Corporate travel management
Asked as “corporate travel booking platform”, and as “business travel management tool”, on behalf of a mid-market B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
53%
Clear leader
53Navan19TravelPerk14Booking.com for Business15others
53% of first choices, clear leader.
Since September 2026=heldSince September 2026: 51% → 51%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Navan held the lead, ±0 points on 51%, inside the 10-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Navan37%Contested▲+4Since September 2026: 33% → 36%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketNavan53%Clear leader=heldSince September 2026: 51% → 51%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageEnterprise
SAP Concur46%Clear leader=heldSince September 2026: 48% → 48%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →
Navan37%Contested▲+4Since September 2026: 33% → 36%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketNavan53%Clear leader=heldSince September 2026: 51% → 51%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageEnterpriseSAP Concur46%Clear leader=heldSince September 2026: 48% → 48%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Navan53%13%67endorsed leader=heldSince September 2026: 51% → 51%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.51% → 51%
Navan53%13%67endorsed leader=heldSince September 2026: 51% → 51%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.51% → 51%02
TravelPerk19%8%60accepted challenger▼−1Since September 2026: 22% → 22%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.22% → 22%
TravelPerk19%8%60accepted challenger▼−1Since September 2026: 22% → 22%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.22% → 22%03
Booking.com for Business14%25%28criticized challenger▲+5Since September 2026: 9% → 14%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 14%
Booking.com for Business14%25%28criticized challenger▲+5Since September 2026: 9% → 14%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 14%04
Ramp5%8%38accepted challenger▲+1Since September 2026: 4% → 6%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 6%
Ramp5%8%38accepted challenger▲+1Since September 2026: 4% → 6%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 6%05
Engine3%18%11accepted challenger▼−1Since September 2026: 4% → 4%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 4%
Engine3%18%11accepted challenger▼−1Since September 2026: 4% → 4%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 4%Show the seven products at 0%, ordered by negative rate
06SAP Concur0%27%41criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
SAP Concur0%27%41criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%07
Amex GBT Egencia0%23%35accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Amex GBT Egencia0%23%35accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%11
American Express Global Business Travel0%21%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
American Express Global Business Travel0%21%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%08
Brex0%19%21accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Brex0%19%21accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%12
CWT0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
CWT0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%10
BCD Travel0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
BCD Travel0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%09
Spotnana0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Spotnana0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All ten head-to-head pages: the top five products, each against each
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Navan53%
Navan53%02TravelPerk19%
TravelPerk19%03Booking.com for Business14%
Booking.com for Business14%04Ramp5%
Ramp5%05Engine3%
Engine3%06SAP Concur0%
SAP Concur0%07Amex GBT Egencia0%
Amex GBT Egencia0%08Brex0%
Brex0%09Spotnana0%
Spotnana0%10BCD Travel0%
BCD Travel0%11American Express Global Business Travel0%
American Express Global Business Travel0%12CWT0%
CWT0%What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Perplexity Sonar, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Navan13%
9 of 67 labels negative · 8 of 14 models · 1 hard negative
“these are the travel management platforms that consistently draw the most cautionary feedback: ### Navan, formerly TripActions” Muse Glimmer 30B, negative prompt
SAP Concur27%
11 of 41 labels negative · 8 of 14 models
“often criticized for being slow and inconsistent in support response, overly complex security measures, and cumbersome time-off management” Mistral Small, negative prompt
Booking.com for Business25%
7 of 28 labels negative · 7 of 14 models · 3 hard negative
“**Consumer booking sites** like Expedia or Booking.com used as a business travel system ... generally lack policy enforcement” Perplexity Sonar, negative prompt
Amex GBT Egencia23%
8 of 35 labels negative · 6 of 14 models · 1 hard negative
“"Egencia is the WORST business travel booking system on the market."” Muse Glimmer 30B, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
