Rebate management for enterprise buyers
Asked as “rebate management platform”, and as “trade rebate and incentive tracking software”, on behalf of an enterprise B2B company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
63%
Clear leader
63Enable10incentX08Vistex18others
63% of first choices, clear leader.
Since October 2026▲+6Since October 2026: 57% → 63%, +6 points. Inside the 10-point floor: within noise.Enable held the lead, +6 points on 57%, 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
incentX42%Clear leader↗new leaderNew leader since October 2026: incentX (42%) replaces e-bate (26% then, 17% now), 25 points clear, past the 10-point floor.Standing →Mid-market
Enable48%Clear leader▼−4Since October 2026: 52% → 48%, −4 points. Inside the 10-point floor: within noise.Standing →EnterpriseEnable63%Clear leader▲+6Since October 2026: 57% → 63%, +6 points. Inside the 10-point floor: within noise.This page
incentX42%Clear leader↗new leaderNew leader since October 2026: incentX (42%) replaces e-bate (26% then, 17% now), 25 points clear, past the 10-point floor.Standing →Mid-marketEnable48%Clear leader▼−4Since October 2026: 52% → 48%, −4 points. Inside the 10-point floor: within noise.Standing →EnterpriseEnable63%Clear leader▲+6Since October 2026: 57% → 63%, +6 points. Inside the 10-point floor: within noise.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 October 2026
01Enable63%12%66endorsed leader▲+6Since October 2026: 57% → 63%, +6 points. Inside the 10-point floor: within noise.57% → 63%
Enable63%12%66endorsed leader▲+6Since October 2026: 57% → 63%, +6 points. Inside the 10-point floor: within noise.57% → 63%02incentX10%0%19accepted challenger▲+10Since October 2026: 0% → 10%, +10 points. Inside the 10-point floor: within noise.0% → 10%
incentX10%0%19accepted challenger▲+10Since October 2026: 0% → 10%, +10 points. Inside the 10-point floor: within noise.0% → 10%03
Vistex8%21%66accepted challenger▼−10Since October 2026: 18% → 8%, −10 points. Inside the 10-point floor: within noise.18% → 8%
Vistex8%21%66accepted challenger▼−10Since October 2026: 18% → 8%, −10 points. Inside the 10-point floor: within noise.18% → 8%04
Vendavo2%8%48accepted challenger▼−14Since October 2026: 16% → 2%, −14 points. Past the 10-point floor: movement.16% → 2%
Vendavo2%8%48accepted challenger▼−14Since October 2026: 16% → 2%, −14 points. Past the 10-point floor: movement.16% → 2%05Vistaar SmartRebates2%7%15accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
06
Channelscaler2%7%14accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
Channelscaler2%7%14accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%Show the three products at 0%, ordered by negative rate
08
Model N0%23%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Model N0%23%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%09
Flintfox0%17%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Flintfox0%17%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%07
Pricefx0%12%48accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Pricefx0%12%48accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight products, each against each
Enable vs VoucherifyEnable vs 360insightsEnable vs Phocas SoftwareEnable vs SolveXiaincentX vs e-bateincentX vs PricefxincentX vs VoucherifyincentX vs 360insightsincentX vs Phocas SoftwareincentX vs SolveXiae-bate vs Pricefxe-bate vs Voucherifye-bate vs 360insightse-bate vs Phocas Softwaree-bate vs SolveXiaPricefx vs VoucherifyPricefx vs 360insightsPricefx vs Phocas SoftwarePricefx vs SolveXiaVoucherify vs 360insightsVoucherify vs Phocas SoftwareVoucherify vs SolveXia360insights vs Phocas Software360insights vs SolveXiaPhocas Software vs SolveXia
One product takes 63% of first choices here, so the chart would put eight markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Zero products carry a negative rate above 25% in this category.
What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX, 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.
