ESG and carbon reporting for small business buyers
Asked as “ESG reporting software”, and as “carbon accounting platform”, on behalf of a small B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
48%
Clear leader
48Greenly06Sustain.Life04Aclymate42others
48% of first choices, clear leader.
Since September 2026▲+9Since September 2026: 41% → 50%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Greenly held the lead, +9 points on 41%, 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
Greenly48%Clear leader▲+9Since September 2026: 41% → 50%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageMid-marketGreenly36%Contested↗new leaderNew leader since September 2026: Greenly (33%) replaces Sweep (25% then, 10% now), 24 points clear, past the 10-point floor.Standing →Enterprise
Workiva37%Contested=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →
Greenly48%Clear leader▲+9Since September 2026: 41% → 50%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageMid-marketGreenly36%Contested↗new leaderNew leader since September 2026: Greenly (33%) replaces Sweep (25% then, 10% now), 24 points clear, past the 10-point floor.Standing →EnterpriseWorkiva37%Contested=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Greenly48%3%64endorsed leader▲+9Since September 2026: 41% → 50%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.41% → 50%
Greenly48%3%64endorsed leader▲+9Since September 2026: 41% → 50%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.41% → 50%02
Sustain.Life6%10%20accepted challenger▼−2Since September 2026: 9% → 7%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 7%
Sustain.Life6%10%20accepted challenger▼−2Since September 2026: 9% → 7%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 7%03
Persefoni4%24%21accepted challenger▼−7Since September 2026: 9% → 2%, −7 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 2%
Persefoni4%24%21accepted challenger▼−7Since September 2026: 9% → 2%, −7 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 2%04
Normative2%0%21accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Normative2%0%21accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%05
Novata2%0%16accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Novata2%0%16accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%06Workiva2%71%35criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Workiva2%71%35criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%Show the six products at 0%, ordered by negative rate
12
Watershed0%79%19criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Watershed0%79%19criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%11
IBM Envizi0%79%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
IBM Envizi0%79%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%10
Diligent ESG0%57%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Diligent ESG0%57%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%07
Sweep0%19%21accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Sweep0%19%21accepted 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
Plan A0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Plan A0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.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 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.
All twenty-eight head-to-head pages: the top eight products, each against each
Greenly vs WatershedGreenly vs NovistoGreenly vs Plan AGreenly vs WorkivaSweep vs CoolsetSweep vs PersefoniSweep vs WatershedSweep vs NovistoSweep vs Plan ASweep vs WorkivaCoolset vs PersefoniCoolset vs WatershedCoolset vs NovistoCoolset vs Plan ACoolset vs WorkivaPersefoni vs WatershedPersefoni vs NovistoPersefoni vs Plan APersefoni vs WorkivaWatershed vs NovistoWatershed vs Plan AWatershed vs WorkivaNovisto vs Plan ANovisto vs WorkivaPlan A vs Workiva
One product takes 48% of first choices here, so the chart would put eleven 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. Four products carry a negative rate above 25% in this category.
What they warned about
Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, 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.
Workiva71%
25 of 35 labels negative · 12 of 14 models · 13 hard negative
“Enterprise-Focused Platforms with High Costs and Complexity - Examples: Workiva... Why avoid: These platforms are designed for large corporations” Mistral Small, negative prompt
IBM Envizi79%
11 of 14 labels negative · 10 of 14 models · 6 hard negative
“Specific platforms to be cautious about: IBM Envizi ESG Suite: This platform is expensive for medium and small-scale organizations” Claude Haiku 4.5, negative prompt
Watershed79%
15 of 19 labels negative · 9 of 14 models · 6 hard negative
“Enterprise Tools (Not Recommended for Tight Budgets)... Workiva, IBM Envizi, and Watershed fall into this category” GLM 4.7 FlashX, budget prompt
Diligent ESG57%
8 of 14 labels negative · 7 of 14 models · 3 hard negative
“best for medium to large size companies ... a steep learning curve, difficult report customization” Claude Haiku 4.5, 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. 1112 links across 240 sites, every framing counted. Ranked by the number of answers carrying the site or page. 3 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.
