Compare
Gpt 5 1 Chat Latest vs Palmyra X5
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Palmyra X5 has about 8.1× the context window of the other in this pair.
Palmyra X5 has 712% more context capacity (1040K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Palmyra X5. Its 1040K context fits entire documents without chunking (vs 128K).
Long output (reports, code files)
Use Gpt 5 1 Chat Latest. Its 16K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Gpt 5 1 Chat Latest | Palmyra X5 |
|---|---|---|
| Context window | 128,000 tokens (128K) | 1,040,000 tokens (1040K) |
| Max output tokens | 16,384 tokens (16K) | 8,192 tokens (8K) |
| Speed tier | Balanced | Balanced |
| Vision | Yes | No |
| Function calling | No | No |
| Extended thinking | Yes | No |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | N/A | Jan 2026 |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Gpt 5 1 Chat Latest in | Gpt 5 1 Chat Latest out | Palmyra X5 in | Palmyra X5 out |
|---|---|---|---|---|
| Openai | $1.25/M | $10.00/M | — | — |
Frequently asked questions
Powered by Mem0
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.
Example: a multi-turn chat session
80% less to send — works with any model