Vistex21%
14 of 66 labels negative · 12 of 14 models · 1 hard negative
“vendors flagged as "cautious" by AI models (e.g., Vistex, IMA360, Model N, Pricefx) unless you can demonstrate they address your specific complexity” GLM 4.7 FlashX, negative prompt
Enable12%
8 of 66 labels negative · 7 of 14 models
“G2's review summary flags reporting-flexibility concerns and reports that some customers found the broader change effort took longer than expected” GPT-6 Luna, negative prompt
Model N23%
5 of 22 labels negative · 5 of 14 models · 2 hard negative
“vendors flagged as "cautious" by AI models (e.g., Vistex, IMA360, Model N, Pricefx)” GLM 4.7 FlashX, negative prompt
Pricefx12%
6 of 48 labels negative · 4 of 14 models · 1 hard negative
“vendors flagged as "cautious" by AI models (e.g., Vistex, IMA360, Model N, Pricefx)” GLM 4.7 FlashX, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
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. 948 links across 156 sites, every framing counted. Ranked by the number of answers carrying the site or page. 30 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 · Enable66 answers · 114 citations · 14 models
vendor site · G262 answers · 134 citations · 14 models
vendor site · Vistaar32 answers · 43 citations · 12 models
vendor site · Vendavo29 answers · 41 citations · 12 models
vendor site · Guideflow28 answers · 28 citations · 11 models
vendor site · Vistex25 answers · 43 citations · 8 models
vendor site · incentX25 answers · 38 citations · 12 models
vendor site · Level 625 answers · 29 citations · 11 models
vendor site · Pricefx20 answers · 24 citations · 12 models
19 answers · 20 citations · 6 models
vendor site · Sourceforge17 answers · 20 citations · 8 models
publisher (Gane)16 answers · 17 citations · 9 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.
56 answers · 13 models
36 answers · 11 models
28 answers · 11 models
25 answers · 10 models
24 answers · 11 models
22 answers · 10 models
18 answers · 11 models
16 answers · 9 models
16 answers · 9 models
16 answers · 9 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 Enable 63%, Enable International 4% | 67% | 190 | 49,500 | 180,327 | 13,670 | $106 | 9 | |
| incentX incentx.com | 10% | 102 | 30 | 0 | 854 | 3 | ||
| Vistex vistex.com | 8% | 166 | 1,900 | 96 | 2,312 | 70 | ||
| Vendavo vendavo.com | 2% | 118 | 1,000 | 30 | 72,496 | 1 | 1 | |
| Vistaar SmartRebates vistaar.com | 2% | 26 | 6 | |||||
| Channelscaler channelscaler.com | 2% | 32 | 260 | 3 | 948 | $279 | 13 | |
| SAP sap.com SAP Rebate Management 2%, SAP Incentive Management 0% | 2% | 3 | 135,000 | 74,309 | 2,214,514 company | $1,251 | 23 | 4 |
| Pricefx Rebates | 2% | |||||||
| Vantage Point Software | 2% | |||||||
| Vistex Rebate Management | 2% |
Google's top ten for the three searches hold 22 sites; 4 of them are among the sites the models cited here (incentx.com, sourceforge.net, vendavo.com, vistaar.com). 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 an enterprise B2B company?”Paraphrase“Which trade rebate and incentive tracking software would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade rebate management platforms and how do they differ?”Budget-constrained“What is the best rebate management 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 rebate management platform. What should we look at?”Negative“Which rebate management platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5EnableVendavoChangedEnableagainst: Model NEnableno first choicenothing named
Three alternatives
Model N, Vendavo, VistexThree alternatives
Vistaar SmartRebates, Vistex, incentXFive alternatives
IMA360, Pricefx, Vendavo, Vistex, incentXThree alternatives
360insights, Model N, VistexGPT-5.4 miniEnableEnableHeldEnableagainst: PricefxEnableno first choiceagainst: Flintfox, Vendavo, Vistex
Two alternatives
Pricefx, VistexTwo alternatives
Vistaar SmartRebates, VistexFour alternatives
Model N, PROS, Vendavo, VistexGemini 3.5 FlashEnableEnableHeldEnableEnableagainst: Model N, Vendavono first choicenothing named
Five alternatives
Flintfox, Model N, Pricefx, Vendavo, VistexFive alternatives
Flintfox, Model N, Pricefx, Vendavo, VistexSix alternatives
Model N, Pricefx, Salesforce Rebate Management, Salesforce Revenue Cloud, Vendavo, VistexTwo alternatives
