Ever.ag Assistant
Ever.ag Assistant

This AI assistant may occasionally provide inaccurate or incomplete information.

AI-powered answers about Ever.ag
Model Comparison Guide
Amazon Nova Pro
Current default
$0.80 / $3.20 per 1M tokens

Amazon's mid-tier model. Good balance of quality and cost for RAG chatbots. Strong at following structured prompts and formatting rules.

Amazon Nova Lite
Lower cost
$0.06 / $0.24 per 1M tokens

Faster and cheaper than Nova Pro. Good for straightforward Q&A. Test whether the quality drop is noticeable for your visitors.

Amazon Nova Micro
Lowest cost
$0.035 / $0.14 per 1M tokens

Text-only, lowest latency in the Nova family. Best for simple factual lookups. May struggle with complex formatting instructions.

Claude Sonnet 4
Highest quality
$3.00 / $15.00 per 1M tokens

Anthropic's latest flagship. Excellent at following nuanced system prompts, inline linking, and natural conversational tone. Most expensive option but often the best output quality.

Claude Haiku 4.5
Fast & affordable
$1.00 / $5.00 per 1M tokens

Anthropic's fast, affordable model. Surprisingly capable for its price. Great candidate if Sonnet quality isn't needed for every query — compare to see the tradeoff.

Llama 3.3 70B
Open weights
$0.72 / $0.72 per 1M tokens

Meta's latest open-weight model on Bedrock. Strong general-purpose performance with competitive quality. Worth testing for cost predictability.

Prices shown as input / output per 1M tokens (on-demand). A typical chat exchange (~500 input + ~300 output tokens) costs ~$0.006 with Claude Sonnet 4 and ~$0.00005 with Nova Micro. Select a model from the dropdown, then ask questions to compare response quality.

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Matt Wolf

by | Sep 25, 2022

Matt Wolf joined Ever.Ag with a very strong background in the dairy industry. Matt attended Tarleton State University where he earned his bachelor’s degree in Ag Economics. He spends time focusing on establishing relationships with the farmers and using hedging strategies to protect the farm’s equity. His risk management experience, along with working on the family dairy, gives Matt a well-rounded outlook for providing brokerage and insurance services to dairies. Matt married his college sweetheart Kaley and they have two kids.