Model Independence
Replywise doesn't tie you to a single AI provider. OpenAI, Anthropic, Google, Meta, Mistral, Cohere, and more — supports 29+ AI models from 7 different providers. Choose the model you want, switch whenever you want. No vendor lock-in, full flexibility is yours.
Each model has different strengths. GPT-4o excels at creative writing, Claude manages long contexts perfectly, Gemini shines in multilingual tasks, and open-source models are ideal for data privacy. Choose the most suitable model for your use case in a data-driven way.
29+ Models
The latest and most powerful AI models from 7 providers in one platform.
Instant Switch
One-click switching between models — no downtime, no data loss.
No Vendor Lock-in
Freedom to change providers and models at any time.
Supported Models
Use the latest and most powerful AI models from a single platform. New models are automatically added as they're released — you always have access to the latest technology.
OpenAI
GPT-4o, GPT-4o mini, GPT-4 Turbo, o1, o1-mini
Anthropic
Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku
Gemini 1.5 Pro, Gemini 1.5 Flash, Gemini Ultra
Meta
Llama 3.1 405B, Llama 3.1 70B, Llama 3.1 8B
Mistral
Mistral Large, Mixtral 8x7B
Cohere
Command R+, Command R
Others
Perplexity, Together AI, Groq
Model Comparison & A/B Testing
Discover which model delivers the best performance for your use case in a data-driven way. Route the same questions to different models with A/B testing and compare response quality, speed, cost, and customer satisfaction metrics.
See each model's strengths and weaknesses with benchmark reports. Assign different models for specific topics (technical support vs. sales) — create a hybrid strategy. Optimize your budget by finding the best cost-performance ratio.
- Real-time A/B test infrastructure
- Automatic benchmark reports
- Topic-based model assignment
- Cost-performance optimization
- Automatic fallback (when a model fails)
Fine-Tuning & Customization
Fine-tune your chosen model with your own data. Train the model with your previous conversation logs, product information, and industry-specific terminology to deliver more accurate and consistent responses. Fine-tuning is a fully managed process — no technical knowledge required.
Define your agent's personality, rules, and boundaries in detail with the system prompt editor. Specify business rules in natural language like "Never share pricing info", "Don't badmouth competitor products", "Always cite sources for technical questions".
Managed Fine-Tuning
Train models with your own data without requiring technical knowledge.
System Prompt Editor
Define agent personality and business rules in natural language.
Cost Management
Monitor each model's token cost in real-time. Set monthly budget limits, receive cost alerts, and optimize spending with model usage reports. Low-cost models (GPT-4o mini, Haiku) for simple questions, powerful models (GPT-4o, Claude Opus) for complex ones — reduce costs by up to 60% with smart routing.
Analyze token usage by conversation type. Support conversations might average 500 tokens while sales conversations use 2000 — adjust your model strategy based on this data. Unused tokens carry over to the next month with unused token carry-over.
Cost savings with smart routing
Supported models
AI provider integrations