46 answers · 55 citations · 12 models
vendor site · Tracera33 answers · 33 citations · 11 models
vendor site · Coolset29 answers · 29 citations · 11 models
vendor site · G226 answers · 49 citations · 9 models
26 answers · 33 citations · 10 models
26 answers · 27 citations · 11 models
24 answers · 25 citations · 10 models
23 answers · 28 citations · 9 models
vendor site · Greenly22 answers · 37 citations · 13 models
vendor site · Manglai19 answers · 22 citations · 9 models
vendor site · Persefoni18 answers · 21 citations · 12 models
vendor site · EnergyCap18 answers · 18 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.
33 answers · 11 models
27 answers · 11 models
24 answers · 10 models
23 answers · 11 models
22 answers · 10 models
22 answers · 9 models
20 answers · 9 models
18 answers · 8 models
17 answers · 9 models
15 answers · 8 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 esg reporting software”, “esg reporting platforms”, “esg reporting software”. 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 |
|---|---|---|---|---|---|---|---|---|
| Greenly greenly.earth | 48% | 102 | 2,900 | 28 | 130,546 | 26 | ||
| Workiva workiva.com Sustain.Life 6%, Workiva 2% | 8% | 596 | 22,200 | 524 | 58,186 | $23 | 64 | 1 |
| Aclymate aclymate.com Aclymate 4%, Aclymate Explorer 2% | 6% | 9 | 110 | 0 | 380 | 9 | ||
| Persefoni persefoni.com | 4% | 78 | 1,300 | 23 | 8,274 | $3 | 26 | 7 |
| ESG Lift esglift.com | 4% | 9 | 0 | 9 | ||||
| Dcycle dcycle.io | 4% | 6 | ||||||
| CarbonAnalytics carbonanalytics.com | 4% | 2 | ||||||
| Normative normative.io | 2% | 39 | 12,100 | 17,486 | 23,975 | |||
| Novata novata.com | 2% | 28 | 1,600 | 46 | 1,026 | $208 | 4 | |
| Coolset coolset.com | 2% | 20 | 720 | 0 | 4,690 |
Google's top ten for the three searches hold 20 sites; 2 of them are among the sites the models cited here (energycap.com, persefoni.com). The first result for “best esg reporting software” is workiva.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 ESG reporting software for a small B2B company?”Paraphrase“Which carbon accounting platform would you recommend to a small business that sells to other businesses?”Comparative“What are the top ESG reporting platforms for a small team and how do they differ?”Budget-constrained“What is the best ESG reporting software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a ESG reporting software. What should we look at?”Negative“Which ESG reporting platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5Greenly, Sustain.LifeGreenly, NormativeChangedGreenlyagainst: WorkivaSustain.Lifeno first choiceagainst: Diligent ESG, IBM Envizi, Workiva
Two alternatives
Code Gaia, ESGenius!One alternative
SeedlingOne alternative
SweepTwo alternatives
ESGenius!, GreenlyGPT-5.4 miniESG Cockpit, EcodiligenceGreenlyChangedPersefoni, Workivaagainst: Salesforce Net Zero CloudESG Reportingagainst: Discloser, KarbunWiseno first choiceagainst: CCH Tagetik, Discloser, IBM Envizi, ServiceNow GRC, Switch ESG Platform
Two alternatives
Diligent ESG, IBM EnviziThree alternatives
Watershed, Workiva, carbmeeOne alternative
NovistoOne alternative
Horizon ESGGemini 3.5 FlashDcycleagainst: SAP Sustainability Control Tower, Sweep, WatershedGreenlyChangedGreenlyagainst: Nasdaq Metrio, SpheraExecutESGagainst: Sweep, Watershed, WorkivaDcycleagainst: Persefoni, SAP Sustainability Control Tower, Salesforce Net Zero Cloud, Sphera, Sustain.Life, Workivaagainst: Diligent ESG, IBM Envizi, Salesforce Net Zero Cloud, Workiva
Four alternatives
Brightest, ESG Lift, Planmark, Workiva CarbonThree alternatives
SME Climate Hub Business Carbon Calculator, Sage Earth, SeedlingFour alternatives
Dcycle, Novata, Sweep, Workiva CarbonThree alternatives
Dcycle, Greenly, Sustain.LifeFour alternatives
Ecologi Zero, Greenly, Hedgehog, SeedlingPerplexity SonarGreenlyagainst: Manglai, WorkivaGreenlyHeldCoolset, Greenly, Novataagainst: Diligent ESG, Nasdaq Metrio, Novisto, Position Green, WorkivaGreenlyno first choiceagainst: Diligent ESG, IBM Envizi, Sphera, Watershed, Workiva
One alternative
ESGendiumThree alternatives
Cogo, Normative, PersefoniTwo alternatives
Envoria, Tao Climate ScopeGrok 4.1 FastGreenlyGreenlyHeldagainst: SweepGreenlyagainst: Diligent ESG, WorkivaCarbonToolno first choiceagainst: SAP Sustainability Control Tower, ServiceNow Governance, Risk, and Compliance, Watershed, Workiva
Three alternatives
Normative, Sustain.Life, WorkivaOne alternative
PersefoniFour alternatives
Aclymate, Normative, Novata, SweepThree alternatives
Code Gaia, ESGgo, Sustain.LifeFour alternatives
Coolset, ExecutESG, Greenly, NormativeMistral SmallGreenlyGreenlyHeldNovataESG Lift, Greenlyno first choiceagainst: EcoVadis, Position Green, Prophix One, SAP Sustainability Control Tower, Workiva
Three alternatives
Coolset, Normative, TraceraThree alternatives
Greenly, Normative, SweepTwo alternatives
