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Palmyra X5 API pricing

OpenRouter · chat model · 1.0M context · ranked #1097 of 2041 by input price

prices checked 2026-09-18 06:09 UTC
Input / 1M tokens
$0.6
Output / 1M tokens
$6
Cached input / 1M
Max output
8K

What Palmyra X5 costs in practice

Palmyra X5 is priced at $0.6 per million input tokens and $6 per million output tokens and no separately published prompt-cache rate. Against the median priced chat model ($0.5/1M in), this sits at 1.2×.

Monthly cost examples

Assuming 1,200 prompt + 400 completion tokens per request unless noted, billed 30 days a month and without cache hits.

WorkloadCost / monthCost / day
1,000 requests/day$93.6$3.12
10,000 requests/day$936$31.2
100,000 requests/day$9360$312
1M summaries/month$6599.93$220

Model a different profile in the cost calculator.

Capabilities

No capability flags published for this model.

Cheaper alternatives

Ranked by blended cost (3× input + 1× output) — cheaper, but check context and capabilities before switching.

#ModelProviderInput $/1MOutput $/1MCached $/1MContext
1Gemini Exp 1114Google Geminifreefree1.0M
2Gemini Exp 1206Google Geminifreefree2.1M
3Gemma 3 27b ItGoogle Geminifreefree131K
4Gemma 4 26b A4b ItGoogle Geminifreefree262K
5Gemma 4 31b ItGoogle Geminifreefree262K
6Learnlm 1.5 Pro ExperimentalGoogle Geminifreefree33K

Data provenance

This page is assembled from the sources below. Where two sources disagree, both are shown.

Primary sources
Cross-check

Only one source publishes this model; no independent cross-check available yet.

More from OpenRouter

Frequently asked

How much does Palmyra X5 cost per 1,000 tokens?

About $0.0006 for input and $0.006 for output tokens, based on the per-million rates on this page.

Is Palmyra X5 cheaper than other models?

By input price it ranks #1097 of 2041 priced chat models in this index, putting it in the more expensive half of the market.

How often is Palmyra X5's price checked?

The dataset was last refreshed 2026-09-18 06:09 UTC. Providers can change pricing at any time — verify with OpenRouter before committing to a budget.