Choosing a Model

Chipp supports multiple AI models from OpenAI, Anthropic, Google, and more. Each has different strengths, speeds, and costs. This guide helps you choose the right one.

Quick Recommendations

Estimate Your Costs

Use our calculator to estimate monthly AI costs based on your expected usage:

Featured Models

Best for General Purpose

These models excel at a wide range of tasks including writing, coding, analysis, and conversation.

Best for Speed

When response time matters most, these models deliver near-instant results without sacrificing quality.

Best for Reasoning

For complex problem-solving, multi-step analysis, and tasks requiring deep thinking.

Best Value for Long Documents

Process entire codebases, legal contracts, or book-length content with massive context windows.

Model Deep Dives

OpenAI GPT-5.4

OpenAI GPT-5.6 Sol

GPT-5.6 Sol is OpenAI’s newest frontier model (also selectable via the gpt-5.6 alias). Priced at $5/$30 per million tokens with a 1M-token context window, it targets the same complex-reasoning and coding use cases as GPT-5.5 Pro and Claude Opus 4.8. See Model Benchmarks for official specs.

OpenAI GPT-5.6 Terra

GPT-5.6 Terra balances intelligence and cost at $2/$12 per million tokens — a general-purpose option priced between GPT-5.4 and GPT-5.6 Sol.

OpenAI GPT-5.6 Luna

GPT-5.6 Luna is OpenAI’s most cost-efficient GPT-5.6 tier at $0.20/$1.20 per million tokens, aimed at high-volume, cost-sensitive workloads.

Claude Sonnet 4.6

Gemini 3.1 Pro

OpenAI o3

Claude Haiku 4.5

Gemini 3.5 Flash

Cost-Effective Options

If you’re optimizing for cost, these models offer excellent value:

Key Considerations

Vision Support

If your app analyzes images, choose a model with native vision support. Models without vision use a fallback that may be less accurate.

Vision-capable models:

• All GPT-4.1 and GPT-5.x variants, including the GPT-5.6 family (not o-series reasoning models)
• All Claude models
• All Gemini models

No vision support:

• OpenAI o-series (o1, o3, o4-mini, etc.)

Response Speed

Speed matters for user experience. Faster models keep conversations flowing naturally.

Fastest: GPT-5 Nano, Claude Haiku 4.5, Gemini 3.5 Flash, GPT-5.6 Luna Medium: GPT-5.4, Claude Sonnet 4.6, Gemini 3.5 Flash, GPT-5.6 Terra Slower: Claude Opus 4.8, o1, o3, GPT-5.6 Sol (reasoning takes time)

Context Window

For processing long documents, choose models with large context windows:

1M+ tokens: GPT-4.1 variants, GPT-5.x variants (including GPT-5.6 Sol/Terra/Luna at 1.05M), Claude Opus 4.8, Claude Sonnet 4.6, all Gemini models 200k tokens: Claude Haiku 4.5, OpenAI o-series

Note: Chipp enforces a 128K runtime ceiling on the entire GPT-5.x family (including GPT-5.6) regardless of the published context window, to stay within OpenAI’s Responses API’s practical limits.

Reasoning Quality

For complex tasks requiring multi-step reasoning:

Best reasoning: o3 Pro, Claude Opus 4.8, GPT-5.5 Pro, GPT-5.6 Sol Very good: GPT-5.4, Claude Sonnet 4.6, o3, o4-mini, GPT-5.6 Terra Good: GPT-5 Mini, Claude Haiku 4.5, Gemini 3.1 Pro, GPT-5.6 Luna

HIPAA-Compliant Models

Building a healthcare app? Chipp holds BAAs with Google (Gemini models) and Anthropic (Claude models, excluding Claude Fable). Choose one of these BAA-covered models for your app’s chat. Enabling HIPAA Compliance in Launch > Access enforces authentication and session controls, but it does not itself restrict which chat model you can pick, so make sure you selected a covered model. See HIPAA-Compliant Models for the full breakdown and important caveats.

Changing Your Model

1. Go to your app in the Chipp dashboard
2. Navigate to Build > Configure
3. Under Model, select your preferred model
4. Click Save

Changes take effect immediately for new conversations.

Testing Different Models

Not sure which model works best? Try these approaches:

1. A/B testing: Create two versions of your app with different models and compare user feedback

2. Specific prompts: Test your most common use cases with different models to see quality differences

3. Speed vs. quality: Start with a fast model, then upgrade if users need better responses

Using with MCP

You can manage AI models programmatically using the Chipp MCP Server, including AI-powered model recommendations.

Available Tools

Example Prompts

"What model is my FAQ bot using?"
"Switch my support bot to GPT-5.4"
"Which model would you recommend for my customer service app?"
"List all available models with their pricing"

Workflow: AI-Powered Model Selection

You: Recommend a model for my customer support bot that needs to be fast
and handle simple FAQ questions

AI: [Calls recommend_model with priority="speed"]

Based on your use case, I recommend:

1. **Gemini 3.5 Flash** (Best choice)
   - Very fast responses (~1.5s)
   - Cost: $0.10/M input, $0.39/M output
   - Great for FAQ and simple queries

2. **GPT-5 Nano** (Budget option)
   - Fastest response time
   - Cost: $0.26/M input, $1.63/M output
   - Good for high-volume, simple tasks

Want me to update your app to use Gemini 3.5 Flash?

You: Yes, update it

AI: [Calls update_model]
Updated FAQ Bot to use Gemini 3.5 Flash. Changes take effect
for new conversations.