ESGgo, Sustain.LifeDeepSeek V4 FlashGreenly, Novataagainst: IBM Envizi, Salesforce Net Zero Cloud, WorkivaAclymateChangedagainst: WatershedGreenlyagainst: Persefoni, WatershedSustain.Lifeagainst: Diligent ESG, FigBytes, Sphera, Watershed, WorkivaGreenlyagainst: Salesforce Net Zero Cloud, Sweep, Workivaagainst: Persefoni, Salesforce Net Zero Cloud, Sphera, Watershed, Workiva
One alternative
ManglaiFour alternatives
Greenly, Normative, Persefoni, SweepTwo alternatives
Novata, SweepThree alternatives
ESGgo, Novata, SweepOne alternative
TansoLlama 4 MaverickGreenlyno first choiceChangedGreenlyCoolsetno first choicenothing named
Two alternatives
ESGendium, SweepThree alternatives
Aclymate, EnergyCap, NovataTwo alternatives
Greenly, Sustain.LifeQwen 3.7 FlashGreenlyagainst: WorkivaGreenly, PersefoniChangedagainst: WatershedGreenlyAclymate Exploreragainst: Sustain.Lifeno first choiceagainst: Salesforce Net Zero Cloud, Watershedagainst: Diligent ESG, SAP Sustainability Control Tower, Workiva
Three alternatives
EcoVadis, Novata, Sustain.LifeFour alternatives
EcoVadis, Metrio, Sustain.Life, SweepTwo alternatives
CarbonTool, ESGgoKimi K2Greenlyagainst: WorkivaAclymateChangedExecutESG, Greenlyagainst: IBM Envizi, Watershed, WorkivaGreenlyno first choiceagainst: EcoVadis, KEY ESG, SAP Sustainability Control Tower, Sustainalytics, Workiva
Three alternatives
ESG Lift, Metrio, MultiplyeThree alternatives
Green Project, Greenly, NormativeFive alternatives
CarbonTool, Coolset, Intelex, Persefoni, SweepThree alternatives
ESGgo, SME Climate Hub Calculators, Sustain.LifeTwo alternatives
ESG Lift, GreenlyGLM 4.7 FlashXGreenlyGreenlyHeldGreenly, NormativeESG Lift, Generation Impact Globalagainst: IBM Envizi, Watershed, Workivano first choiceagainst: Atlas Metrics, Benchmark Gensuite, Datamaran, EcoVadis, Enablon, EnergyCap, Greenly, IBM Envizi, Manglai, Position Green, Pulsora, RepRisk, Sphera Corporate Sustainability, Workiva
Three alternatives
ESGgo, Novata, Sustain.LifeOne alternative
MultiplyeFour alternatives
Diligent ESG, Manglai, Novata, SweepThree alternatives
ESGRI, EcoChain, Sustain.LifeMiniMax M2.5GreenlyCarbonAnalytics, HedgehogChangedGreenlyGreenly, Multiplyeno first choiceagainst: Greenly, IBM Envizi, Persefoni, Position Green, Pulsora, Salesforce Net Zero Cloud, Watershed, Workiva
Four alternatives
Benchmark Gensuite, Ecometrica, SAP Sustainability Control Tower, SpheraOne alternative
MultiplyeTwo alternatives
Climatta, NovataThree alternatives
ESGgo, Novata, Sustain.LifeGPT-6 LunaPersefoniCarbonAnalyticsChangedGreenlySME Climate Hubno first choiceagainst: IBM Envizi, Workiva
One alternative
GreenlyOne alternative
GreenlyFour alternatives
Diligent ESG, Persefoni, Plan A, WorkivaOne alternative
EPA's Simplified GHG Emissions CalculatorMuse Glimmer 30BWorkivaGreenlyChangedPersefoniagainst: WatershedGreenlyno first choiceagainst: Diligent ESG, FigBytes, IBM Envizi, Microsoft Cloud for Sustainability, Novisto, Persefoni, Position Green, Pulsora, Sphera, Watershed, Workiva
Three alternatives
Greenly, Pledge Carbon, ScopeFour alternatives
Carbonfact, Normative, Persefoni, carbmeeFour alternatives
Aclymate, Greenly, Normative, SweepSix alternatives
ESGgo, FigBytes, Novata, Persefoni, Pledge Carbon, Sustain.LifeBold 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 07:57 | yes | 9 | 6 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:32 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:24 | yes | 28 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:29 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:30 | yes | 25 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:01 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:10 | yes | 21 | 27 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:21 | yes | 5 | 5 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:43 | yes | 10 | 36 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:12 | yes | 15 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:59 | yes | 22 | 43 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:58 | yes | 5 | 17 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:07 | yes | 2 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:14 | yes | 22 | 26 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:49 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:31 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:55 | yes | 17 | 22 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:05 | yes | 17 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:15 | yes | 19 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:25 | yes | 5 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:36 | yes | 24 | 18 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:24 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:57 | yes | 11 | 60 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:28 | yes | 13 | 17 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:47 | yes | 21 | 62 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:13 | yes | 5 | 16 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:39 | yes | 2 | 16 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:13 | yes | 21 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:04 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:38 | yes | 5 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:01 | yes | 25 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:12 | yes | 20 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:52 | yes | 20 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:08 | yes | 22 | 37 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:23 | yes | 23 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:37 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:20 | yes | 18 | 111 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:28 | yes | 19 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:51 | yes | 23 | 30 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:02 | yes | 19 | 40 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:39 | yes | 5 | 31 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:48 | yes | 24 | 55 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:12 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:45 | yes | 4 | 7 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:51 | yes | 17 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:39 | yes | 19 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:24 | yes | 24 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:23 | yes | 10 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:47 | yes | 24 | 36 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:25 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:09 | yes | 24 | 41 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:33 | yes | 17 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:45 | yes | 22 | 22 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:27 | yes | 10 | 25 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:12 | yes | 2 | 22 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:36 | yes | 11 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:24 | no | 0 | 4 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:58 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:39 | yes | 17 | 36 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:22 | yes | 20 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:40 | yes | 10 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:59 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:31 | yes | 23 | 49 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:56 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:23 | no | 0 | 37 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:53 | yes | 15 | 23 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:40 | yes | 9 | 26 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:14 | yes | 5 | 36 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:25 | yes | 2 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:32 | no | 0 | 8 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:17 | yes | 16 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:46 | yes | 4 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:41 | yes | 13 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:37 | yes | 17 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:29 | yes | 22 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:45 | yes | 12 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:47 | yes | 21 | 37 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:46 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:41 | yes | 10 | 28 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:54 | yes | 22 | 31 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:42 | yes | 19 | 185 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:43 | yes | 19 | 29 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:31 | yes | 4 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:12 | yes | 23 | 33 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Diligent read as Diligent ESG
EcoOnline read as EcoOnline ESG
Gensuite read as Benchmark Gensuite
Microsoft Sustainability Manager read as Microsoft Cloud for Sustainability
SAP read as SAP Sustainability Control Tower
Unresolved, counted raw
Aclymate Explorer
Atlas Metrics
Avarni
B Corp's BIA
Carbonfact
Climatta
Cogo
Complezy Free Tools
Cozero
EPA's Simplified GHG Emissions Calculator
ESG Cockpit
ESGRI
Ecodiligence
Ecologi Zero
Ecometrica
GHG Protocol Free Tools
GRI-ESG KPI Tracker
GoClimate
Green Project
Green Project Technologies
KarbunWise
Motive ESG Free Resources
NetNada
Planet Tracker
Planmark
SME Climate Hub Business Carbon Calculator (Powered by Normative)
SME Climate Hub Calculators
Sage Earth (formerly Spherics)
Senseible
Switch ESG Platform
Tanso
Tao Climate Scope
Unravel Carbon
Updapt
Discontinued, still offered
No shut-down product was recommended here.