Articulate 360 vs H5P
Eleven of fourteen models named Articulate 360 first on the direct prompt; zero named H5P. Both were named by all fourteen models and Articulate 360 carries 37 labels and H5P 19, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the course authoring tools page.
By framing
Articulate 360First choices, of fourteen modelsH5P
Across every category in the October 2026 Edition, Articulate 360 and H5P were named in the same answer seventeen times, of the 128 answers naming Articulate 360 and the 44 naming H5P. In those answers H5P took the first choice five times and Articulate 360 four.
Every model, every framing
| 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 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | |
Articulate 360 H5P first choice named as an alternative argued againstblank: not namedEach cell is one answer, Articulate 360 on the left and H5P on the right.The direct prompt
Articulate 360 first, H5P not the choice
11 of 14 modelsH5P was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.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
Articulate 36030%#1 of 11H5P20%#2 of 11Articulate 36033%#1 of 10H5P0%#– of 10What the models said about Articulate 360
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: Articulate 360 ($1,199–$1,749/year) unless your budget allows” Kimi K2 · budget prompt · hard negative
“excellent, but it's usually not the best budget choice because it's priced for professional teams” GPT-5.4 mini · budget prompt · soft negative
“While this is the industry benchmark, there are significant cautions: Very high cost” DeepSeek V4 Flash · negative prompt · soft negative
“For most mid-market B2B companies, Articulate 360 offers the best balance of ease of use, comprehensive features, and ecosystem support.” Claude Haiku 4.5 · direct prompt · first choice
“Articulate 360 (The Industry Standard) Best for: Corporate training teams who need a mix of complex interactivity and quick design.” Qwen 3.7 Flash · comparative prompt · first choice
“The industry standard for professional instructional designers.... Best for: Professional L&D teams that need maximum flexibility” DeepSeek V4 Flash · comparative prompt · first choice
What the models said about H5P
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“H5P is the only fully open-source option and is the most capable free elearning authoring tool available for budget-constrained teams.” Claude Haiku 4.5 · budget prompt · first choice
“H5P is the best completely free option.... For a company with very limited budget (near zero): Start with H5P” MiniMax M2.5 · budget prompt · first choice
“The best eLearning authoring tool for a company with a limited budget is H5P, a free and open-source tool” Llama 4 Maverick · budget prompt · first choice
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.