Rebate management
Asked as “rebate management platform”, and as “trade rebate and incentive tracking software”, on behalf of a mid-market B2B company. 44 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
52%
Clear leader
52Enable16e-bate09Voucherify23others
52% 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 fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
Show the six products at 0%, ordered by negative rate
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 →
01
02
03
04
05
06
07
08
09
10
11Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Enable52%
Enable52%02e-bate16%
e-bate16%03Voucherify9%
Voucherify9%04incentX9%
incentX9%05Flintfox2%
Flintfox2%06IMA3600%
IMA3600%07Model N0%
Model N0%08360insights0%
360insights0%09Pricefx0%
Pricefx0%10Vendavo0%
Vendavo0%11Vistex0%
Vistex0%What they warned about
Nine of fourteen models held their first choice under the paraphrase. Perplexity Sonar, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash 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.
Vistex49%
22 of 45 labels negative · 10 of 14 models · 3 hard negative
“What to Avoid (Or Proceed with Caution) ... implementation costs, licensing fees, and technical debt of these platforms are usually overkill” Gemini 3.5 Flash, paraphrase prompt
Enable25%
14 of 57 labels negative · 10 of 14 models · 2 hard negative
“avoiding heavy enterprise-tier systems (like Enable, Pricefx, or Vendavo), which typically come with massive upfront implementation fees” Gemini 3.5 Flash, budget prompt
Vendavo43%
12 of 28 labels negative · 8 of 14 models · 1 hard negative
“avoiding heavy enterprise-tier systems (like Enable, Pricefx, or Vendavo)” Gemini 3.5 Flash, budget prompt
Pricefx35%
12 of 34 labels negative · 7 of 14 models · 1 hard negative
“avoiding heavy enterprise-tier systems (like Enable, Pricefx, or Vendavo)” Gemini 3.5 Flash, budget 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
80 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. 1090 links across 138 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.
vendor site · G269 answers · 147 citations · 14 models
vendor site · Guideflow49 answers · 49 citations · 11 models
vendor site · Worldmetrics43 answers · 96 citations · 11 models
vendor site · Level 641 answers · 45 citations · 12 models
41 answers · 41 citations · 12 models
40 answers · 51 citations · 11 models
vendor site · Sourceforge36 answers · 58 citations · 12 models
30 answers · 42 citations · 11 models
vendor site · Enable29 answers · 45 citations · 12 models
vendor site · OnCentive29 answers · 29 citations · 11 models
28 answers · 37 citations · 11 models
23 answers · 26 citations · 10 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.
58 answers · 14 models
47 answers · 11 models
41 answers · 12 models
41 answers · 12 models
29 answers · 11 models
25 answers · 11 models
22 answers · 10 models
21 answers · 9 models
21 answers · 11 models
21 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 rebate management platform”, “rebate management platform”, “rebate 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 |
|---|---|---|---|---|---|---|---|---|
| Enable enable.com | 52% | 175 | 49,500 | 180,327 | 13,670 | $106 | 9 | |
| e-bate e-bate.io | 16% | 65 | 20 | 45 | 944 | 2 | ||
| Voucherify voucherify.io | 9% | 55 | 390 | 3 | 15,008 | |||
| incentX incentx.com | 9% | 51 | 30 | 0 | 854 | 3 | ||
| Flintfox flintfox.ca | 2% | 41 | 140 | 2 | ||||
| Rebately | 2% | |||||||
| Salesforce salesforce.com Salesforce Revenue Cloud 2% | 2% | 35 | 550,000 | 60,632 | 7,941,323 company | $8,259 | 115 | 7 |
| Panda RMS | 2% | |||||||
| Spreadjust spreadjust.com | 2% | 2 | ||||||
| UpClear Trade Promotion Management | 2% |
Google's top ten for the three searches hold 22 sites; 1 of them are among the sites the models cited here (sourceforge.net). The first result for “best rebate management platform” is vendavo.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 rebate management platform for a mid-market B2B company?”Paraphrase“Which trade rebate and incentive tracking software would you recommend to a mid-sized B2B company?”Comparative“What are the top rebate management platforms and how do they differ?”Budget-constrained“What is the best rebate management platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a rebate management platform. What should we look at?”Negative“Which rebate management platforms should I avoid or be cautious about?”
