Corporate travel management for small business buyers
Asked as “corporate travel booking platform”, and as “business travel management tool”, on behalf of a small B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
37%
Contested · TravelPerk 27%
37Navan27TravelPerk20Booking.com for Business16others
37% of first choices, contested.
Since September 2026▲+4Since September 2026: 33% → 36%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Navan held the lead, +4 points on 33%, 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.This pageMid-marketNavan53%Clear leader=heldSince September 2026: 51% → 51%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
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.This pageMid-marketNavan53%Clear leader=heldSince September 2026: 51% → 51%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseSAP 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 small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Navan37%15%65endorsed leader▲+4Since September 2026: 33% → 36%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.33% → 36%
Navan37%15%65endorsed leader▲+4Since September 2026: 33% → 36%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.33% → 36%02
TravelPerk27%10%62accepted challenger▲+11Since September 2026: 18% → 30%, +11 points. Past the 10-point floor: movement. Read over the models both editions asked.18% → 30%
TravelPerk27%10%62accepted challenger▲+11Since September 2026: 18% → 30%, +11 points. Past the 10-point floor: movement. Read over the models both editions asked.18% → 30%03
Booking.com for Business20%5%42accepted challenger=heldSince September 2026: 20% → 20%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.20% → 20%
Booking.com for Business20%5%42accepted challenger=heldSince September 2026: 20% → 20%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.20% → 20%04
Ramp8%0%39accepted challenger▲+1Since September 2026: 8% → 9%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 9%
Ramp8%0%39accepted challenger▲+1Since September 2026: 8% → 9%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 9%05
Engine4%0%17accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
Engine4%0%17accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%06
Rippling Travel2%10%10accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 2%
Rippling Travel2%10%10accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 2%Show the six products at 0%, ordered by negative rate
12SAP Concur0%75%32criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
SAP Concur0%75%32criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%10myBiz0%64%11criticized challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 0%
11
Amex GBT Egencia0%53%19criticized 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%53%19criticized 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
Expensify 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%
Expensify 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%07
Brex0%3%30accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
Brex0%3%30accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%08
TravelBank0%0%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
TravelBank0%0%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 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.
For buyers
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 →
010203040506070809m10
1112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Navan37%
Navan37%02TravelPerk27%
TravelPerk27%03Booking.com for Business20%
Booking.com for Business20%04Ramp8%
Ramp8%05Engine4%
Engine4%06Rippling Travel2%
Rippling Travel2%07Brex0%
Brex0%08TravelBank0%
TravelBank0%09Expensify Travel0%
Expensify Travel0%10myBiz0%
11Amex GBT Egencia0%
Amex GBT Egencia0%12SAP Concur0%
SAP Concur0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, 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.
SAP Concur75%
24 of 32 labels negative · 12 of 14 models · 12 hard negative
“a small business should avoid or exercise extreme caution with platforms that fall into the following four categories: ### 1. Legacy Enterprise Giants (e.g., SAP Concur, Deem)” Gemini 3.5 Flash, negative prompt
Navan15%
10 of 65 labels negative · 9 of 14 models
“Strong product, but it's typically aimed at more travel-heavy organizations; verify pricing, support responsiveness, and whether the workflow complexity matches your team size.” GPT-5.4 mini, negative prompt
Amex GBT Egencia53%
10 of 19 labels negative · 8 of 14 models · 6 hard negative
“**SAP Concur** and **Egencia**, which are often a poor fit for smaller companies because cost and complexity can outweigh the benefits” Perplexity Sonar, negative prompt
BCD Travel89%
8 of 9 labels negative · 8 of 14 models · 6 hard negative
“**Large TMC-led service models** like **CWT** and **BCD Travel**, which are generally oriented toward larger accounts and may be hard for a small business to justify” Perplexity Sonar, 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
