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Qwairy sends your prompts to a wide set of AI providers and models. This page lists every provider and model we support, explains the two ways Qwairy collects their answers, and details how many credits each response costs.

How Qwairy queries AI models

Qwairy collects answers in two fundamentally different ways, and every model falls into one of them. The method determines what you’re measuring, where it can be run, and how much it costs.

Core models: web scraping

Qwairy simulates a real user sending your prompt through the model’s public-facing website, then retrieves the answer straight from that interface.You see exactly what a real user sees in ChatGPT, Perplexity, Gemini, Copilot, Grok, or Google, including AI Overviews and AI Mode. Results can be geo-localized by country.Flat cost: 1 credit per response.

Premium models: official API

Qwairy calls the provider’s official API for a specific, versioned model (e.g. gpt-5, claude-opus-4-8), with web search grounding enabled so answers stay current.You get a deterministic, pinned model version, ideal for comparing a precise model across time or against competitors.Cost varies by model: 2 to 20 credits per response.
Core modelsPremium models
CollectionScraping of the public web interfaceOfficial provider API
ReflectsWhat a real user sees in the appA specific, pinned model version
Geo-localizationYes, by countryLocation passed as a hint to search
Web searchNative to the interfaceEnabled via search grounding
Cost1 credit2 to 20 credits
Both methods answer different questions. Core models tell you how your brand shows up for a real user right now. Premium models let you benchmark a precise model version consistently. Most brands monitor a few Core models first, then add Premium models for deeper competitive analysis.

Core models: web scraping

All Core models cost 1 credit per response and reflect the model’s live, public web experience.
ModelProviderWhat it is
ChatGPTOpenAIThe standard ChatGPT web interface
PerplexityPerplexity AIThe conversational search-and-answer engine
CopilotMicrosoftMicrosoft Copilot’s web interface
GrokxAIxAI’s Grok, via its web interface
GeminiGoogleGoogle’s Gemini web chat experience
Google AI OverviewGoogleThe AI-generated summaries shown in Google Search results
Google AI ModeGoogleGoogle Search’s conversational AI Mode

Premium models: official API

Premium models are queried through each provider’s official API. Cost depends on the model.

OpenAI

ModelCredits
GPT-5 Mini2
GPT-54
GPT-5.14
GPT-5.25
GPT-5.4 Mini3
GPT-5.46
GPT-5.511

Anthropic (Claude)

ModelCredits
Claude Haiku 4.54
Claude Sonnet 4.512
Claude Sonnet 4.614
Claude Sonnet 514
Claude Opus 4.620
Claude Opus 4.720
Claude Opus 4.820

Google Gemini

ModelCredits
Gemini 2.5 Flash Lite3
Gemini 2.5 Flash4
Gemini 2.5 Pro5
Gemini 3 Flash Preview4
Gemini 3.1 Flash Lite2
Gemini 3.5 Flash3
Gemini 3.1 Pro Preview5

Perplexity

ModelCredits
Sonar2
Sonar Pro3
Sonar Reasoning Pro4
Sonar Deep Research6

xAI (Grok)

ModelCredits
Grok 4.35
Grok 4.53

Mistral

ModelCredits
Mistral Small3
Mistral Medium4
Mistral Large4

DeepSeek

ModelCredits
DeepSeek Chat2
DeepSeek Reasoner2

How credits work

Qwairy uses a credit-based system. Credits are consumed when generating AI responses, creating content, and importing prompts.
OperationCostDescription
Answer generation1 to 20 creditsThe base unit: one prompt sent to one model (see tables above). Every total below is a multiple of this.
Brand Perception analysis10 credits per providerA perception snapshot runs across the available Core providers (up to 6), so up to 60 credits per run.
Content Studio brief50 creditsOne article brief.
Prompt import / auto-generate~7 credits per promptWhen you add or import prompts with auto-generate enabled, each new prompt is immediately run against your Core models (7 by default). Turn auto-generate off to add prompts without spending credits until you monitor.

Calculation examples

Monitoring run, 10 prompts x 3 models (ChatGPT Core, GPT-5 Mini, Perplexity Core):
10 x (1 + 2 + 1) = 40 credits per run
Prompt import with auto-generate, 100 prompts run against all 7 Core models:
100 x 7 = 700 credits
Brand Perception, one snapshot across 6 Core providers:
6 x 10 = 60 credits
Content Studio, 1 article brief = 50 credits.

Credit balance

View your remaining credits at the top of the dashboard header, or under Team Management > Usage.

Best practices

TipBenefit
Start with Core modelsLower cost, validate your prompts first
Use weekly monitoringBalance data freshness vs. cost
Disable auto-generate for bulk importsControl when credits are spent
Add Premium models selectivelyReserve higher-cost models for deep benchmarks

Running out of credits

When credits are exhausted, scheduled monitoring pauses and manual generation is blocked. Purchase additional credits to resume.