Claude Haiku 4.5EnableEnableHeldno first choiceSalesforce Revenue Cloudno first choiceagainst: Enable, Flintfox, Vendavo, Vistex
Two alternatives
Flintfox, e-bateThree alternatives
360insights, IMA360, SolveXiaThree alternatives
Pricefx, Voucherify, e-bateGPT-5.4 miniEnableagainst: VistaarEnableHeldEnablee-bateno first choiceagainst: Enable, Phocas Software
Two alternatives
Acumens, PricefxFour alternatives
IMA360, Phocas Software, Pricefx, TradeNet DealsThree alternatives
Flintfox, Oracle Channel Revenue Management, SAP Incentive AdministrationTwo alternatives
Channel Fusion, VoucherifyGemini 3.5 FlashEnableagainst: SAP, VistexEnableHeldagainst: Model N, Pricefx, Vendavo, VistexEnableagainst: VistexincentXagainst: Enable, Pricefx, VendavoEnableagainst: Model N, Pricefx, SAP, Vendavo, Vistexagainst: Enable, Excel, Microsoft Dynamics 365, NetSuite, Oracle Channel Revenue Management, Pricefx, SAP, Salesforce Revenue Cloud, Vendavo
Four alternatives
Phocas Software, Pricefx, SolveXia, incentXThree alternatives
IMA360, Salesforce Rebate Management, incentXFour alternatives
IMA360, Model N, Pricefx, VendavoFour alternatives
Phocas Rebates, Rebates-On, Voucherify, e-bateTwo alternatives
Flintfox, Salesforce Revenue CloudPerplexity Sonare-bateagainst: VendavoEnableChangedEnable, Model NVoucherifyno first choiceagainst: Microsoft Dynamics 365, Odoo, Pricefx, SAP, Vendavo
Two alternatives
Enable, RebateMAXFour alternatives
Conga, Phocas Software, Zilliant, incentXFive alternatives
IMA360, Pricefx, Vendavo, Vistex, e-bateOne alternative
Wiser PromotionsGrok 4.1 FastEnableagainst: VistexEnableHeldagainst: Performio, Pricefx, Vistex, ZinfiEnablee-bateagainst: Model N, Pricefx, Vendavo, Vistexno first choiceagainst: Enable, IMA360, Pricefx, RebateKey, Rebates.com, Rebatesme.com, Vistex
Two alternatives
360insights, PricefxThree alternatives
360insights, Pricefx, VistexOne alternative
VoucherifyThree alternatives
Enable, Level 6, VendavoMistral SmallincentXFlintfoxChangedVistexVoucherify, e-bateno first choiceagainst: Pricefx, Vendavo
Four alternatives
360insights, Enable, RebateMAX, VendavoTwo alternatives
OnCentive, Vendavo RebatesFive alternatives
Enable, Model N, RebateMAX, e-bate, incentXTwo alternatives
Enable, incentXDeepSeek V4 FlashEnableagainst: VistexEnableHeldagainst: UpClear BluePlannerEnableincentXagainst: Enableno first choiceagainst: Enable, Vistex
Three alternatives
Flintfox, Pricefx, incentXFour alternatives
Revantage, Vendavo, Vistex, e-bateThree alternatives
Level 6, Model N, VistexTwo alternatives
Salesforce Rebate Management, VoucherifyLlama 4 Maverickno first choiceEnableChangedno first choiceno first choiceno first choicenothing named
Four alternatives
Aptitude Software, Performio, Vendavo, ZinfiQwen 3.7 FlashPanda RMSagainst: SAP Rebate ManagementUpClear Trade Promotion ManagementChangedno first choiceincentXagainst: Model N, SAP, Salesforce Revenue Cloud, Vendavo, Vistexno first choiceagainst: Channelscaler, Enable International, Hoopladoopla, RebateMe, Vistex, Zentail
Four alternatives
NetSuite Advanced Revenue Management, RebateCloud, Rebately, VendavoFour alternatives
Blacksmith Applications, Promomash, Salesforce Consumer Goods Cloud, Wiser PromotionsThree alternatives
Pricefx, TradeNet Deals, VoucherifyKimi K2Enableagainst: Salesforce Rebate Management, VistexEnableHeldagainst: VistexEnablee-bateagainst: Enable, Flintfox, VistexEnableagainst: Enable, Pricefx, RebateKey, Rebates.com, Vistex
One alternative
incentXThree alternatives
Flintfox, NetSuite, TradeNet DealsSix alternatives
Flintfox, Model N, Speedy Labs, Vistex, e-bate, incentXTwo alternatives
Pricefx, VoucherifyThree alternatives
Channelscaler, Pricefx, VistexGLM 4.7 FlashXEnableEnableHeldEnableVoucherify, e-bateagainst: Enable, Pricefx, Vistexno first choiceagainst: Enable, Epicor, Oracle Channel Revenue Management, Rebates.com, SAP
Three alternatives
Band, Flintfox, VisualfabriqThree alternatives
Aptitude Software, Wiser Promotions, ZinfiFour alternatives
Model N, Vendavo, Vistex, e-bateOne alternative
Channel FusionMiniMax M2.5EnableEnableHeldagainst: Vendavono first choiceVoucherifyno first choiceagainst: Enable, RebatesHQ.com, RebatesMe LLC, Vistex
Five alternatives
Flintfox, IMA360, Pricefx, Vistex, VisualfabriqTwo alternatives
Flintfox, RebateMAXTwo alternatives
Pricefx, SolveXiaGPT-6 LunaEnableEnableHeldEnableSpreadjustno first choiceagainst: Enable, Flintfox, Vendavo, Vistex
Three alternatives
NetSuite’s rebate tools, Salesforce Channel Revenue Management, VistexThree alternatives
Flintfox, IMA360, VistexSeven alternatives
Conga, Model N, Pricefx, Salesforce Channel Revenue Management, Vendavo, Vistaar, VistexOne alternative
e-bateMuse Glimmer 30BRebatelyEnableChangedEnablee-bateagainst: Enableno first choiceagainst: Vistexagainst: Enable International, Pricefx, Rebates.com, SAP Settlement Management / SAP Condition Contract Settlement, Vistex
Three alternatives
Enable, Model N, VendavoFour alternatives
Flintfox, OnCentive, Vividly, incentXSeven alternatives
Model N, Oracle Channel Revenue Management, SAP Incentive Administration, SAP Rebate Management, Vendavo, Vistex, ZilliantOne alternative