76 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. 1014 links across 123 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 · Navan48 answers · 82 citations · 14 models
vendor site · Perk47 answers · 71 citations · 13 models
vendor site · Otto the Agent45 answers · 85 citations · 12 models
vendor site · G244 answers · 84 citations · 12 models
vendor site · Ramp39 answers · 51 citations · 14 models
vendor site · Booking.com36 answers · 82 citations · 12 models
vendor site · BILL29 answers · 37 citations · 11 models
vendor site · Brex28 answers · 34 citations · 12 models
vendor site · G228 answers · 28 citations · 12 models
26 answers · 26 citations · 10 models
vendor site · Rippling20 answers · 22 citations · 8 models
vendor site · Expensify18 answers · 19 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
27 answers · 11 models
26 answers · 10 models
25 answers · 12 models
24 answers · 11 models
23 answers · 10 models
19 answers · 7 models
18 answers · 10 models
17 answers · 7 models
17 answers · 10 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 37%, Navan, formerly TripActions 2% | 39% | 306 | 110,000 | 1,342 | 175,958 | $2,716 | 120 | 2 |
| TravelPerk perk.com TravelPerk 27%, Perk, formerly TravelPerk 0% | 27% | 156 | 5,400 | 113 | 37,067 | 80 | 8 | |
| Booking.com booking.com Booking.com for Business 20% | 20% | 80 | 390 | 18 | 64,051,598 company | $961,327 | 119 | 3 |
| Ramp ramp.com | 8% | 1042 | 246,000 | 49,733 | 770,056 | $13,511 | 120 | |
| Engine engine.com | 4% | 30 | 90,500 | 1,465,204 | 141,924 | $4,510 | 120 | 1 |
| Rippling rippling.com Rippling Travel 2% | 2% | 13 | 301,000 | 17,886 | 712,399 company | $42,013 | 115 | 3 |
| Brex brex.com | 0% | 640 | 60,500 | 1,190 | 328,914 | $12,238 | 81 | |
| TravelBank travelbank.com | 0% | 25 | 6,600 | 328 | 7,291 | 0 | ||
| Expensify expensify.com Expensify Travel 0% | 0% | 19 | 74,000 | 932 | 76,291 company | 0 | ||
| Corporate Traveler corporatetraveler.us | 0% | 14 | 2,900 | 739 | 8,971 | 88 |
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, learn.g2.com, navan.com, oncehub.com, perk.com, rippling.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 small B2B company?”Paraphrase“Which business travel management tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top travel management platforms for a small team and how do they differ?”Budget-constrained“What is the best corporate travel booking platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a corporate travel booking platform. What should we look at?”Negative“Which travel management platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5TravelPerkRippling TravelChangedRippling Travelagainst: SAP ConcurRampno first choiceagainst: Navan, SAP Concur, Spotnana, TravelPerk
Four alternatives
Brex, Engine, Rippling Travel, TravelBankThree alternatives
Booking.com for Business, Brex, TravelBankFive alternatives
Booking.com for Business, Brex, Engine, Navan, TravelPerkTwo alternatives
Engine, TravelPerkGPT-5.4 miniNavanTravelPerkChangedagainst: SAP ConcurNavanTravelPerkno first choiceagainst: Amex GBT Egencia, Navan, TravelPerk
Two alternatives
Corporate Traveler, TravelPerkTwo alternatives
Amex GBT Egencia, NavanThree alternatives
Brex, Ramp, TravelPerkTwo alternatives
Book for Work, Corporate TravelerGemini 3.5 FlashNavanTravelPerkChangedTravelPerkBooking.com for Business, RampTravelPerkagainst: American Express Global Business Travel, BCD Travel, Booking.com for Business, Corporate Travel Management, Deem, Expedia for Business, KAYAK for Business, SAP Concur
Five alternatives
Booking.com for Business, Brex, Engine, Ramp, TravelPerkThree alternatives
Brex, Navan, RampFive alternatives
Booking.com for Business, Brex, Navan, Ramp, Rippling TravelTwo alternatives
Navan, TravelPerkFour alternatives
Brex, Navan, Ramp, Rippling TravelPerplexity SonarTravelPerkTravelPerkHeldno first choiceBooking.com for Businessagainst: Corporate Travelerno first choiceagainst: Amex GBT Egencia, BCD Travel, CWT, SAP Concur
Four alternatives
Booking.com for Business, Brex, Navan, RampFour alternatives
BILL Spend & Expense, Booking.com for Business, Corporate Traveler, TravelBankEight alternatives
Booking.com for Business, Brex, Expensify Travel, Navan, Rippling Travel, TravelBank, TravelPerk, myBizThree alternatives
Expensify Travel, Ramp, Rippling TravelGrok 4.1 FastNavanagainst: Amex GBT Egencia, SAP ConcurNavanHeldagainst: SAP ConcurNavan, TravelPerkagainst: SAP ConcurBooking.com for Businessagainst: SAP Concur, TravelPerkNavanagainst: Amex GBT Egencia, BCD Travel, CWT, Navan, SAP Concur, myBiz
Three alternatives
Booking.com for Business, Ramp, TravelPerkTwo alternatives
Booking.com for Business, TravelPerkFour alternatives
Amex GBT Egencia, Brex, Ramp, TravelBankFour alternatives
BILL Travel, Navan, Ramp, TravelPerkThree alternatives
