Index › Finance › Spend and procurement › Corporate travel managem › Enterprise · September 2026 Edition
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. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
48%
Clear leader
48SAP Concur28Navan07American Express Global Business Travel17others
48% of first choices, clear leader.
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.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All six head-to-head pages: the top four 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 →
01
02
03
04
05
06
07
08
09
10Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01SAP Concur48%
SAP Concur48%02Navan28%
Navan28%03American Express Global Business Travel7%
American Express Global Business Travel7%04Amex GBT Egencia4%
Amex GBT Egencia4%05Ramp4%
Ramp4%06TravelPerk2%
TravelPerk2%07BCD Travel2%
BCD Travel2%08Brex2%
Brex2%09Spotnana0%
Spotnana0%10CWT0%
CWT0%What they warned about
Three of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2 and MiniMax M2.5 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 Concur23%
14 of 60 labels negative · 7 of 12 models · 2 hard negative
“The user experience is notoriously bad, with the platform being clunky, slow, and unintuitive, which leads to very low employee adoption” Claude Haiku 4.5, negative prompt
TravelPerk30%
11 of 37 labels negative · 7 of 12 models · 2 hard negative
“Per-booking-percentage models (TravelPerk's tiered fees) make total cost scale unpredictably” DeepSeek V4 Flash, budget prompt
Navan14%
8 of 58 labels negative · 7 of 12 models · 1 hard negative
“High Caution/Avoid: Navan (formerly TripActions) ... Not scalable for pros with intricate routing; better for SMBs/startups.” Grok 4.20, negative prompt
American Express Global Business Travel23%
6 of 26 labels negative · 5 of 12 models · 1 hard negative
“Trustpilot rating: 1.4/5 (based on 46 reviews) - Common complaints include: Booking changes, downgrades, and validation issues without quick fixes” MiniMax M2.5, negative prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
68 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 1058 links across 225 sites, every framing counted. Ranked by the number of answers carrying the site or page.
vendor site · Otto the Agent46 answers · 63 citations · 11 models
vendor site · Navan45 answers · 83 citations · 12 models
41 answers · 54 citations · 10 models
vendor site · G235 answers · 35 citations · 11 models
vendor site · Engine32 answers · 43 citations · 10 models
vendor site · Routespring28 answers · 37 citations · 11 models
vendor site · Brex23 answers · 25 citations · 9 models
vendor site · Perk21 answers · 31 citations · 11 models
19 answers · 34 citations · 10 models
vendor site · Ramp17 answers · 17 citations · 8 models
vendor site · Worldmetrics16 answers · 28 citations · 8 models
vendor site · ITILITE16 answers · 24 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.
41 answers · 10 models
35 answers · 11 models
24 answers · 10 models
18 answers · 9 models
18 answers · 9 models
15 answers · 7 models
14 answers · 10 models
13 answers · 8 models
12 answers · 5 models
12 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 |
|---|---|---|---|---|---|---|---|---|
| SAP Concur sap.com | 48% | 414 | 74,000 | 502 | 2,214,514 | $1,251 | 23 | |
| Navan navan.com | 28% | 329 | 110,000 | 1,342 | 175,958 | $2,716 | 120 | 2 |
| American Express americanexpress.com American Express Global Business Travel 7% | 7% | 38 | 3,350,000 | 23,185 | 22,105,127 company | $20,307 | 119 | |
| Amex GBT Egencia egencia.com | 4% | 80 | 170 | 5 | 16,426 | 0 | 1 | |
| Ramp ramp.com | 4% | 916 | 246,000 | 49,733 | 770,056 | $13,511 | 120 | |
| Perk perk.com TravelPerk 2% | 2% | 154 | 5,400 | 113 | 37,067 company | 80 | 8 | |
| BCD bcdtravel.com BCD Travel 2% | 2% | 50 | 9,900 | 224 | 41,942 | 16 | 7 | |
| ITILITE itilite.com | 2% | 23 | 880 | 12 | 29,741 | $121 | 7 | |
| Brex brex.com | 2% | 524 | 60,500 | 1,190 | 328,914 | $12,238 | 81 | |
| Spotnana spotnana.com | 0% | 43 | 6,600 | 75 | 3,459 | 1 |
Google's top ten for the three searches hold 14 sites; 5 of them are among the sites the models cited here (engine.com, gartner.com, learn.g2.com, navan.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 4.5Navanagainst: TravelPerkSAP ConcurChangedNavanSAP Concurno first choiceagainst: American Express Global Business Travel, CWT, SAP Concur
One alternative
SAP ConcurTwo alternatives
Amex GBT Egencia, NavanThree alternatives
Amex GBT Egencia, SAP Concur, TravelPerkTwo alternatives
Navan, RampGPT-5.4 miniNavanSAP ConcurChangedNavan, SAP ConcurSAP Concurno first choiceagainst: CWT, Clarity Business Travel, Corporate Travel Management, Navan, TravelPerk
Three alternatives
Amex GBT Egencia, Deem, SAP ConcurOne alternative
NavanThree alternatives
AmTrav, BCD Travel, TravelPerkOne alternative