79 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1040 links across 176 sites, every framing counted. Ranked by the number of answers carrying the site or page. 2 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Navan52 answers · 123 citations · 14 models
vendor site · Otto the Agent45 answers · 68 citations · 12 models
vendor site · Perk41 answers · 59 citations · 12 models
vendor site · G236 answers · 71 citations · 12 models
vendor site · Ramp35 answers · 40 citations · 12 models
vendor site · Booking.com33 answers · 82 citations · 13 models
vendor site · Engine25 answers · 29 citations · 10 models
vendor site · Brex22 answers · 30 citations · 11 models
vendor site · G221 answers · 23 citations · 10 models
vendor site · BILL21 answers · 22 citations · 8 models
18 answers · 18 citations · 9 models
vendor site · ITILITE15 answers · 16 citations · 8 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
31 answers · 11 models
24 answers · 10 models
21 answers · 10 models
18 answers · 9 models
18 answers · 10 models
17 answers · 9 models
16 answers · 9 models
16 answers · 7 models
16 answers · 9 models
15 answers · 6 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best corporate travel booking platform”, “corporate travel booking platform”, “travel management platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Navan navan.com Navan 53%, Navan, formerly TripActions 2% | 54% | 306 | 110,000 | 1,342 | 175,958 | $2,716 | 120 | 2 |
| TravelPerk perk.com TravelPerk 19%, Perk, formerly TravelPerk 2% | 20% | 156 | 5,400 | 113 | 37,067 | 80 | 8 | |
| Booking.com booking.com Booking.com for Business 14% | 14% | 80 | 390 | 18 | 64,051,598 company | $961,327 | 119 | 3 |
| Ramp ramp.com | 5% | 1042 | 246,000 | 49,733 | 770,056 | $13,511 | 120 | |
| Engine engine.com | 3% | 30 | 90,500 | 1,465,204 | 141,924 | $4,510 | 120 | 1 |
| Routespring routespring.com | 2% | 11 | 320 | 1 | 674 | |||
| BILL bill.com BILL Spend & Expense 2% | 2% | 342 | 2,740,000 | 1,063,001 | 1,783,039 company | $199,231 | 119 | |
| SAP Concur sap.com | 0% | 414 | 74,000 | 502 | 2,214,514 | $1,251 | 23 | |
| Amex GBT Egencia egencia.com | 0% | 90 | 170 | 5 | 16,426 | 0 | 1 | |
| Brex brex.com | 0% | 640 | 60,500 | 1,190 | 328,914 | $12,238 | 81 |
Google's top ten for the three searches hold 14 sites; 6 of them are among the sites the models cited here (business.booking.com, engine.com, learn.g2.com, navan.com, oncehub.com, perk.com). The first result for “best corporate travel booking platform” is learn.g2.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best corporate travel booking platform for a mid-market B2B company?”Paraphrase“Which business travel management tool would you recommend to a mid-sized B2B company?”Comparative“What are the top travel management platforms and how do they differ?”Budget-constrained“What is the best corporate travel booking platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a corporate travel booking platform. What should we look at?”Negative“Which travel management platforms should I avoid or be cautious about?”
Claude Haiku 4.5NavanRampChangedno first choiceEngine, Rampno first choiceagainst: Gate 1 Travel, Hotwire, Trafalgar Tours, Trip.com
Four alternatives
Amex GBT Egencia, BCD Travel, Ramp, TravelPerkThree alternatives
AmTrav, Brex, NavanFive alternatives
American Express Global Business Travel, BCD Travel, CWT, Engine, myBizOne alternative
TravelPerkGPT-5.4 miniNavanNavanHeldNavanBooking.com for Businessagainst: Navanno first choiceagainst: Amex GBT Egencia, Navan, SAP Concur, TravelBank, TravelPerk, mytrip.com / MyTrip
Three alternatives
Amex GBT Egencia, SAP Concur, TravelPerkTwo alternatives
ITILITE, SAP ConcurFive alternatives
American Express Global Business Travel, Amex GBT Egencia, BCD Travel, CWT, TravelPerkOne alternative
TravelPerkGemini 3.5 FlashNavanNavanHeldagainst: SAP ConcurNavan, TravelPerkagainst: Brex, RampNavanno first choiceagainst: American Express Global Business Travel, Booking.com for Business, Brex, Ramp, SAP Concur
Four alternatives
Amex GBT Egencia, Brex, Ramp, TravelPerkFive alternatives
Amex GBT Egencia, Brex, Ramp, Rippling Travel, TravelPerkThree alternatives
American Express Global Business Travel, SAP Concur, SpotnanaFour alternatives
BILL Spend & Expense, Booking.com for Business, Ramp, TravelPerkThree alternatives
Navan, Spotnana, TravelPerkPerplexity SonarTravelPerkNavanChangedNavanagainst: Expensify Travel, Zoho ExpenseBooking.com for Businessno first choiceagainst: Booking.com for Business, Expedia for Business, Navan, SAP Concur, TravelPerk
Four alternatives
Booking.com for Business, Corporate Traveler, Navan, RoutespringFour alternatives
AmTrav, Brex, Ramp, RoutespringThree alternatives
Amex GBT Egencia, SAP Concur, TravelPerkOne alternative
TravelPerkGrok 4.1 FastNavanagainst: Amex GBT Egencia, SAP ConcurNavanHeldagainst: SAP ConcurNavanagainst: Expensify Travel, Zoho ExpenseBooking.com for BusinessNavanagainst: ADTRAV Travel Management, Booking.com for Business, Corporate Travel Management, Expedia for Business, Global Travel International, SAP Concur
Two alternatives
Ramp, TravelPerkThree alternatives
Booking.com for Business, Ramp, TravelPerkTwo alternatives
Amex GBT Egencia, TravelPerkThree alternatives
GetGoing Travel, Navan, TravelPerkFive alternatives