Rippling Travel, TravelPerk, Zoho ExpenseMistral SmallNavan, TravelPerkno first choiceChangedBrex, NavanBooking.com for Businessno first choiceagainst: Navan, TravelPerk, TripWorks, myBiz
Two alternatives
Booking.com for Business, TravelBankThree alternatives
Amex GBT Egencia, Expensify Travel, SAP ConcurOne alternative
NavanDeepSeek V4 FlashNavanNavanHeldRampagainst: Amex GBT EgenciaNavanagainst: TravelPerkNavan, Ramp, TravelPerkagainst: SAP Concuragainst: Amex GBT Egencia, BCD Travel, Brex, CWT, Navan, SAP Concur, myBiz
Two alternatives
Ramp, TravelPerkTwo alternatives
Expensify Travel, TravelPerkThree alternatives
Brex, Navan, TravelPerkTwo alternatives
Booking.com for Business, RampTwo alternatives
Booking.com for Business, Expensify TravelLlama 4 MaverickNavanno first choiceChangedno first choiceno first choiceno first choicenothing named
Three alternatives
Booking.com for Business, TravelBank, TravelPerkQwen 3.7 FlashTravelPerkagainst: American Express Global Business TravelNavanChangedTravelPerkagainst: BCD Travel, CWT, NavanBooking.com for BusinessRampagainst: Concur Goagainst: Navan, SAP Concur, myBiz
Three alternatives
Chase Travel Bank, Expedia Corporate Travel, NavanThree alternatives
Expensify Travel, Pilot, WanderlayThree alternatives
Brex, Engine, RampThree alternatives
ITILITE, TravelPerk, Zoho ExpenseTwo alternatives
Circleship, NavanKimi K2Navanagainst: SAP ConcurNavanHeldagainst: Expensify TravelNavanagainst: SAP ConcurNavanNavan, TravelPerkagainst: SAP Concuragainst: American Express Global Business Travel, Amex GBT Egencia, BCD Travel, CWT, Navan, SAP Concur, myBiz
Four alternatives
Booking.com for Business, Brex, Ramp, TravelPerkOne alternative
TravelPerkFour alternatives
Booking.com for Business, Brex, Ramp, TravelPerkTwo alternatives
Booking.com for Business, TravelPerkTwo alternatives
Brex, RampGLM 4.7 FlashXBooking.com for BusinessBooking.com for BusinessHeldagainst: Rippling Travel, SAP ConcurNavan, TravelPerkBooking.com for Businessno first choiceagainst: Amex GBT Egencia, BCD Travel, CWT, Expedia for Business, Navan, SAP Concur, myBiz
Four alternatives
Expensify Travel, Navan, Ramp, myBizTwo alternatives
Navan, Otto the AgentFive alternatives
Amex GBT Egencia, Booking.com for Business, Brex, Otto the Agent, RampOne alternative
TravelPerkMiniMax M2.5Booking.com for BusinessTravelPerkChangedTravelPerkEngine, TravelPerkno first choiceagainst: Navanagainst: Amex GBT Egencia, BCD Travel, Booking.com for Business, CWT, Expedia for Business, KAYAK for Business, SAP Concur
Three alternatives
Corporate Traveler, Navan, TravelBankThree alternatives
Expensify Travel, Navan, Rippling TravelTwo alternatives
Brex, NavanTwo alternatives
Navan, RampTwo alternatives
Booking.com for Business, Corporate TravelerGPT-6 LunaNavanNavanHeldNavan, TravelPerkagainst: SAP ConcurNavanno first choiceagainst: SAP Concur, TravelPerk
Three alternatives
Ramp, SAP Concur, TravelPerkTwo alternatives
Ramp, TravelPerkTwo alternatives
Booking.com for Business, RampTwo alternatives
Ramp, TravelPerkMuse Glimmer 30BNavan, formerly TripActionsTravelPerkChangedNavan, Rampagainst: Expensify Travel, SAP ConcurBooking.com for Business, Engineno first choiceagainst: Amex GBT Egencia, Navan, formerly TripActions, SAP Concur, myBiz
Three alternatives
Booking.com for Business, Corporate Traveler, TravelPerkTwo alternatives
Booking.com for Business, NavanFive alternatives
BILL Spend & Expense, Booking.com for Business, Brex, Engine, Perk, formerly TravelPerkTwo alternatives
TravelBank, TravelPerkFour alternatives
Booking.com for Business, Expensify Travel, Navan, 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 10:04 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:22 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:54 | yes | 16 | 19 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:10 | yes | 17 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:41 | yes | 24 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:10 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:09 | yes | 21 | 40 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:32 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:01 | no | 0 | 26 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:54 | yes | 15 | 19 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:02 | yes | 18 | 27 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:56 | yes | 14 | 33 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:18 | yes | 4 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:39 | yes | 14 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:28 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:22 | yes | 0 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:44 | yes | 10 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:15 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:44 | yes | 20 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:38 | no | 0 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:17 | yes | 22 | 31 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:07 