
Modalitiestext, image, code text, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Native multimodal upgrade to LongCat-2.0 - 1.6T total parameters, about 48B active per token

LongCat-2.5

Its 1M tokens window holds about 7.8× more than Palmyra X6's 128K in a single prompt.

Limited-time API price of $0.30/$1.20 per million tokens (cached input $0.006)

LongCat-2.5

Palmyra X6 is comparatively weak here — no public per-token API price - sold through Writer's enterprise platform, not a self-serve API

Meituan-reported Terminal-Bench v2.1 of 88.4, up from 70.8 for LongCat-2.0

LongCat-2.5

Palmyra X6 is comparatively weak here — not independently benchmarked on general leaderboards like SWE-bench or Artificial Analysis

Enterprise agentic workflows - built specifically for marketing/revenue teams running multi-step agents

Palmyra X6

Palmyra X6 lists enterprise agentic workflows - built specifically for marketing/revenue teams running multi-step agents among its strengths; LongCat-2.5 does not.

Writer says its harness upgrades cut agent-workflow token costs by roughly 52% and improve speed by roughly 48% (Writer's own figures)

Palmyra X6

Palmyra X6 lists writer says its harness upgrades cut agent-workflow token costs by roughly 52% and improve speed by roughly 48% (Writer's own figures) among its strengths; LongCat-2.5 does not.

A post-trained variant built on Z.ai's open-weight GLM-5.2, tuned specifically for business agent use

Palmyra X6

Palmyra X6 lists a post-trained variant built on Z.ai's open-weight GLM-5.2, tuned specifically for business agent use among its strengths; LongCat-2.5 does not.

Lowest cost at scale

Palmyra X6

Its weights are open, so at volume you pay for your own hardware instead of LongCat-2.5's $0.3/$1.2 per 1M tokens.

Largest single-prompt input

LongCat-2.5

Its 1M tokens window is about 7.8× larger than Palmyra X6's 128K, fitting roughly 1,500 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

→ Palmyra X6

At Not published it undercuts LongCat-2.5, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ LongCat-2.5

Larger 1M tokens window fits more in one prompt.

Anyone whose priority is native multimodal upgrade to longcat-2.0 - 1.6t total parameters, about 48b active per token

→ LongCat-2.5

It is specifically built for that.

Anyone whose priority is enterprise agentic workflows - built specifically for marketing/revenue teams running multi-step agents

→ Palmyra X6

That is its strongest area.

An enterprise with regional data-residency rules

→ Palmyra X6 or LongCat-2.5

Origin (China vs US) affects where data is processed and which compliance regime applies — check the provider's terms for your region.

LongCat-2.5: where it fits

Meituan's November 2, 2026 natively multimodal successor to LongCat-2.0 - 1.6T parameters and 1M context at $0.30/$1.20, with open weights planned but undated. Released November 2, 2026 by Meituan, it is built for native multimodal upgrade to LongCat-2.0 - 1.6T total parameters, about 48B active per token, limited-time API price of $0.30/$1.20 per million tokens (cached input $0.006), meituan-reported Terminal-Bench v2.1 of 88.4, up from 70.8 for LongCat-2.0, and openAI- and Anthropic-compatible API endpoints with a 1M-token context window.

Its trade-offs are real: aPI-only for now - GitHub and Hugging Face releases are planned but undated, and the license is unconfirmed (LongCat-2.0 is MIT), the $0.30/$1.20 rate is labeled limited-time, and Meituan says prices are subject to change, and benchmarks are Meituan's own, and sources found no independent score at launch. At $0.3 in / $1.2 out per million tokens, it sits in the budget price band.

Palmyra X6: where it fits

Writer's enterprise agentic flagship - a GLM-5.2-based model with harness upgrades Writer says cut agent token costs by roughly half. Released August 13, 2026 by Writer, it is built for enterprise agentic workflows - built specifically for marketing/revenue teams running multi-step agents, writer says its harness upgrades cut agent-workflow token costs by roughly 52% and improve speed by roughly 48% (Writer's own figures), and a post-trained variant built on Z.ai's open-weight GLM-5.2, tuned specifically for business agent use.

Its trade-offs: no public per-token API price - sold through Writer's enterprise platform, not a self-serve API, not independently benchmarked on general leaderboards like SWE-bench or Artificial Analysis, and built for a narrower enterprise-agent use case rather than general-purpose chat.

The bottom line for this matchup

This is less "which is smarter" and more "which ecosystem fits." LongCat-2.5 (China) and Palmyra X6 (US) differ on pricing philosophy, data-residency, and tooling as much as on raw scores. Palmyra X6 is the cheaper option, which matters at volume. The pragmatic move is to run one real task through both and judge the outputs against your own constraints — including where your data is allowed to be processed.

Want both LongCat-2.5 and Palmyra X6 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is LongCat-2.5 or Palmyra X6 better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, LongCat-2.5 leans toward native multimodal upgrade to longcat-2.0 - 1.6t total parameters, about 48b active per token while Palmyra X6 leans toward enterprise agentic workflows - built specifically for marketing/revenue teams running multi-step agents, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, LongCat-2.5 or Palmyra X6?

Palmyra X6 is cheaper — $0.3/$1.2 per 1M tokens vs Not published.

Which has the bigger context window?

LongCat-2.5 — 1M tokens vs 128K, about 7.8× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both LongCat-2.5 and Palmyra X6 together?

Yes — a multi-model platform like LumiChats gives you LongCat-2.5, Palmyra X6 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, LongCat-2.5 or Palmyra X6?

LongCat-2.5 — released November 2, 2026, about 3 months after Palmyra X6.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.