palmyra-x5
Palmyra X5 is Writer’s most advanced model, purpose-built for building and scaling AI agents across the enterprise, with fast, efficient handling of context windows up to 1M tokens.
Pricing: Input 144 credits / 1M tokens (≈ $0.72), Output 1440 credits / 1M tokens (≈ $7.20).
Prices updated
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This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.
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Palmyra X5 API on ModelFold
Palmyra X5 is Writer’s most advanced model, purpose-built for building and scaling AI agents across the enterprise, with fast, efficient handling of context windows up to 1M tokens. Try Palmyra X5 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Palmyra X5 API
Palmyra X5 at a glance
Palmyra X5 is a chat model from Writer. It accepts text as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call Palmyra X5 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Palmyra X5
Up to 1M tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
How to Use Palmyra X5 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Palmyra X5 responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "palmyra-x5" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Palmyra X5
Enterprise workflows
Automate internal processes such as reporting, knowledge-base Q&A, ticket handling and document review.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
Frequently Asked Questions
What is Palmyra X5?⌄
Palmyra X5 is Writer’s most advanced model, purpose-built for building and scaling AI agents across the enterprise, with fast, efficient handling of context windows up to 1M tokens.
Which inputs does Palmyra X5 support?⌄
Palmyra X5 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Palmyra X5?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Palmyra X5 support function calling?⌄
Function calling is not listed for Palmyra X5; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Palmyra X5 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Palmyra X5 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "palmyra-x5", using your ModelFold API key as the Bearer token.
| Input | 144 credits 1M tokens≈ $0.72 |
| Output | 1440 credits 1M tokens≈ $7.20 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"palmyra-x5","messages":[{"role":"user","content":"Hello"}]}'