American Express Global Business Travel, Amex GBT Egencia, SAP Concur, TravelPerk, TripIt ProMistral SmallNavanBooking.com for Business, NavanChangedNavanBooking.com for Business, TravelPerkno first choiceagainst: Booking.com for Business, Engine, Navan, SAP Concur
Three alternatives
Booking.com for Business, Certify, RoutespringOne alternative
Tipalti ExpenseSeven alternatives
American Express Global Business Travel, Amex GBT Egencia, Brex, Coupa, Ramp, SAP Concur, TravelPerkThree alternatives
Amex GBT Egencia, Businesstravel.com, NavanDeepSeek V4 FlashNavanNavanHeldagainst: Amex GBT EgenciaNavan, TravelPerkagainst: Amex GBT EgenciaBooking.com for Business, Navanno first choiceagainst: BCD Travel, Brex, CWT, Ramp, SAP Concuragainst: Booking.com for Business, Expedia for Business, Kiwi.com, Opodo / Opodo Prime
Three alternatives
Amex GBT Egencia, SAP Concur, TravelPerkTwo alternatives
Brex, TravelPerkSix alternatives
American Express Global Business Travel, BCD Travel, Brex, CWT, Ramp, SAP ConcurTwo alternatives
Ramp, TravelPerkFour alternatives
ITILITE, Navan, Spotnana, TravelPerkLlama 4 MaverickNavan, Routespring, TravelPerkNavanChangedno first choiceTravelPerkno first choiceagainst: Engine, ITILITE, Navan, TravelPerk
Three alternatives
AmTrav, Amex GBT Egencia, TravelBankTwo alternatives
Booking.com for Business, RampQwen 3.7 FlashTravelPerkNavan, TravelPerkChangedagainst: SAP ConcurNavanBILL Spend & Expense, Rampagainst: Navanno first choiceagainst: Agoda, Booking.com for Business, Expedia for Business, Priceline, TripAdvisor, Vrbo
Two alternatives
Navan, SpotnanaTwo alternatives
American Express Global Business Travel, TravelBankFive alternatives
American Express Global Business Travel, BCD Travel, Brex, Ramp, TravelPerkOne alternative
Booking.com for BusinessKimi K2Navan, TravelPerkagainst: American Express Global Business Travel, CWTNavanChangedNavanNavan, TravelPerkNavan, TravelPerkagainst: American Express Global Business Travel, BCD Travel, Corporate Travel Management, Reed & Mackay, Trip.com, TripAdvisor
Three alternatives
Ramp, Routespring, SAP ConcurOne alternative
TravelPerkThree alternatives
Amex GBT Egencia, SAP Concur, TravelPerkTwo alternatives
Brex, ITILITEThree alternatives
Amex GBT Egencia, Ramp, SAP ConcurGLM 4.7 FlashXNavan, TravelPerkagainst: Amex GBT EgenciaNavanChangedno first choiceagainst: BrexBooking.com for Businessagainst: Amex GBT Egencia, Zoho Expenseno first choiceagainst: Booking.com for Business, Corporate Travel Management, Technoheaven TMS, TravelPerk, Travelopro, TripAdvisor, myBiz
Two alternatives
Ramp, SAP ConcurThree alternatives
Booking.com for Business, TravelBank, TravelPerkEight alternatives
American Express Global Business Travel, BCD Travel, CWT, Engine, Navan, Ramp, SAP Concur, TravelPerkThree alternatives
Engine, Navan, TravelPerkFour alternatives
Engine, Lola.com, Navan, SAP ConcurMiniMax M2.5Navan, TravelPerkagainst: SAP ConcurNavanChangedSAP ConcurEngineno first choiceagainst: Amex GBT Egencia, Navan, myBiz
One alternative
SpotnanaThree alternatives
Booking.com for Business, Expensify Travel, TravelPerkThree alternatives
Amex GBT Egencia, Navan, TravelPerkTwo alternatives
Ramp, TravelPerkGPT-6 LunaNavanNavanHeldno first choiceNavanno first choiceagainst: Navan, Spotnana, TravelPerk
Two alternatives
Ramp, TravelPerkThree alternatives
Ramp, SAP Concur, TravelPerkSeven alternatives
American Express Global Business Travel, Amex GBT Egencia, BCD Travel, Navan, SAP Concur, Spotnana, TravelPerkOne alternative
Booking.com for BusinessMuse Glimmer 30BNavan, formerly TripActionsNavanChangedSAP ConcurBooking.com for Business, Perk, formerly TravelPerkNavanagainst: Amex GBT Egencia, Navan, TripWorks, myBiz
Four alternatives
Booking.com for Business, Ramp, SAP Concur, TravelPerkTwo alternatives
Ramp, SAP ConcurFive alternatives
Amex GBT Egencia, Brex, Navan, formerly TripActions, Ramp, TravelPerkTwo alternatives
Navan, formerly TripActions, RampThree alternatives
Amex GBT Egencia, SAP Concur, TravelPerkBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:09 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:05 | yes | 5 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:39 | yes | 23 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:35 | yes | 19 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:20 | yes | 24 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:43 | yes | 12 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:03 | yes | 19 | 35 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:23 | yes | 6 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:06 | yes | 5 | 15 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:07 | yes | 19 | 31 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:11 | yes | 22 | 30 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:54 | yes | 10 | 26 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:39 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:07 | yes | 14 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:11 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:14 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:40 | yes | 15 | 28 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:14 | yes | 20 