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Layers / Model / Foundation / Large language models

Large language models

COMPARE TWO OF THESE →

7 of 40 large language models listings publish a rate we can read. No single SKU is priced by two of them, so there is nothing to compare like for like yet.

General-purpose large language models, including open-weight model families.

40 in this category
7 PRICED · SORT AND VIEW BELOW

NARROW BY WHAT THIS CATEGORY ASKS

LICENCE · 13 NOT READ

INPUT MODALITIES · 21 NOT READ

STRUCTURED OUTPUT · 37 NOT READ

NO RATE ON RECORD · 33

We have not read a published rate for these. A dash in a price column reads as cheap; this reads as what it is. Some publish nothing, some quote on request, and some we have simply not reached.

langflowgpt_academicagentscopestormAlibaba Qwenfingptchinese-llama-alpacaMegatron CorepentestgptLightning AIhrmmosspocketflow01.AIMeta LlamaEleutherAIAllenAI OLMoodsfunclipdograhSQLite AIgenerative-ai-docsBigCodeAnswer.AIairunnergraphrag-local-ollamaSnowflake ArcticIBM GraniteAmazon NovaCohereMicrosoft PhiNous ResearchTII Falcon

ONE RATE PER PROVIDER — ITS CHEAPEST, WITH THE SKU IT IS FOR · A MEDIAN NEEDS EVERY OTHER SELLER’S PRICES, WHICH IS WHY NO VENDOR PUBLISHES ONE · EVERY RATE CARRIES THE PAGE IT WAS READ FROM AND THE DATE

SORTED BY ONE STATED COLUMN · USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY — NOT A POPULARITY FIGURE · NO OVERALL SCORE AND NO RANK COLUMN, BECAUSE BLENDING ADOPTION, STARS AND DOWNLOADS NEEDS WEIGHTS, AND WEIGHTS ARE AN OPINION PRESENTED AS ARITHMETIC

Cite this page

The count and its date sit inside the citation, because “Large language models” without a date is a claim that quietly goes wrong as the category fills.

infratoapp, “Large language models — Model / Foundation”, read 28 October 2026. 40 listed products. https://www.infratoapp.com/layers/models/llm

No overall score, and no rank column

Blending adoption, stars and downloads needs weights, and weights are an opinion presented as arithmetic — so this table sorts by one stated column at a time and shows which. This view holds no billing column and joins no billing table: a sponsor cannot appear higher, and the signals meter is a row’s own confidence, never a score you can sort on.

Frequently asked

What is in the Large language models category?
40 products in the Model / Foundation layer of the AI stack. General-purpose large language models, including open-weight model families. Listed members include langflow, DeepSeek and gpt_academic. Every fact on each listing carries the page it was read from and the date it was read.
How are Large language models compared here?
By the 10 attributes this category declares, asked of every member and answered only where a source states it. A product with no answer on record shows a gap rather than a guess, and no blended score is published — weights would be an opinion presented as arithmetic.
langflow or DeepSeek?
Both are listed under Large language models. We publish no verdict between them — we hold no benchmark that would support one. What we do hold is the same attribute sheet for each, side by side with the source behind every value, at /compare/deepseek-vs-langflow.
What does a blank mean on a large language models row?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A listing with a blank has not failed the question; it has not been read for it.
How often are large language models figures re-read?
Every value carries the date it was read and a link to the page it came from. Prices move fastest and are re-read most often; an attribute read weeks ago says so rather than presenting itself as current. Anything past 21 days is hidden rather than shown stale.
Is this every large language model there is?
No. This is 40 we have read and can cite. A directory that claimed completeness would be making a promise it cannot keep, so the page states its own count instead and says when a category is too thin to shortlist from.
Can a vendor pay to rank higher here?
No. Nothing on this page can be bought: a sponsor cannot enter a table, reorder a row or change a mark, and there is no ranked position for sale. How the site is paid for, and the line each source of money does not cross, is set out under money and independence at /our-data#sec5.