Algolia vs Klevu
Two of fourteen models named Algolia first on the direct prompt; one named Klevu. Algolia was named by fourteen of the fourteen models and Klevu by thirteen and Algolia carries 63 labels and Klevu 43, so the shares are not directly comparable.
Paris, France, founded 2012. 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 ecommerce search and merchandising page.
By framing
AlgoliaFirst choices, of fourteen modelsKlevu
Across every category in the October 2026 Edition, Algolia and Klevu were named in the same answer ninety-six times, of the 191 answers naming Algolia and the 105 naming Klevu. In those answers Klevu took the first choice eleven times and Algolia twenty-three.
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 | | | | |
Algolia Klevu first choice named as an alternative argued againstblank: not namedEach cell is one answer, Algolia on the left and Klevu on the right.The direct prompt
Algolia first, Klevu an alternative
2 of 14 modelsKlevu was named in the answer but not as the choice, or not at all.Klevu first, Algolia an alternative
1 of 14 modelsAlgolia was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
What the models said about Algolia
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Be terrified of consumption-based pricing (Algolia and Coveo both have "cliff" pricing models that blow up as you grow).” DeepSeek V4 Flash · negative prompt · hard negative
“What to avoid on a limited budget: Algolia — starts free but escalates quickly into $300–$500+/month” DeepSeek V4 Flash · budget prompt · hard negative
“Algolia draws setup-complexity, cost, and support complaints... It is risky if you want predictable pricing and merchandiser-owned tooling without engineering tickets.” Muse Glimmer 30B · negative prompt · soft negative
“Algolia combines keyword and vector search within a unified engine, delivering typo-tolerant, semantic results with sub-second response times” Claude Haiku 4.5 · comparative prompt · first choice
“Best known for speed, developer friendliness, and API-first flexibility... If you want fast implementation + strong APIs: Algolia” GPT-5.4 mini · comparative prompt · first choice
“*Algolia:* Known for blazing-fast speed, excellent developer documentation, and growing AI features. Excellent for headless setups.” Gemini 3.5 Flash · scale prompt · first choice
What the models said about Klevu
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Klevu's G2 review sample is very small, so individual complaints—including one about renewal terms—aren't enough to establish a general pattern” GPT-6 Luna · negative prompt · soft negative
“Klevu has less robust analytics and recommendations compared to other tools... may not scale well or support large catalogs” Claude Haiku 4.5 · negative prompt · soft negative
“Limited advanced merchandising — Strong on search basics, but users note gaps in complex merchandising features.” DeepSeek V4 Flash · negative prompt · soft negative
“Often top for mid-market B2B/B2C hybrids... "Mid-market value champion" with 32% conversion lifts” Grok 4.1 Fast · direct prompt · first choice
“Klevu: Best AI-First Option for Modern B2B ... Klevu is the gold standard” Gemini 3.5 Flash · paraphrase prompt · first choice
“I recommend Klevu as the best onsite product search engine” Mistral Small · paraphrase 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.