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Top limitations

• • Final commercial and safety requirements depend on provider policy and deployment setup.
• • High-context prompts require strict prompt budgeting for cost control.

Top limitations

• • Output modality is text-first in OpenRouter routing.
• • High multimodal context can increase latency and spend.

Top limitations

• • Higher output token cost needs strict budget controls.
• • For latency-sensitive UX, route simple prompts to smaller model tiers.

Top limitations

• • Complex multimodal prompts may increase latency at peak load.
• • For routine tasks, flash-tier routing is generally more cost-effective.

Top limitations

• • Premium output pricing can grow quickly for long responses.
• • Use guardrails for sensitive workflow automation.

Top limitations

• • Complex typography may require manual cleanup.
• • Color-token mapping needs post-processing for strict design systems.

Top limitations

• • Premium pricing makes it unsuitable for high-volume low-value requests.
• • Still requires robust policy checks for sensitive automation paths.

Top limitations

• • Can fail on dense text paragraphs.
• • Requires careful negative prompts for hand details.

Top limitations

• • Brand-safe trademark handling still requires legal review.
• • Fine geometric vector control is limited compared to SVG-native tools.

Top limitations

• • Deployment footprint is heavy for self-hosting.
• • Quality varies across providers.

Top limitations

• • Long contexts still require careful retrieval and chunking strategy.
• • Quality varies for domain-specific enterprise policy tasks without examples.

Top limitations

• • Shorter context window versus latest high-context frontier models.
• • Needs prompt constraints for compliance-sensitive outputs.