Every category where a model named Langfuse for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
LLM gateways and observability	Data platform	9%	4 of 63	0%	11	accepted challenger
ML platforms	Data platform	0%	70 of 99	0%	1	under 10 labels · led by Azure Machine Learning at 17%

Movement

This is the first edition on this tier, so no move can be computed for Langfuse yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Langfuse across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	1	0	1
GPT-5.4 mini	1	0	1	2
Gemini 3.5 Flash	0	1	1	2
Perplexity Sonar	1	0	0	1
Grok 4.1 Fast	0	0	0	0
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	1	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	1	0	0	1
Kimi K2	0	1	1	2
GLM 4.7 FlashX	0	1	0	1
MiniMax M2.5	1	0	0	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase27 labels11

Comparative1 labelNone

Budget-constrained0 labelsNone

Scale-constrained2 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative31 labels in all, every segment counted; 11 of the 11 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“I'd recommend Langfuse as the default LLM observability and routing-adjacent platform” Perplexity Sonar · LLM gateways · paraphrase prompt · first choice

“Start with Langfuse for its flexibility and strong open-source heritage.” Qwen 3.7 Flash · LLM gateways · paraphrase prompt · first choice

“I'd usually recommend Langfuse as the default choice” GPT-5.4 mini · LLM gateways · paraphrase prompt · first choice

“Start with Langfuse or Helicone” MiniMax M2.5 · LLM gateways · paraphrase prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Langfuse, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Langfuse was named but was not.

ProductSame answerTook the first choice insteadHead to head

Portkey20 of 318Not in the top three

Helicone19 of 311Not in the top three

LangSmith16 of 310Not in the top three

Braintrust13 of 313Not in the top three

LiteLLM12 of 313Not in the top three

Confident AI6 of 312Not in the top three

Kong AI Gateway5 of 311Not in the top three

OpenRouter5 of 311Not in the top three

Datadog5 of 310Not in the top three

Arize AI4 of 310Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Langfuse. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 25 of the 31 answers that named Langfuse and are not a share of its labels.

Domains cited

confident-ai.com17

braintrust.dev16

toolradar.com14

fastrouter.ai12

fast.io9

firecrawl.dev9

galileo.ai9

langchain.com9

theairankings.com9

helicone.ai8

112 of the 112 domain citations in answers naming Langfuse came from somebody else's page.

Pages cited

toolradar.com/guides/best-llm-observability-tools14

braintrust.dev/articles/best-llm-gateways-observability-202612

braintrust.dev/articles/best-llm-routers-20269

confident-ai.com/knowledge-base/compare/10-llm-observability-tools-to-evaluate-and-monitor9

confident-ai.com/knowledge-base/compare/best-enterprise-llm-observability-tools9

firecrawl.dev/blog/best-llm-observability-tools9

langchain.com/resources/llm-observability-tools9

theairankings.com/best-llm-observability-tools9

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Langfuse's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Langfuse, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at langfuse.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.