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:35 | no | 0 | 26 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:57 | yes | 20 | 21 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:55 | yes | 17 | 28 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:46 | yes | 5 | 22 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:31 | yes | 3 | 10 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:38 | yes | 15 | 31 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:36 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:21 | yes | 4 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:13 | yes | 23 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 07:45 | yes | 16 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:39 | yes | 20 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:34 | yes | 22 | 14 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:03 | yes | 19 | 29 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:58 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:14 | yes | 9 | 24 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:00 | yes | 15 | 25 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:42 | yes | 19 | 17 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:57 | yes | 13 | 16 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:31 | yes | 5 | 18 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:11 | yes | 15 | 26 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:00 | yes | 17 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:14 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:05 | yes | 18 | 23 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:29 | yes | 19 | 2 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:16 | yes | 24 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:12 | yes | 5 | 2 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:02 | yes | 25 | 31 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:24 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:51 | yes | 9 | 25 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:25 | yes | 14 | 18 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:40 | yes | 14 | 68 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:46 | yes | 13 | 20 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:06 | yes | 3 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:39 | yes | 14 | 30 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:50 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:36 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:50 | yes | 14 | 20 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:06 | yes | 19 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:19 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:35 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:26 | yes | 19 | 25 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:52 | yes | 5 | 1 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:21 | yes | 5 | 23 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:37 | yes | 19 | 26 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:22 | no | 0 | 13 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:28 | yes | 5 | 21 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:52 | yes | 2 | 15 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:04 | yes | 14 | 25 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:10 | yes | 9 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:43 | yes | 3 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:08 | yes | 22 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:29 | yes | 18 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:41 | yes | 22 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:44 | yes | 9 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:23 | yes | 23 | 45 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:44 | yes | 5 | 10 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:56 | yes | 14 | 30 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:14 | yes | 25 | 35 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:30 | yes | 23 | 27 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:23 | yes | 11 | 26 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:19 | yes | 2 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:15 | yes | 23 | 33 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
Amadeus read as Amadeus Cytric
Booking.com read as Booking.com for Business
Expedia read as Expedia for Business
Expensify read as Expensify Travel
Kayak read as KAYAK for Business
Otto read as Otto the Agent
Perk read as TravelPerk
Perk (Formerly TravelPerk) read as TravelPerk
Perk (formerly TravelBank) read as TravelPerk
Perk (formerly TravelPerk) read as TravelPerk
Rippling read as Rippling Travel
Unresolved, counted raw
BILL Travel
Book for Work
Chase Travel Bank
Circleship
Concur Go
Expedia Corporate Travel
Tripbizz
Wanderlay
Wanderlog
Wego Business
Discontinued, still offered
No shut-down product was recommended here.