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Corporate tax provision · September 2026 Edition
Thomson Reuters ONESOURCE Tax Provision vs Avalara
Nine of twelve models named Thomson Reuters ONESOURCE Tax Provision first on the direct prompt; zero named Avalara. Thomson Reuters ONESOURCE Tax Provision was named by twelve of the twelve models and Avalara by nine and Thomson Reuters ONESOURCE Tax Provision carries 33 labels and Avalara 11, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories this edition.
First-choice share26%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%27%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 9; printed, not drawn.
Labels3311A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Thomson Reuters ONESOURCE Tax Provision reading right to left. Rank and label count are printed, not drawn.Thomson Reuters ONESOURCE Tax Provision vs Bloomberg Tax Provision · Thomson Reuters ONESOURCE Tax Provision vs Thomson Reuters ONESOURCE · Thomson Reuters ONESOURCE Tax Provision vs Longview Tax
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the corporate tax provision page.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Thomson Reuters ONESOURCE Tax ProvisionFirst choices, of twelve modelsAvalara
Direct90
Paraphrase132 against Avalara
Comparative50
Budget-constrained003 against Thomson Reuters ONESOURCE Tax Provision
Scale-constrained101 against Thomson Reuters ONESOURCE Tax Provision
Negative001 against Thomson Reuters ONESOURCE Tax Provision · 1 against Avalara
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
Every model, every framing
The seventy-two answers behind the chart above, one cell each: where Thomson Reuters ONESOURCE Tax Provision and Avalara stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | |||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | |||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | |
Thomson Reuters ONESOURCE Tax Provision Avalara first choice named as an alternative argued againstblank: not namedEach cell is one answer, Thomson Reuters ONESOURCE Tax Provision on the left and Avalara on the right.The direct prompt
The plain question, one answer per model, grouped by where Thomson Reuters ONESOURCE Tax Provision and Avalara stood in it.
Thomson Reuters ONESOURCE Tax Provision first, Avalara an alternative
9 of 12 modelsAvalara was named in the answer but not as the choice, or not at all.GPT-5.4 miniThomson Reuters ONESOURCE Tax Provision alternatives: CCH Axcess/ProSystem fx tax provision offerings, Longview Tax, ONESOURCE Income Tax / Direct Tax Essential
Perplexity SonarThomson Reuters ONESOURCE Tax Provision alternatives: CSC Corptax, Wolters Kluwer CCH Tagetik Tax Provision & Reporting
Grok 4.1 FastThomson Reuters ONESOURCE Tax Provision alternatives: TaxPoint, Taxfyle, Vertex Tax Accounting
Mistral SmallThomson Reuters ONESOURCE Tax Provision alternatives: Sovos Tax Provision, Vertex Tax Accounting
DeepSeek V4 FlashBloomberg Tax Provision, Thomson Reuters ONESOURCE Tax Provision alternatives: Sovos Tax Provision, Vertex Tax Accounting
Llama 4 MaverickThomson Reuters ONESOURCE Tax Provision alternatives: Avalara, CCH Axcess Tax, Taxfyle
Kimi K2Thomson Reuters ONESOURCE Tax Provision alternatives: CCH Tagetik, FloQast Tax Provision, Longview Tax, Lucasys Tax Provision, Sovos Tax Provision
GLM 4.7 FlashXThomson Reuters ONESOURCE Tax Provision alternatives: Bloomberg Tax Provision, Longview Tax, Sovos Tax Provision
MiniMax M2.5Bloomberg Tax Provision, Thomson Reuters ONESOURCE Tax Provision alternatives: CCH Tagetik Tax Provision & Reporting, Taxfyle, Vertex Tax Accounting
Neither was the first choice, one was named
1 of 12 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashBloomberg Tax Provision alternatives: Exactera Tax Provision, Longview Tax, Thomson Reuters ONESOURCE Tax Provision, Vena Solutions
Neither was named
2 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5no first choice alternatives: Bloomberg Tax Provision, CSC Corptax, Longview Tax, Thomson Reuters ONESOURCE
Qwen 3.7 FlashLongview Tax alternatives: Bloomberg Tax Provision, CSC Corptax, Thomson Reuters ONESOURCE
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Avalara leads by four points.
Avalara6%#3 of 9Thomson Reuters ONESOURCE Tax Provision2%#6 of 9Mid-marketThe figures above
The order flips: Thomson Reuters ONESOURCE Tax Provision leads at mid-market.
Thomson Reuters ONESOURCE Tax Provision26%#1 of 9Avalara7%#5 of 9Enterprise
Thomson Reuters ONESOURCE Tax Provision leads by forty-three points.
Thomson Reuters ONESOURCE Tax Provision43%#1 of 9Avalara0%#– of 9What the models said about Thomson Reuters ONESOURCE Tax Provision
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“mid-market enterprises or lean tax teams (fewer than 5–10 people) should approach them with caution” Gemini 3.5 Flash · negative prompt · soft negative
“these systems may represent more cost, complexity, and implementation friction than you need” Gemini 3.5 Flash · scale prompt · soft negative
“routinely costs between $50,000 and $100,000+ annually in licensing and implementation fees” Gemini 3.5 Flash · budget prompt · soft negative
“For most mid-market B2B companies, ONESOURCE Tax Provision is the safest choice due to its balance of power, audit readiness, and scalability.” Kimi K2 · direct prompt · first choice
“Leading solution for automating ASC 740 tax provision calculations, ETR analysis, and financial disclosures with robust integrations” Claude Haiku 4.5 · comparative prompt · first choice
“OTP is the market-heavyweight software.... Best For: Large, multinational corporations seeking an end-to-end global tax ecosystem.” Gemini 3.5 Flash · comparative prompt · first choice
What the models said about Avalara
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Platforms like *Avalara AvaTax*, *TaxJar*, or *Anrok* ... they do not file corporate income taxes” Gemini 3.5 Flash · paraphrase prompt · hard negative
“Automated sales tax tools improperly configured (e.g., Avalara) ... "garbage in, garbage out."” DeepSeek V4 Flash · negative prompt · soft negative
“I would recommend Avalara as the default choice if you need broad, scalable compliance coverage and ERP integration.” Perplexity Sonar · paraphrase prompt · first choice
Also compared
Thomson Reuters ONESOURCE Tax Provision vs Bloomberg Tax ProvisionThomson Reuters ONESOURCE Tax Provision vs Thomson Reuters ONESOURCEThomson Reuters ONESOURCE Tax Provision vs Longview TaxThomson Reuters ONESOURCE Tax Provision vs VertexBloomberg Tax Provision vs AvalaraThomson Reuters ONESOURCE vs AvalaraLongview Tax vs AvalaraAvalara vs VertexAll fifteen head-to-head pages and the full corporate tax provision standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.