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:27 | yes | 24 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:13 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:59 | yes | 20 | 27 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:06 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:53 | no | 0 | 27 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:31 | yes | 15 | 14 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:22 | yes | 23 | 30 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:16 | yes | 10 | 17 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:10 | yes | 3 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:25 | yes | 11 | 25 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:00 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:34 | yes | 5 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:22 | yes | 18 | 32 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:23 | yes | 18 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:20 | yes | 22 | 7 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:00 | yes | 5 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:01 | yes | 24 | 38 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:55 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:44 | yes | 5 | 20 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:45 | yes | 15 | 23 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:47 | yes | 23 | 28 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:34 | yes | 15 | 27 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:01 | yes | 6 | 32 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:57 | yes | 13 | 35 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:55 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:08 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:00 | yes | 13 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:12 | yes | 18 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:29 | yes | 23 | 6 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:34 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:09 | yes | 24 | 32 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:11 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:41 | yes | 14 | 31 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:50 | yes | 10 | 15 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:28 | yes | 23 | 69 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:22 | yes | 14 | 27 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:39 | yes | 2 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:50 | yes | 24 | 43 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:45 | no | 0 | 8 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:34 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:42 | yes | 12 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:19 | yes | 16 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:34 | yes | 14 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:07 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:40 | yes | 22 | 43 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:08 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:33 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:20 | yes | 10 | 33 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:00 | yes | 13 | 38 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:28 | yes | 9 | 24 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:21 | yes | 2 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:54 | yes | 13 | 33 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:35 | yes | 18 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:25 | yes | 5 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:05 | yes | 11 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:48 | yes | 18 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:54 | yes | 24 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:39 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:12 | yes | 25 | 31 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:22 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:57 | yes | 15 | 39 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:43 | yes | 24 | 25 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:12 | yes | 24 | 27 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:19 | yes | 5 | 21 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:11 | yes | 3 | 15 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:46 | yes | 20 | 34 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
BCD read as BCD Travel
Booking.com read as Booking.com for Business
Corporate Traveller read as Corporate Traveler
Expedia read as Expedia for Business
Expensify read as Expensify Travel
Otto read as Otto the Agent
Perk read as TravelPerk
Perk (Formerly TravelPerk) read as TravelPerk
Perk (formerly TravelPerk) read as TravelPerk
Rippling read as Rippling Travel
Unresolved, counted raw
ADTRAV Travel Management
Airbnb
Booking.com Business Travel
Gate 1 Travel
GetGoing
GetGoing Travel
Global Travel International
Goodwings
Happay
Kiwi.com
Opodo / Opodo Prime
Technoheaven TMS
Tipalti Expense
Trafalgar Tours
Travelopro
Vrbo
mytrip.com / MyTrip
Discontinued, still offered
No shut-down product was recommended here.