Pricefx, VistexPerplexity SonarEnableEnableHeldEnableagainst: Flintfox, Oracle Channel Revenue Management, SAP, Salesforce Revenue CloudincentXno first choiceagainst: Model N, Pricefx, SAP-native rebate tools, Salesforce-native rebate functionality, Vistex, Voucherify
Three alternatives
Model N, Vendavo, VistexTwo alternatives
Vendavo, VistexFive alternatives
IMA360, Model N, Pricefx, Vistex, e-bateFour alternatives
Enable, Pricefx, Vendavo, Vistaar SmartRebatesGrok 4.20Enableagainst: Salesforce Rebate ManagementEnableHeldEnableEnableagainst: PricefxEnableagainst: IMA360, Phocas Software, Pricefx, Vendavo, Vistex, Voucherify, e-bate
Three alternatives
Pricefx, Vendavo, VistexThree alternatives
Pricefx, Vendavo, VistexFour alternatives
360insights, Pricefx, Vendavo, VistexTwo alternatives
Vendavo, VistexFive alternatives
Phocas Rebates, Pricefx, Vendavo, Vistaar SmartRebates, VistexMistral SmallEnable, VistexEnableChangedEnableEnableno first choiceagainst: Vistex
Two alternatives
Pricefx, VendavoTwo alternatives
Pricefx, VistexSix alternatives
Anaplan Rebates and Promotions, Channelscaler, Pricefx, SAP Incentive Management, Vendavo, VistexDeepSeek V4 FlashEnableEnableHeldEnable, VistexincentXagainst: Enable, Salesforce Rebate Management, Vistexno first choiceagainst: Model N, SAP, Vistexagainst: Enable, Oracle Receivables, SAP SD/MM rebate processing, Vistex
Five alternatives
Channelscaler, Model N, Pricefx, Vendavo, VistexFour alternatives
Model N, Pricefx, Vistex, ZilliantFour alternatives
360insights, IMA360, Pricefx, incentXOne alternative
Rebates-OnLlama 4 MaverickEnableno first choiceChangedno first choiceEnableno first choiceagainst: Channelscaler, Enable, Oracle Channel Revenue Management, Vistex
Three alternatives
BlackCurve Rebate Management, Vistex, Wiser PromotionsTwo alternatives
Pricefx, VistexQwen 3.7 FlashVantage Point SoftwareChannelscalerChangedEnable InternationalEnable Internationalno first choiceagainst: Enable, Vistex
Five alternatives
DealHub, NetSuite’s Rebate Management SuiteApp / Bundles, Oracle SCM, RebateHub, SAP Rebate ManagementThree alternatives
Enable International, Pricefx, VistexThree alternatives
Channelscaler, Pricefx, VistexTwo alternatives
Pricefx, VistexKimi K2EnableEnableHeldEnableincentXno first choiceagainst: Native SAP Rebate Management, Siebel, Vistex
Two alternatives
360insights, VistexTwo alternatives
Vendavo, VistexThree alternatives
Vendavo, Vistex, incentXTwo alternatives
Enable, VistexGLM 4.7 FlashXEnableEnable, VistexChangedEnableincentXagainst: Enable, Pricefxno first choiceagainst: Epicor, IMA360, Infor, Microsoft Dynamics 365, Model N, Oracle NetSuite, Pricefx, SAP, Vistex
Three alternatives
Pricefx, Vendavo, VistexFour alternatives
Pricefx, SAP Rebate Management, Wiser Promotions, incentXFive alternatives
Flintfox, SolveXia, Vendavo, Vistex, Wiser PromotionsOne alternative
Rebates-OnMiniMax M2.5Enable, VistexSAP Rebate ManagementChangedEnableEnable, Vistaar SmartRebatesEnableagainst: Enable, Vendavo, Vistex
One alternative
VendavoFour alternatives
Model N, Oracle Trade Management, Vendavo, ZilliantFour alternatives
Phocas Software, Pricefx, Vendavo, VistexThree alternatives
Pricefx, Salesforce Rebate Management, VistexFive alternatives
SolveXia, Vendavo, Vistaar SmartRebates, Vistex, incentXGPT-6 LunaEnableEnable, VistexChangedEnableEnableno first choiceagainst: Enable, Phocas Rebates, TradeNet Deals, Vistaar SmartRebates, Vistex, Voucherify
Three alternatives
Model N, Pricefx, VistexThree alternatives
Oracle Fusion, SAP Channel Program Management by Vistex, Salesforce Rebate ManagementSix alternatives
Conga, Model N, Oracle Channel Revenue Management, Pricefx, Vendavo, VistexTwo alternatives
SAP, VistexMuse Glimmer 30BEnable InternationalPricefx Rebates, Vistex Rebate ManagementChangedEnable International, Vistex, Inc.incentXno first choiceagainst: Enable, Vistex
Five alternatives
Anaplan Rebates and Promotions, SAP Incentive Management, Vendavo, Vistaar SmartRebates, VistexTwo alternatives
Enable, Vistaar SmartRebatesFive alternatives
Channelscaler, Pricefx, Vendavo, Wiser Promotions, incentXOne alternative
Rebates-OnBold 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.
