Model comparison
The following table compares the capabilities, context windows, and pricing of the Palmyra X6, X5, and X4 models.Palmyra X6 is the default model for WRITER Agent. Palmyra X6, X5, and X4 are available via API. Palmyra X5 and X4 are also available in No-code and Agent Builder. To analyze images, use vision capabilities with Palmyra X5.
Model details
Palmyra X6
Palmyra X6
- Overview
- Use cases and capabilities
- Benchmarking
Palmyra X6 is Writer’s default agentic model for WRITER Agent and long-horizon enterprise workflows. It was co-developed with the product’s orchestration layer. Capability scores in the Benchmarking tab measure the model in that combined system, which is how customers deploy it.Palmyra X6 can hold a single objective for up to 8 hours without supervision, planning, executing, verifying output, and delivering finished work rather than a draft that needs another pass.Pricing:
- Input: $2.00 per 1M tokens
- Output: $8.00 per 1M tokens
- Cost per finished task: $0.12
- Latency per finished task: 26 seconds
Palmyra X5
Palmyra X5
- Overview
- Use cases and capabilities
- Benchmarking
Palmyra X5 is Writer’s general-purpose model for building and scaling AI agents, featuring a 1 million token context window, adaptive reasoning, and strong speed and cost efficiency.Pricing:
- Input: $0.60 per 1M tokens
- Output: $6.00 per 1M tokens
Palmyra X4
Palmyra X4
- Overview
- Use cases and capabilities
- Benchmarking
palmyra-x4 is an advanced language model that excels in processing and understanding complex tasks. It’s ideal for workflow automation, coding tasks, and data analysis.Pricing:- Input: $2.50 per 1M tokens
- Output: $10.00 per 1M tokens
Using models with the Writer API
- Chat completions
- Text generation
To select the Palmyra model you want to use for a chat completion, specify the model ID in the You can also use prebuilt tools within a general-purpose chat completion request:
model parameter of the request.Below is an example of specifying the palmyra-x5 model in a chat completion request.- LLM tool to call another model
- Knowledge Graph tool to ask questions about a Knowledge Graph
- Translation tool to translate text
- Web search tool to search the web
Deprecation policy
Timeline for deprecation
- We’ll announce the deprecation of a model at least three months in advance. This will give customers time to plan for the migration to the new model.
- We’ll continue to support deprecated models for a period of time after they’re deprecated. This will give customers time to migrate to the new model.
- We’ll eventually stop supporting deprecated models. The timeline for this will vary depending on the model. We will announce the end of support for a deprecated model at least six months in advance.
Deprecated models
Migration path
- We’ll provide customers with a migration path to the new model, including detailed documentation and support to help them migrate their applications.
- We’ll also offer training and consulting services to help customers transition.