NavanGemini 3.5 FlashAmerican Express Global Business Travel, NavanNavanChangedno first choiceagainst: American Express Global Business Travel, Navan, SAP ConcurBrex, Rampagainst: American Express Global Business Travel, BCD Travel, SAP Concurno first choiceagainst: BILL Spend & Expense, Brex, Expensify Travel, Navan, Ramp, SAP Concur, TravelBank, TravelPerk, Zoho Expense
Two alternatives
SAP Concur, SpotnanaThree alternatives
"Complete" by SAP Concur & Amex GBT, Spotnana, TravelPerkFour alternatives
ITILITE, Navan, Spotnana, TravelPerkPerplexity SonarSAP ConcurSAP ConcurHeldSAP ConcurITILITE, SAP Concuragainst: Engineno first choiceagainst: Booking.com for Business, Brex, Expensify Travel, Navan, Ramp, TravelPerk
Two alternatives
Navan, TravelPerkOne alternative
NavanFive alternatives
Amex GBT Egencia, Navan, Ramp, Spotnana, TravelPerkGrok 4.20American Express Global Business Travel, Navan, SAP ConcurSAP ConcurChangedNavan, SAP Concuragainst: CWT, CoupaSAP Concuragainst: BCD Travel, CWT, TravelPerkno first choiceagainst: American Express Global Business Travel, BCD Travel, Booking.com for Business, Navan, SAP Concur, Spotnana, TravelPerk
Three alternatives
Brex, Ramp, TravelPerkTwo alternatives
American Express Global Business Travel, NavanTwo alternatives
American Express Global Business Travel, BCD TravelTwo alternatives
American Express Global Business Travel, NavanTwo alternatives
Navan, SAP ConcurMistral SmallSAP Concuragainst: Amex GBT Egenciano first choiceChangedno first choiceagainst: Amex GBT Egencia, SAP ConcurNavanagainst: BCD Travel, SAP Concurno first choiceagainst: American Express Global Business Travel, CWT, Expensify Travel, SAP Concur, Zoho Expense
Two alternatives
Navan, TravelPerkOne alternative
TravelPerkDeepSeek V4 FlashNavanSAP ConcurChangedAmerican Express Global Business Travel, Navan, SAP ConcurNavanagainst: SAP Concur, TravelPerkno first choiceagainst: Amex GBT Egencia, Corporate Travel Management, Navan, SAP Concur, Spotnana, TravelPerk, myBiz
Two alternatives
Amex GBT Egencia, SAP ConcurThree alternatives
American Express Global Business Travel, Navan, TravelPerkFive alternatives
BCD Travel, CWT, FCM Travel, Spotnana, TravelPerkTwo alternatives
Expensify Travel, ITILITELlama 4 MaverickSAP ConcurSAP ConcurHeldSAP ConcurAmex GBT Egenciano first choicenothing named
Two alternatives
Roomex, Zoho ExpenseThree alternatives
Amex GBT Egencia, Brex, RoutespringFour alternatives
Amadeus Cytric, Amex GBT Egencia, Navan, TravelPerkTwo alternatives
AmTrav, NavanQwen 3.7 FlashNavanSAP ConcurChangedAmerican Express Global Business TravelSAP ConcurNavan, TravelPerkagainst: Amex GBT Egencia, SAP Concuragainst: SAP Concur
Four alternatives
American Express Global Business Travel, BCD Travel, SAP Concur, SpotnanaTwo alternatives
American Express Global Business Travel, NavanFour alternatives
BCD Travel, Navan, SAP Concur, SpotnanaThree alternatives
American Express Global Business Travel, CWT, NavanOne alternative
American Express Global Business TravelKimi K2American Express Global Business Travel, BCD TravelNavan, SAP ConcurChangedno first choiceNavanagainst: SAP Concurno first choiceagainst: Amex GBT Egencia, BCD Travel, SAP Concur
Four alternatives
Amex GBT Egencia, CWT, Navan, SAP ConcurOne alternative
Amex GBT EgenciaFive alternatives
Amex GBT Egencia, BCD Travel, Navan, SAP Concur, SpotnanaThree alternatives
American Express Global Business Travel, BCD Travel, TravelPerkGLM 4.7 FlashXSAP ConcurSAP ConcurHeldAmerican Express Global Business Travel, BCD TravelSAP Concurno first choiceagainst: BCD Travel, Brex, CWT, Navan, Ramp
Four alternatives
Amex GBT Egencia, CWT, Navan, TravelPerkTwo alternatives
Amex GBT Egencia, NavanFive alternatives
Coupa, Direct Travel, Navan, SAP Concur, TravelPerkTwo alternatives
Engine, SpotnanaMiniMax M2.5NavanAmex GBT Egencia, SAP ConcurChangedNavanagainst: Amex GBT EgenciaRampagainst: TravelPerkSAP Concuragainst: TravelPerkagainst: American Express Global Business Travel, Navan, TravelPerk
One alternative
DeemThree alternatives
AmTrav, Brex, NavanFour alternatives
American Express Global Business Travel, SAP Concur, Spotnana, TravelPerkThree alternatives
Brex, ITILITE, SAP ConcurThree alternatives
Amadeus Cytric, Amex GBT Egencia, 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.
