Corporate travel management for enterprise buyers
Asked as “corporate travel booking platform”, and as “business travel management tool”, on behalf of an enterprise B2B company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
46%
Clear leader
46SAP Concur28Navan10Amex GBT Egencia16others
46% of first choices, clear leader.
Since September 2026=heldSince September 2026: 48% → 48%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.SAP Concur held the lead, ±0 points on 48%, 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.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.This page
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.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.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01SAP Concur46%17%69endorsed leader=heldSince September 2026: 48% → 48%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.48% → 48%
SAP Concur46%17%69endorsed leader=heldSince September 2026: 48% → 48%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.48% → 48%02Navan28%12%67accepted challenger=heldSince September 2026: 28% → 29%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.28% → 29%
Navan28%12%67accepted challenger=heldSince September 2026: 28% → 29%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.28% → 29%03
Amex GBT Egencia10%9%43accepted challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 7%
Amex GBT Egencia10%9%43accepted challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 7%04
American Express Global Business Travel6%23%26accepted challenger▲+1Since September 2026: 7% → 7%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 7%
American Express Global Business Travel6%23%26accepted challenger▲+1Since September 2026: 7% → 7%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 7%05
Ramp4%13%15accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 2%
Ramp4%13%15accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 2%06
ITILITE2%0%11accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
ITILITE2%0%11accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%07
Spotnana2%8%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Spotnana2%8%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%Show the four products at 0%, ordered by negative rate
11
Booking.com for Business0%54%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Booking.com for Business0%54%13criticized 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
TravelPerk0%26%42criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
TravelPerk0%26%42criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%10
CWT0%25%16criticized 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%25%16criticized 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
BCD Travel0%20%20accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
BCD Travel0%20%20accepted 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 →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01SAP Concur46%
SAP Concur46%02Navan28%
Navan28%03Amex GBT Egencia10%
Amex GBT Egencia10%04American Express Global Business Travel6%
American Express Global Business Travel6%05Ramp4%
Ramp4%06ITILITE2%
ITILITE2%07Spotnana2%
Spotnana2%08TravelPerk0%
TravelPerk0%09BCD Travel0%
BCD Travel0%10CWT0%
CWT0%11Booking.com for Business0%
Booking.com for Business0%What they warned about
Four of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5, GPT-6 Luna 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 Concur17%
12 of 69 labels negative · 10 of 14 models · 3 hard negative
“Platforms to Avoid for Predictable Costs | SAP Concur | Per-transaction + per-user + per-expense-report fees” Kimi K2, budget prompt
TravelPerk26%
11 of 42 labels negative · 9 of 14 models · 1 hard negative
“What to Avoid: **Percentage-based pricing** (like Perk's 3-5% per booking)” MiniMax M2.5, budget prompt
Navan12%
8 of 67 labels negative · 8 of 14 models · 1 hard negative
“**Avoid** Navan if you have complex global routes, heavy international travel, or require guaranteed live-agent support during disruptions.” DeepSeek V4 Flash, negative prompt
Booking.com for Business54%
7 of 13 labels negative · 7 of 14 models · 3 hard negative
“These platforms can be acceptable for ad‑hoc or small‑scale bookings, but they should **not** be the core corporate travel platform for a large enterprise.” GLM 4.7 FlashX, 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. 1109 links across 191 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 · Navan63 answers · 127 citations · 14 models
vendor site · Otto the Agent39 answers · 55 citations · 12 models
vendor site · Ramp36 answers · 49 citations · 12 models
vendor site · Perk34 answers · 43 citations · 12 models
vendor site · G230 answers · 31 citations · 11 models
vendor site · G229 answers · 42 citations · 12 models
vendor site · Booking.com27 answers · 41 citations · 12 models
vendor site · Brex27 answers · 34 citations · 11 models
vendor site · Engine25 answers · 33 citations · 11 models
23 answers · 23 citations · 11 models
vendor site · ITILITE22 answers · 31 citations · 11 models
20 answers · 35 citations · 12 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.
