Writerbalanced

Palmyra X5

Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and efficiency on context windows up to 1 million tokens, powered by a novel transformer architecture and hybrid attention mechanisms. This enables faster inference and expanded memory for processing large volumes of enterprise data, critical for scaling AI agents.

1.0M context·~780K words·8K max output

View context details Compare with Amazon Titan Text Express

Context window1.0Mtokens

Max output8Ktokens

Context window

This model accepts 1.0M tokens in one request (~780K words of text).

Context window size1.0M tokens

4K32K128K1M10M

What fits in one request

Short document
About 1,500 words of text
Fits
Long document
About 37K words of text
Fits
Small codebase
About 150K words of text
Fits
Full novel
About 375K words of text
Fits

Specifications

Context size, pricing, and release info in one place.

Context window: 1,040,000 tokens (1.0M)
Max output tokens: 8,192 tokens (8K)
Speed tier: balanced
Provider: Writer
Release date: Jan 2026

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (1)

Streaming: Returns tokens as they are generated; Supported

Not supported (7)

Vision: Accepts image inputs alongside text; Not supported
Tool use: Can call external tools and APIs; Not supported
Function calling: Structured function call interface; Not supported
Extended thinking: Shows its chain-of-thought reasoning; Not supported
Web search: Can browse the web during a request; Not supported
Batch API: Process many requests asynchronously; Not supported
Prompt caching: Reuse repeated prompt prefixes cheaply; Not supported

Best for

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Long documents RAG

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Frequently asked questions

Short answers about context size and how this model behaves.

Palmyra X5 has a context window of 1M tokens (1,040,000 tokens). This million-token window can process entire codebases, long legal documents, or book-length texts in a single pass.

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savings Learn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent

Full history

Repeated info

Old context

With Mem0~20K tokens sent

Key memories

Current turn

80% less to send — works with any model