Seventy-two 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 | 2026-09-17 18:32 | yes | 17 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:18 | yes | 3 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:00 | yes | 16 | 32 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 21:07 | yes | 20 | 6 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:34 | yes | 34 | 18 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:21 | yes | 9 | 8 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:10 | yes | 15 | 22 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:07 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:50 | yes | 8 | 40 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 17:54 | yes | 15 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:02 | yes | 14 | 24 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:22 | yes | 5 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 17:54 | yes | 9 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:46 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:06 | yes | 19 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 19:35 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:34 | yes | 37 | 18 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:17 | no | 0 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:14 | yes | 11 | 15 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:03 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:14 | yes | 9 | 39 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 17:57 | yes | 9 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:22 | yes | 21 | 156 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:23 | yes | 5 | 13 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:42 | yes | 9 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:46 | yes | 5 | 16 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 20:10 | yes | 19 | 26 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 18:58 | yes | 20 | 11 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:38 | yes | 32 | 17 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:37 | yes | 15 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:39 | yes | 19 | 26 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:48 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:14 | yes | 5 | 19 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:06 | yes | 14 | 84 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:26 | yes | 28 | 46 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:22 | yes | 14 | 40 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 18:02 | yes | 17 | 12 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:21 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:50 | yes | 18 | 26 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 18:10 | yes | 20 | 6 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:54 | yes | 40 | 17 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:05 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:18 | yes | 17 | 18 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:49 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:47 | yes | 9 | 37 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:49 | yes | 14 | 30 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:11 | yes | 35 | 127 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:38 | yes | 19 | 71 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:17 | yes | 27 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:46 | yes | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:23 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 20:56 | yes | 16 | 10 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:44 | yes | 18 | 16 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:35 | no | 0 | 15 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:26 | yes | 29 | 37 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:39 | yes | 5 | 5 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:27 | yes | 10 | 37 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:01 | yes | 15 | 27 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:12 | yes | 20 | 82 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:03 | yes | 10 | 29 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 21:03 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:22 | yes | 6 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 21:53 | yes | 16 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 20:54 | yes | 20 | 7 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:46 | yes | 25 | 19 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:01 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 17:53 | yes | 24 | 38 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:37 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:32 | yes | 15 | 61 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:14 | yes | 30 | 33 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:19 | yes | 33 | 63 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:38 | yes | 14 | 26 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
BCD read as BCD Travel
BILL read as BILL Spend & Expense
Expensify read as Expensify Travel
FCM read as FCM Travel
Perk (formerly TravelPerk) read as TravelPerk
Unresolved, counted raw
"Complete" by SAP Concur & Amex GBT
Amex GBT Neo
Clarity Business Travel
Direct Travel
On Arrival
TripStax
mTrip
Discontinued, still offered
No shut-down product was recommended here.