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Top limitations

• • Not as expressive as premium creative voice models for character-heavy content.
• • Needs strong content policy checks before automated publishing.

Top limitations

• • Expressive long-form narration is weaker than studio-grade TTS stacks.
• • Best quality requires stable audio playback pipeline.

Top limitations

• • Domain-specific jargon requires custom vocabulary adaptation.
• • Noisy multi-speaker audio may need pre-cleaning for best accuracy.

Top limitations

• • Voice cloning requires strict consent handling.
• • Expressive styles can vary by language.

Top limitations

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

Top limitations

• • Requires careful turn-taking UX to avoid overlap artifacts.
• • Long calls need strict token/session budget controls.

Top limitations

• • Consent management and voice ownership checks are mandatory.
• • Fine voice style control varies by locale.

Top limitations

• • Production-readiness depends on your own inference, moderation, and quality pipeline.
• • License and commercial terms must be checked per model card.

Top limitations

• • Deployment quality depends on audio stack design and runtime controls.
• • Model card policy constraints must be reviewed before commercial rollout.

Top limitations

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

Top limitations

• • Conversation quality still depends on turn management and playback stack.
• • Voice cloning must include explicit user consent controls.

Top limitations

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