Palmyra X6
Frontier-level performance for marketing and revenue teams with dramatically lower costs
Context window
1000000
Input / 1M tokens
$2.00
Output / 1M tokens
$8.00
Provider
Writer
Data verified 2026-08-16
Palmyra X6 is a 744-billion-parameter mixture-of-experts model with roughly 40 billion active parameters per token, built as a post-training variation on GLM-5.2's architecture. Engineered for cost efficiency at scale, it delivers frontier-competitive performance while keeping token consumption costs low. The model is optimized for agentic work and long-running tasks across high-volume enterprise workflows.
Capability index
Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.
How to access it
Available to Writer clients through Writer's AI Studio, Agent platform, and available via Azure or Amazon Bedrock integrations.
Strengths
- ✓52% lower cost with upgraded harness infrastructure
- ✓48% improvement in speed vs. previous generation
- ✓10% improvement in quality when paired with Writer's agent platform
- ✓Competitive performance against Claude Opus 4.8, Claude Sonnet 4.6, and GPT-5.5 on internal enterprise capability evaluations
Best for developers who...
When to choose it (and when not to)
Reach for Palmyra X6 when...
- →Enterprise teams needing to control token spending while scaling AI agents
- →Organizations running agents across thousands of employees
- →Cost-sensitive workloads requiring frontier-level reasoning
Look elsewhere if...
- ✕Not specified in official documentation
How to use it
- ›Not specified in official documentation
Quickstart
Not specifiedNot specifiedAccess through Writer's AI Studio, Agent Builder, or API
API model id: palmyra-x6
Benchmarks
| Benchmark | Score | Notes |
|---|---|---|
| Internal Writer Enterprise Evaluation (9 capabilities) | 0.87/1.00 | Covers grounding, retrieval, tool use, content generation, sub-agent delegation, brand voice; outperformed Claude Opus 4.8 (0.86), Claude Sonnet 4.6 (0.85), GPT-5.5 (0.80), Gemini 3.1 (0.77) |
| FORTRESS Adversarial Safety Benchmark | 8.6 points higher than GLM-5.2 base | With negligible cost to benign helpfulness |
Source: Writer Official Blog
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