IT AI Index
Index Cloud and infrastructure IaC › Terraform vs OpenTofu
Infrastructure as code · September 2026 Edition

Terraform vs OpenTofu

Ten of twelve models named Terraform first on the direct prompt; five named OpenTofu. Both were named by all twelve models and Terraform carries 70 labels and OpenTofu 49, so the shares are not directly comparable.

Terraform

endorsed leader

Named in one category this edition.

OpenTofu

endorsed leader

Named in one category this edition.

First-choice share46%39%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate20%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 12; printed, not drawn.
Labels7049A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Terraform reading right to left. Rank and label count are printed, not drawn.Pulumi was named alongside these two in eleven of the twelve direct answers. Terraform vs Pulumi · OpenTofu vs Pulumi

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 infrastructure as code page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
TerraformFirst choices, of twelve modelsOpenTofu
Direct105
Paraphrase951 against Terraform
Comparative101
Budget-constrained3115 against Terraform
Scale-constrained41
Negative247 against Terraform
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.

The direct prompt

The plain question, one answer per model, grouped by where Terraform and OpenTofu stood in it.

Both were the first choice

4 of 12 modelsThe answer named them together, and the judge labeled each a first choice.
GPT-5.4 miniOpenTofu, Terraform alternatives: AWS CloudFormation, Azure Bicep, Pulumi
Grok 4.1 FastOpenTofu, Terraform alternatives: AWS CloudFormation / CDK, Atlantis, Pulumi
Kimi K2OpenTofu, Terraform alternatives: AWS CDK, Pulumi
GLM 4.7 FlashXOpenTofu, Terraform alternatives: AWS CDK, AWS CloudFormation, Pulumi

Terraform first, OpenTofu an alternative

6 of 12 modelsOpenTofu was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Terraform alternatives: AWS CloudFormation, Ansible, Pulumi
Perplexity SonarTerraform alternatives: Ansible, OpenTofu, Pulumi
Mistral SmallTerraform alternatives: AWS CDK, Azure Bicep, OpenTofu, Pulumi
DeepSeek V4 FlashTerraform alternatives: AWS CloudFormation, Ansible, OpenTofu, Pulumi
Qwen 3.7 FlashTerraform alternatives: AWS CDK, Ansible, Azure Bicep, Pulumi
MiniMax M2.5Terraform alternatives: AWS CloudFormation, Pulumi

OpenTofu first, Terraform an alternative

1 of 12 modelsTerraform was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashOpenTofu alternatives: Pulumi, Spacelift, Terraform, env0

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice

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
Terraform leads by seventeen points.
Terraform50%#1 of 11
OpenTofu33%#2 of 11
The full small business standing →
Mid-marketThe figures above
Terraform leads by seven points.
Terraform46%#1 of 12
OpenTofu39%#2 of 12
The full mid-market standing →
Enterprise
Terraform leads by forty points.
Terraform58%#1 of 14
OpenTofu18%#2 of 14
The full enterprise standing →

What the models said about Terraform

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid starting new projects with: 1. Terraform under BSL (use OpenTofu instead)” Kimi K2 · negative prompt · hard negative
“HashiCorp changed Terraform’s license from the open-source MPL 2.0 to the restrictive Business Source License (BSL)... raises long-term concerns about price hikes” Qwen 3.7 Flash · negative prompt · soft negative
“Terraform's 2023 licensing change to BUSL-1.1 (no longer open source) and inherent limitations with domain-specific languages create challenges” Claude Haiku 4.5 · negative prompt · soft negative
“Terraform is often the safest choice for mid-market companies because it offers flexibility, a mature ecosystem, strong community support, and cloud-agnostic capabilities” Claude Haiku 4.5 · direct prompt · first choice
“For most mid-sized B2B companies, Terraform is the safest and most flexible choice due to its maturity, multi-cloud support, and extensive ecosystem.” Mistral Small · paraphrase prompt · first choice
“For a typical mid-market B2B company, I'd usually start with Terraform — or OpenTofu if you want an open-source, community-governed alternative.” GPT-5.4 mini · direct prompt · first choice

What the models said about OpenTofu

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“If you require strict open-source guarantees (OSI-approved), consider OpenTofu, which is an established community-led fork of Terraform under the MPL 2.0 license.” Qwen 3.7 Flash · negative prompt · first choice
“OpenTofu | Seamless migration from old Terraform, open-source MPL 2.0 license, and fast-paced community innovation.” Gemini 3.5 Flash · scale prompt · first choice
“the best infrastructure-as-code (IaC) tool is OpenTofu (or Terraform), specifically when self-hosted” Qwen 3.7 Flash · budget prompt · first choice
Also compared

Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.