32 answers · 11 models
28 answers · 11 models
25 answers · 11 models
23 answers · 11 models
16 answers · 8 models
15 answers · 7 models
15 answers · 9 models
15 answers · 7 models
14 answers · 8 models
13 answers · 7 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 |
|---|---|---|---|---|---|---|---|---|
| SAP Concur sap.com | 46% | 414 | 74,000 | 502 | 2,214,514 | $1,251 | 23 | |
| Navan navan.com Navan 28%, Navan, formerly TripActions 0% | 28% | 306 | 110,000 | 1,342 | 175,958 | $2,716 | 120 | 2 |
| Amex GBT Egencia egencia.com | 10% | 90 | 170 | 5 | 16,426 | 0 | 1 | |
| American Express americanexpress.com American Express Global Business Travel 6% | 6% | 39 | 3,350,000 | 23,185 | 22,105,127 company | $20,307 | 119 | |
| Ramp ramp.com | 4% | 1042 | 246,000 | 49,733 | 770,056 | $13,511 | 120 | |
| ITILITE itilite.com | 2% | 25 | 880 | 12 | 29,741 | $121 | 7 | |
| Spotnana spotnana.com | 2% | 28 | 6,600 | 75 | 3,459 | 1 | ||
| Routespring routespring.com | 2% | 11 | 320 | 1 | 674 | |||
| TravelPerk perk.com | 0% | 156 | 5,400 | 113 | 37,067 | 80 | 8 | |
| BCD bcdtravel.com BCD Travel 0% | 0% | 39 | 9,900 | 224 | 41,942 | 16 | 7 |
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 an enterprise B2B company?”Paraphrase“Which business travel management tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade travel management platforms and how do they differ?”Budget-constrained“What is the best corporate travel booking platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a corporate travel booking platform. What should we look at?”Negative“Which travel management platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5SAP ConcurSAP ConcurHeldNavan, SAP ConcurSAP Concurno first choiceagainst: Navan, TravelBank, myBiz
Two alternatives
Amex GBT Egencia, NavanTwo alternatives
American Express Global Business Travel, NavanOne alternative
Amex GBT EgenciaTwo alternatives
Amex GBT Egencia, NavanGPT-5.4 miniSAP Concuragainst: TravelPerkNavanChangedagainst: American Express Global Business Travel, Amex GBT Egencia, TravelPerkSAP ConcurSAP Concurno first choiceagainst: CWT, Corporate Travel Management, Corporate Traveler, Navan
Three alternatives
American Express Global Business Travel, Amex GBT Egencia, NavanOne alternative
SAP ConcurThree alternatives
Amex GBT Egencia, Navan, TravelPerkTwo alternatives
Amex GBT Egencia, NavanGemini 3.5 FlashNavanNavanHeldno first choiceITILITE, Spotnanano first choiceagainst: BILL Spend & Expense, Booking.com for Business, Brex, Expedia TAAP, Expensify Travel, Navan, Ramp, SAP Concur, TravelPerk
Four alternatives
American Express Global Business Travel, Amex GBT Egencia, SAP Concur, SpotnanaThree alternatives
Amex GBT Egencia, SAP Concur, TravelPerkThree alternatives
Navan, Ramp, TravelPerkPerplexity SonarSAP Concuragainst: Booking.com for BusinessSAP ConcurHeldSAP Concuragainst: TravelPerkSAP Concuragainst: Expensify Travel, TravelPerkno first choicenothing named
One alternative
NavanOne alternative
NavanSix alternatives
Amex GBT Egencia, BCD Travel, CWT, ITILITE, Navan, SpotnanaTwo alternatives
Booking.com for Business, BrexGrok 4.1 FastNavan, SAP ConcurSAP ConcurChangedNavanSAP Concuragainst: Ramp, TravelPerkno first choiceagainst: American Express Global Business Travel, Amex GBT Egencia, BCD Travel, CTM Travel, Navan, SAP Concur
One alternative
Amex GBT EgenciaTwo alternatives
Navan, TravelPerkThree alternatives
Amex GBT Egencia, SAP Concur, TravelPerkOne alternative
NavanMistral SmallNavanagainst: Booking.com for BusinessAmex GBT EgenciaChangedSAP ConcurSAP Concurno first choiceagainst: American Express Global Business Travel, Navan, SAP Concur, Spotnana, TravelPerk
Two alternatives
SAP Concur, TravelPerkFour alternatives
BCD Travel, CWT, Navan, SAP ConcurFour alternatives
Amadeus Cytric, American Express Global Business Travel, Amex GBT Egencia, NavanTwo alternatives
Brex, NavanDeepSeek V4 FlashNavanSAP ConcurChangedno first choiceAmex GBT Egencia, Navanagainst: SAP Concur, TravelPerkno first choiceagainst: Amex GBT Egencia, Expensify Travel, Navan, SAP Concur
Two alternatives
SAP Concur, TravelPerkTwo alternatives
Amex GBT Egencia, NavanSeven alternatives
American Express Global Business Travel, BCD Travel, ITILITE, Navan, SAP Concur, Spotnana, TravelPerkLlama 4 Maverickno first choiceAmerican Express Global Business Travel, RoutespringChangedAmerican Express Global Business Travel, SAP ConcurAmex GBT Egencia, Navan, SAP Concurno first choiceagainst: SAP Concur
