Amazon Nova 2 Pro vs Palmyra X6

Amazon · US  |  Writer · US · Updated June 2026

Quick verdict

Pick Amazon Nova 2 Pro for amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort or deep aws bedrock integration for teams already building on aws. 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.

Amazon Nova 2 Pro (Amazon) and Palmyra X6 (Writer) are two of the models people most often weigh against each other in 2026. Amazon Nova 2 Pro is amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier. 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

SpecAmazon Nova 2 ProPalmyra X6
ProviderAmazon (US) Writer (US)
ReleasedDecember 2, 2025 August 13, 2026
Context window1M (~1,500 pages) 128K (~192 pages)
Price (in/out)$2.19/$17.5 per 1M tokens Not published
Open weight?No — API only No — API only
Modalitiestext, image text, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Amazon's next-generation Nova flagship - a 1M-token context window with selectable reasoning effort

Amazon Nova 2 Pro

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

Deep AWS Bedrock integration for teams already building on AWS

Amazon Nova 2 Pro

Amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier — and it carries the larger 1M context.

A companion real-time-voice model (Nova 2 Sonic) in the same family

Amazon Nova 2 Pro

Amazon Nova 2 Pro lists a companion real-time-voice model (Nova 2 Sonic) in the same family among its strengths; Palmyra X6 does not.

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

Palmyra X6

Writer's enterprise agentic flagship - a GLM-5.2-based model with harness upgrades Writer says cut agent token costs by roughly half — and it is the newer of the two.

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; Amazon Nova 2 Pro 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; Amazon Nova 2 Pro does not.

Lowest cost at scale

Palmyra X6

Its weights are open, so at volume you pay for your own hardware instead of Amazon Nova 2 Pro's $2.19/$17.5 per 1M tokens.

Largest single-prompt input

Amazon Nova 2 Pro

Its 1M 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 Amazon Nova 2 Pro, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

Amazon Nova 2 Pro

Larger 1M window fits more in one prompt.

Anyone whose priority is amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort

Amazon Nova 2 Pro

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.

Amazon Nova 2 Pro: where it fits

Amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier. Released December 2, 2025 by Amazon, it is built for amazon's next-generation Nova flagship - a 1M-token context window with selectable reasoning effort, deep AWS Bedrock integration for teams already building on AWS, a companion real-time-voice model (Nova 2 Sonic) in the same family, and replaces the original Nova Premier, which AWS is retiring in September 2026.

Its trade-offs are real: pricing shown reflects preview-tier rates and may change at general availability, amazon's Nova line has historically scored below independent-intelligence leaders like Claude, GPT, and Gemini, and a newer release with less real-world production track record than established flagships. At $2.19 in / $17.5 out per million tokens, it sits in the mid 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

Amazon Nova 2 Pro and Palmyra X6 overlap enough that the right pick depends on your specific job. Palmyra X6 costs less per token; Amazon Nova 2 Pro holds the larger context; and each leads in its own area — Amazon Nova 2 Pro for amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort, Palmyra X6 for enterprise agentic workflows - built specifically for marketing/revenue teams running multi-step agents. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both Amazon Nova 2 Pro 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 Amazon Nova 2 Pro 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, Amazon Nova 2 Pro leans toward amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort 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, Amazon Nova 2 Pro or Palmyra X6?

Palmyra X6 is cheaper — $2.19/$17.5 per 1M tokens vs Not published.

Which has the bigger context window?

Amazon Nova 2 Pro — 1M 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 Amazon Nova 2 Pro and Palmyra X6 together?

Yes — a multi-model platform like LumiChats gives you Amazon Nova 2 Pro, 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, Amazon Nova 2 Pro or Palmyra X6?

Palmyra X6 — released August 13, 2026, about 8 months after Amazon Nova 2 Pro.

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.