LLM Reference

Palmyra X5

Released
2026-02-01
Last refreshed
2026-07-10
Status
Researched 62d ago
ProprietaryCommercial use: conditionalMultimodalCodingRAGAgentsLong contextVisionClassificationJSON / Tool use

Palmyra X5 is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 1m context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Palmyra X
Released
2026-02-01
Context
1m
Max output
8,192
Architecture
Decoder Only
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

AI-powered writing assistance and optimization.

San Francisco, California, United States
Founded 2020
Website
Pricing
Output / 1M
$6.00
Input / 1M
$0.600

Cheapest of 2 routes · AWS Bedrock

About

Writer lists Palmyra X5 as an active AI Studio API model with text and image input, a 1M-token context window, and an 8,192-token output limit. Its documented capabilities map to Agents, Long context, Vision, and JSON / Tool use.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ D

1 relevant benchmark in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
AWS Bedrock$0.600$6.00
Serverless
Writer AI Studio$0.600$6.00
Serverless

Available via routers & gateways(1)

Capabilities

VisionMultimodalJSON / Tool useStructured Outputs

Benchmark peer barsfor Coding

Benchmark scores(3)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
BigCodeBench48.7BigCodeBench (pass@1)Observed 2026-06-07Source
Google-Proof Q&A47.2GPQA (accuracy)Observed 2026-06-07Source
MMLU PRO65.0Official Writer benchmark (accuracy)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.