One alternative
RampQwen 3.7 FlashSAP ConcurAmerican Express Global Business TravelChangedSAP ConcurAmerican Express Global Business Travelno first choiceagainst: Booking.com for Business, Expedia Corporate Traveller, Expensify Travel, Fyle, Payhawk, SAP Concur, Skyscanner Business, Trip Actions/Navan
Two alternatives
Navan, TravelPerkThree alternatives
BCD Travel, Cvent, NavanThree alternatives
American Express Global Business Travel, Emburse, NavanThree alternatives
BCD Travel, CWT, NavanKimi K2NavanSAP ConcurChangedno first choiceNavanagainst: American Express Global Business Travel, CWT, SAP Concurno first choiceagainst: American Express Global Business Travel, Amex GBT Egencia, BCD Travel, CWT, Navan, SAP Concur
Three alternatives
Amex GBT Egencia, SAP Concur, TravelPerkOne alternative
NavanTwo alternatives
ITILITE, TravelPerkGLM 4.7 FlashXSAP ConcurSAP ConcurHeldAmex GBT Egencia, SAP ConcurRampagainst: SAP Concurno first choiceagainst: Booking.com for Business, Expedia Corporate, Hotels.com, Hotwire, KAYAK for Business, Orbitz, Priceline, Travelocity, TripAdvisor
Eight alternatives
Amex GBT Egencia, BCD Travel, CWT, Engine, ITILITE, Navan, Ramp, TravelPerkTwo alternatives
Amex GBT Egencia, NavanFive alternatives
BCD Travel, Navan, Ramp, Spotnana, TravelPerkTwo alternatives
Navan, TravelPerkMiniMax M2.5NavanNavan, SAP ConcurChangedSAP ConcurSAP Concuragainst: TravelPerkno first choiceagainst: BCD Travel, Booking.com for Business, Navan
Three alternatives
Booking.com for Business, SAP Concur, TravelPerkOne alternative
American Express Global Business TravelThree alternatives
Amex GBT Egencia, Navan, TravelPerkTwo alternatives
Engine, ITILITEGPT-6 LunaNavanSAP ConcurChangedno first choiceAmex GBT Egenciano first choiceagainst: TravelPerkagainst: American Express Global Business Travel, CWT, Legacy SAP Travel Management / FI-TV, SAP Concur
Three alternatives
Amex GBT Egencia, SAP Concur, TravelPerkTwo alternatives
Amex GBT Egencia, NavanSeven alternatives
American Express Global Business Travel, BCD Travel, FCM Travel, Navan, SAP Concur, Spotnana, TravelPerkThree alternatives
Navan, SAP Concur, SpotnanaThree alternatives
Amex GBT Egencia, Navan, SAP ConcurMuse Glimmer 30BAmex GBT Egencia, Navan, SAP ConcurSAP ConcurChangedSAP ConcurRampagainst: SAP Concurno first choiceagainst: BCD Travel, Booking.com for Business, Corporate Travel Management, TravelPerk
One alternative
NavanFour alternatives
American Express Global Business Travel, Amex GBT Egencia, Navan, formerly TripActions, TravelPerkOne alternative
NavanBold 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 10:56 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:24 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:04 | yes | 17 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:26 | yes | 18 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:24 | yes | 24 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:52 | yes | 13 | 10 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:43 | yes | 25 | 27 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:42 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:41 | yes | 12 | 42 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:48 | yes | 15 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:38 | yes | 24 | 75 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:51 | yes | 5 | 16 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:16 | yes | 4 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:19 | yes | 15 | 25 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:42 | yes | 10 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:29 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:26 | yes | 15 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:56 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:40 | yes | 24 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:08 | no | 0 | 7 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:21 | yes | 19 | 14 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:31 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:32 | no | 0 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:38 | yes | 20 | 16 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:08 | yes | 24 | 161 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:46 | yes | 13 | 38 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:12 | yes | 2 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:49 | yes | 14 