We Tested AI vs Google Flights on 10 India Routes — Here's Who Won
By Vihaan Patel (Vihaan Patel covers the intersection of travel and digital payments — Indian OTAs, airline-direct booking flows, UPI vs credit-card surcharges, RBI tokenisation rules and the booking-funnel mechanics that quietly cost (or save) you money.) · Published · 12 min read
Same 10 India routes, same travel dates, five tools queried within a 20-minute window. The results were more nuanced than 'AI wins' or 'Google wins' — and the decision matrix at the end should save you real money depending on what kind of trip you're planning.
TL;DR — Which Tool Finds Cheaper India Flights?
Neither wins cleanly across all route types. Google Flights has an edge on popular metro-to-metro domestic routes where its data refresh is frequent and its calendar view is genuinely excellent. AI-powered metasearch tools — including FlightGPT — tend to do better on complex queries, flexible-date scans, and routes involving Tier-2 cities where Google's coverage is thinner. On international routes out of India, the gap between tools narrowed considerably, but AI tools' ability to handle natural-language constraints ('under 16-hour total travel time, no more than one stop') saved meaningful time. The actual rupee differences were mostly in the ₹500–2,500 range per ticket, not dramatic — but on a family booking of 4, that's real money.
The Methodology — How We Ran the Test
I want to be upfront about what this is and isn't. This is not a double-blind academic study with a sample size of 1,000 routes. It's a structured comparison run by someone who books flights professionally and knows what to look for.
The setup: 10 routes selected to represent different search scenarios (details below). All searches run on the same day within a 20-minute window to minimise fare-movement noise. Tools tested: Google Flights, FlightGPT, MakeMyTrip, Cleartrip, and Ixigo. Same travel dates for each route (a weekday departure 3 weeks out, return 10 days later). Results recorded as the cheapest fare shown before adding bags or seats — and then again after adding one checked bag and a standard seat on each tool's booking flow.
The 10 routes: Delhi–Mumbai, Bangalore–Kolkata, Mumbai–Goa, Hyderabad–Chennai, Delhi–Jaipur (short-hop), Mumbai–Dubai, Delhi–Singapore, Bangalore–London (long-haul), Lucknow–Bangalore (Tier-2 origin), Kochi–Ahmedabad (non-metro pair).
Metro-to-Metro Domestic Routes — Google Flights Holds Its Own
On the four big metro pairs — Delhi–Mumbai, Bangalore–Kolkata, Mumbai–Goa, Hyderabad–Chennai — Google Flights matched or slightly undercut the field on base fare in three out of four cases. The calendar view is genuinely better than anything else for spotting the cheapest day-of-week combination at a glance. IndiGo dominated these routes as expected, and Google's IndiGo fare data was consistently accurate and fresh.
Where AI tools added value even on these routes: once I started adding constraints ('show me only flights that arrive before 9pm'), natural-language tools handled the filtering faster. Google Flights does have filters, but you have to know where to look. For a straightforward Delhi–Mumbai round-trip with standard timing, though, Google was as good as anything else — and the calendar view helped me find a window that was around ₹1,200 cheaper on the return leg compared to my original dates.
MakeMyTrip occasionally showed a slightly different IndiGo fare that turned out to include a promotional wallet cashback — technically cheaper but only if you use the MakeMyTrip wallet. That kind of conditional discount is worth being aware of: the headline fare looks lower but the saving is locked to a specific payment method.
Tier-2 Origin Routes — AI Tools Had a Clear Edge
The Lucknow–Bangalore and Kochi–Ahmedabad routes are where the test got interesting. Google Flights showed reasonable results but missed some Akasa Air fares on Lucknow–Bangalore that FlightGPT and Ixigo caught. The Akasa fares weren't dramatically cheaper — typically in the ₹500–1,000 range lower — but they were real and bookable.
On Kochi–Ahmedabad, a non-metro pair with limited direct service, the tool differences were more pronounced. Google Flights correctly showed that direct options are limited and connections through Bangalore or Mumbai add time. But FlightGPT's flexible-date view surfaced a combination with a Mumbai connection that, on a Thursday departure, was around ₹1,800 cheaper than the Tuesday options most other tools highlighted by default. That kind of day-of-week optimisation is where AI-driven search earns its keep.
Ixigo also performed well on Tier-2 routes, partly because they've invested heavily in Indian domestic inventory outside the main metro lanes. For anyone flying from a city like Indore, Vadodara, or Varanasi, Ixigo is worth including in the comparison.