VoucherifyBold 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 | 2026-10-04 22:57 | yes | 13 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:05 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:15 | yes | 18 | 30 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-04 23:23 | yes | 17 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:07 | yes | 19 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:27 | yes | 12 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:56 | yes | 22 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:12 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:12 | yes | 11 | 36 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:18 | yes | 23 | 27 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:30 | yes | 19 | 18 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:08 | yes | 14 | 20 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:04 | yes | 5 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:25 | yes | 15 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:23 | yes | 15 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:14 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:23 | yes | 15 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-04 23:05 | yes | 16 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:11 | yes | 21 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:26 | yes | 12 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:40 | yes | 25 | 26 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:57 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:44 | yes | 9 | 40 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:03 | yes | 20 | 24 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:57 | yes | 22 | 44 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:16 | yes | 19 | 26 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:31 | yes | 5 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:15 | yes | 15 | 17 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:34 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:36 | yes | 5 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:37 | yes | 24 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-04 22:53 | yes | 13 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:20 | yes | 20 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:06 | yes | 9 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:33 | yes | 23 | 35 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:14 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:12 | yes | 10 | 21 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:10 | yes | 21 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:16 | yes | 25 | 127 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:53 | yes | 22 | 60 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:48 | yes | 11 | 48 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:14 | yes | 23 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:42 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:50 | yes | 1 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:50 | yes | 19 | 27 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-04 22:46 | yes | 16 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:09 | yes | 16 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:22 | yes | 8 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:37 | yes | 21 | 21 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:21 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:22 | yes | 16 | 67 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:50 | yes | 19 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 23:04 | yes | 20 | 47 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:52 | yes | 7 | 19 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:11 | yes | 2 | 20 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:49 | yes | 16 | 30 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:21 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:39 | no | 0 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:28 | yes | 8 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-04 22:31 | yes | 14 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:18 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:10 | no | 0 | 5 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:51 | yes | 15 | 42 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:14 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:25 | no | 0 | 24 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:16 | yes | 15 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:41 | yes | 12 | 42 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:50 | yes | 5 | 15 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:39 | yes | 1 | 17 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:19 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:19 | yes | 10 | 7 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:15 | yes | 1 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:45 | yes | 18 | 29 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-04 22:29 | yes | 15 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:29 | yes | 19 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:12 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:12 | yes | 22 | 19 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:38 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:04 | yes | 25 | 73 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:23 | yes | 22 | 51 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:53 | yes | 20 | 24 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:21 | yes | 9 | 14 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:58 | yes | 4 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:41 | yes | 18 | 22 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
Oracle read as Oracle Channel Revenue Management
Salesforce read as Salesforce Revenue Cloud
Unresolved, counted raw
Acumens
Blacksmith Applications
Blacksmith TPM
Hoopladoopla
NetSuite’s rebate tools
Panda RMS (formerly ProfitStar)
RebateMe
Rebatesme.com
Revantage
SAP Settlement Management / SAP Condition Contract Settlement
SAP or Oracle native capabilities
Salesforce Consumer Goods Cloud
The Retail Exec
UpClear BluePlanner
UpClear Trade Promotion Management
Vendavo Rebates
Zentail
incentivX
incentivX/OnCentive
Discontinued, still offered
No shut-down product was recommended here.
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