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:38 | yes | 15 | 20 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:23 | yes | 7 | 14 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:51 | yes | 20 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:16 | yes | 19 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:21 | yes | 21 | 15 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:27 | yes | 19 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:25 | yes | 20 | 52 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:35 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:51 | yes | 10 | 39 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:14 | yes | 18 | 31 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:34 | yes | 18 | 40 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:36 | yes | 13 | 22 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:38 | yes | 8 | 31 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:53 | yes | 14 | 31 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:56 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:13 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:40 | yes | 17 | 34 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:15 | yes | 19 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:58 | yes | 22 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:07 | yes | 5 | 2 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:17 | yes | 24 | 23 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:17 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:27 | no | 0 | 27 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:54 | yes | 24 | 33 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:31 | yes | 25 | 139 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:21 | yes | 17 | 44 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:06 | yes | 4 | 21 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:52 | yes | 22 | 32 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:18 | yes | 18 | 11 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:06 | yes | 3 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:28 | yes | 13 | 32 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:49 | yes | 19 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:05 | yes | 15 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:37 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:56 | no | 0 | 19 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:49 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:37 | yes | 5 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:02 | yes | 13 | 54 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:37 | yes | 20 | 53 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:59 | yes | 10 | 15 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:48 | yes | 6 | 38 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:22 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:17 | yes | 17 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:29 | yes | 3 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:42 | yes | 16 | 30 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:37 | yes | 17 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:14 | yes | 25 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:08 | yes | 14 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:38 | yes | 23 | 52 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:12 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:38 | yes | 10 | 67 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:50 | yes | 24 | 32 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:12 | yes | 15 | 114 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:16 | yes | 10 | 31 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:57 | yes | 3 | 27 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:49 | yes | 25 | 32 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
Expensify read as Expensify Travel
Kayak read as KAYAK for Business
Otto read as Otto the Agent
Perk read as TravelPerk
Perk (TravelPerk) read as TravelPerk
Perk (formerly TravelPerk) read as TravelPerk
Rippling read as Rippling Travel
Unresolved, counted raw
Airbnb for Work
CTM Travel
Cvent
Expedia Corporate
Expedia Corporate Traveller
Expedia Group
Expedia TAAP
Hotels.com
Legacy SAP Travel Management / FI-TV
Orbitz
Skyscanner Business
Travelocity
Trip Actions/Navan
Discontinued, still offered
No shut-down product was recommended here.