International Routes — Nuanced Results by Query Complexity
Mumbai–Dubai and Delhi–Singapore are well-trafficked routes with strong data on every platform. On simple point-to-point searches, fares were within ₹300–800 of each other across all tools — not enough to matter much. The bigger difference came on the Bangalore–London route, which involves connections and has more variable pricing based on which hub you transit.
Here, I gave each tool a constrained query: same origin and destination, but 'maximum one stop, total travel time under 14 hours, preferring Air India or IndiGo.' Google Flights handled the filtering reasonably but showed me some results that technically violated the time constraint when I checked the actual itinerary. FlightGPT handled the natural-language constraint cleanly and returned three genuinely compliant options, two of which were cheaper than what Google surfaced as its top result.
The long-haul international result was the strongest case for AI-powered metasearch — especially when the query has real constraints that aren't just 'cheapest.' For Bangalore–London, the tool differences amounted to roughly ₹2,000–4,500 per ticket on a fare in the ₹45,000–75,000 range (that's a wide range because fares move a lot — verify current prices on the routes page or directly with Air India).
The Decision Matrix — When to Use Which Tool
Based on the test results, here's how I'd actually allocate search effort:
| Search type | Best primary tool | Worth cross-checking with |
|---|---|---|
| Metro domestic, fixed dates | Google Flights (calendar view) | MakeMyTrip for cashback deals |
| Flexible dates, any route | FlightGPT or Ixigo | Google Flights calendar to validate |
| Tier-2 city origin | FlightGPT or Ixigo | Airline direct site for Akasa/IndiGo |
| International, constrained query | FlightGPT (natural language) | Google Flights, airline direct |
| Last-minute booking | Airline direct site | Ixigo (sometimes has last-min deals) |
The one habit worth building regardless of tool: once you have a shortlist, check the airline's direct site. Website-exclusive fares and app promotions don't always surface on metasearch. Two minutes of direct checking is the highest return-per-minute activity in flight booking.
What the Test Doesn't Tell You
A few honest caveats. First, fares are dynamic — a test run today would produce different numbers. The direction of the differences (which tool found lower fares on which route types) was consistent, but the magnitude varied day by day in my informal follow-up checks. Second, I didn't test every possible tool. Skyscanner, for instance, sometimes surfaces non-obvious options on Indian routes; I'd include it in a longer test. Third, the 'cheapest fare' isn't always the right metric if you value a specific airline's lounge access, cancellation flexibility, or included baggage.
The practical takeaway: no single tool dominates across all Indian route types. The winning strategy is knowing which tool is strongest for your specific query type — and spending 10 minutes with two tools rather than 20 minutes with one.
Frequently asked questions
Does Google Flights show all Indian airline fares including Akasa Air?
Google Flights shows most major Indian carrier fares but has historically had thinner coverage of Akasa Air and some IndiGo promotional fares. Ixigo and FlightGPT tend to have more complete Akasa coverage, which matters especially on routes where Akasa is the cheapest option.
Which tool is best for flexible-date flight search in India?
Google Flights' calendar view is excellent for fixed-origin flexible-date searches. For natural-language flexible queries ('any weekend in July, under 12 hours total'), FlightGPT handles the constraint-solving faster. Both are worth trying for flexible searches.
Are OTA fares like MakeMyTrip ever actually cheaper than Google Flights?
Sometimes, yes — especially when OTAs run cashback promotions tied to specific wallets or credit cards. The headline fare might look the same, but a MakeMyTrip Super Saver deal might add ₹500–1,500 back via wallet credit. These are real savings but conditional on payment method.
How much can you typically save by finding the cheapest tool on an Indian domestic route?
On popular metro-to-metro routes, the gap between tools is often small — ₹200–800 per ticket. On Tier-2 origin or complex international routes, the difference can reach ₹1,500–4,000+. For a family of four on an international booking, that's a meaningful sum.
Should I always book through the tool that showed me the cheapest fare?
Not necessarily. Check the airline's direct website first — if the fare matches, booking direct avoids OTA convenience fees (typically ₹200–600 per booking) and gives you a more direct relationship for any cancellation or change. If the OTA is genuinely cheaper after including its cashback, then book through the OTA.
How do I use FlightGPT's natural-language search effectively?
Be specific about your real constraints: 'Show me the cheapest Mumbai to Bangkok flights in the first two weeks of August with no more than one stop and arrival before midnight.' The more specific the constraint, the more useful the AI filtering. Vague queries get vague results.