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 | 2026-11-01 12:25 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:51 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:02 | yes | 12 | 17 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 11:33 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:06 | yes | 5 | 29 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:36 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:19 | yes | 22 | 20 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:02 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:09 | no | 0 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:19 | yes | 15 | 62 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:14 | yes | 22 | 28 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:51 | yes | 18 | 39 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:24 | yes | 4 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:58 | yes | 12 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:47 | yes | 10 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:42 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:11 | yes | 11 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:43 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:08 | yes | 10 | 29 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:09 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:57 | yes | 21 | 22 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:57 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:23 | yes | 19 | 73 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:44 | yes | 18 | 30 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:43 | yes | 14 | 28 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:03 | no | 0 | 20 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:47 | yes | 5 | 18 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:35 | yes | 14 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:55 | yes | 14 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:12 | yes | 3 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:17 | yes | 10 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 10:41 | yes | 10 | 7 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:12 | yes | 9 | 32 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:10 | yes | 5 | 5 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:53 | yes | 23 | 30 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:49 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:45 | yes | 5 | 27 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:44 | yes | 24 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:26 | yes | 21 | 54 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:57 | yes | 23 | 53 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:47 | yes | 8 | 24 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:13 | yes | 20 | 39 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:04 | yes | 17 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:58 | yes | 2 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:30 | yes | 7 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 11:38 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:05 | yes | 12 | 32 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:12 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:10 | yes | 23 | 32 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:32 | yes | 5 | 7 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:17 | yes | 5 | 33 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:20 | yes | 23 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:06 | yes | 20 | 24 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:31 | yes | 5 | 29 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:22 | yes | 3 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:08 | yes | 17 | 28 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:21 | yes | 19 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:17 | yes | 2 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:59 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:58 | yes | 10 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:31 | yes | 14 | 43 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:37 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:22 | yes | 22 | 29 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:51 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:02 | yes | 10 | 42 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:12 | yes | 14 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:45 | yes | 25 | 27 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:54 | yes | 10 | 44 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:44 | yes | 4 | 20 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:20 | yes | 15 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:15 | yes | 17 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:49 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:18 | yes | 10 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 08:46 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:30 | yes | 14 | 30 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:34 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:51 | yes | 21 | 40 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:20 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:42 | yes | 5 | 22 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:00 | yes | 24 | 51 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:31 | yes | 21 | 38 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:15 | yes | 18 | 33 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:59 | yes | 4 | 22 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:53 | yes | 20 | 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.
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Category-scoped readings
Oracle read as Oracle Channel Revenue Management
Salesforce Rebate Mgmt read as Salesforce Rebate Management
Vistaar read as Vistaar SmartRebates
Vistaar (SmartRebates) read as Vistaar SmartRebates
Unresolved, counted raw
Native SAP Rebate Management (ECC / S/4HANA Built-in)
OpenSymmetry
Oracle Trade Management
Pricefx Rebates
Pricemoov
SAP Channel Program Management by Vistex
SAP SD/MM rebate processing
SAP's own rebate module
SAP-native rebate tools
SPOSEA
Salesforce CRM / Channel Revenue Management
Salesforce-native rebate functionality
Siebel
Vantage Point Software
Vendortell
Vistex Rebate Management
Vistex, Inc.
Discontinued, still offered
No shut-down product was recommended here.