| Time Period | Price Change (USD) | Price Change (%) |
|---|---|---|
| Today | $ 0.0000010 | +0.74% |
| 30 Days | $ 0.000014 | +11.47% |
| 60 Days | $ -0.000021 | -13.37% |
| 90 Days | $ -0.0000070 | -4.89% |
LARGE LANGUAGE MODEL (LLM) is a crypto token tracked by public market data pages under the ticker LLM. The token is identified with the Solana LLM token context, with market categories that include Meme, AI Meme, Solana ecosystem, and Pump.fun ecosystem. Its name references the artificial intelligence term “large language model,” but available public market information does not verify that LLM operates an AI model, AI infrastructure product, or software protocol. For SEO and user education, it is best understood as a community-driven crypto asset whose identity is built around internet culture, AI-themed branding, and speculative attention rather than a documented technical service. On a KCEX price page, LARGE LANGUAGE MODEL (LLM) can be described as a small-cap, Solana-based meme asset where liquidity, visibility, token supply, and social traction are more important to understanding market behavior than protocol revenue or enterprise adoption.
The Solana LLM token works as a tradable token within the Solana ecosystem, using Solana-based token infrastructure for transfers, wallet balances, and on-chain market activity. Public trackers show a circulating supply close to one billion LLM tokens, which means price movements can be interpreted against a large token count and a fully circulating or nearly fully circulating supply profile. Because verified public information does not show a separate application, staking system, governance process, or fee-sharing mechanism for LARGE LANGUAGE MODEL, its practical market function is mainly token ownership and trading participation.
For a meme asset, coordination often happens through community channels, social discovery, chart watching, and short-term attention cycles. The token’s AI-themed name may help it appear in searches for “LLM crypto price,” “Large Language Model token,” or “AI meme coin on Solana,” but that branding should not be confused with confirmed AI product utility. The token’s role is therefore best explained as a Solana ecosystem meme token whose activity depends on market access, holder interest, liquidity conditions, and the ability of its theme to remain recognizable in fast-moving crypto conversations.
The main use case for the Solana LLM token is market participation around a recognizable AI-themed meme identity. Users may search for phrases such as “LARGE LANGUAGE MODEL LLM price,” “LLM token market cap,” “LLM USDT price on KCEX,” “Large Language Model crypto supply,” or “Solana AI meme coin LLM.” These searches usually reflect price tracking, token discovery, and comparison with other AI-themed community tokens rather than demand for a documented software product.
LLM can also be used for community participation, watchlist tracking, and on-chain token analysis. Holders may monitor liquidity, supply distribution, trading volume, contract activity, and social discussion to understand whether attention is expanding or fading. Since no reliable public source verifies a dedicated product layer, the realistic use case is not enterprise AI utility; it is participation in a meme token market where the LARGE LANGUAGE MODEL brand, Solana ecosystem visibility, and community interest shape how users evaluate the token.
The value of LARGE LANGUAGE MODEL (LLM) is influenced by ecosystem growth, adoption signals, utility expectations, market demand, and narrative-specific factors. For the Solana LLM token, the most relevant drivers are community strength, AI-themed social attention, speculative demand, exchange availability on KCEX, risk appetite, supply structure, and Solana ecosystem activity.
Community Growth matters because LLM’s verified public profile is stronger as an AI-themed meme asset than as a documented product token. More holders, active discussion, and recurring community participation can increase awareness of the LARGE LANGUAGE MODEL brand. For a small-cap Solana LLM token, community expansion may support demand by making the token easier to discover and follow.
Social Media Attention can strongly affect meme token activity because visibility often moves faster than fundamentals. If LARGE LANGUAGE MODEL becomes part of AI crypto discussions, Solana token conversations, or LLM price searches, more traders may monitor it. Attention does not guarantee lasting value, but it can influence short-term liquidity, watchlist additions, and demand for the Solana LLM token.
Market Speculation is important because LLM has limited verified project utility in public sources. In this situation, traders may focus on chart structure, market cap, supply, and narrative timing instead of protocol performance. Speculation can create sudden demand, but it can also reverse quickly when attention moves elsewhere, making the LARGE LANGUAGE MODEL token sensitive to sentiment changes.
Exchange Listings affect accessibility and liquidity. For a KCEX price page, the relevant exchange context is KCEX availability, which can make the LLM/USDT market easier for users to track. More visible market access may support price discovery and trading volume, while thin liquidity can make the Solana LLM token more sensitive to individual orders.
Risk Appetite drives how much capital traders are willing to allocate to smaller meme assets. When crypto market participants favor higher-risk themes, AI-linked meme tokens such as LARGE LANGUAGE MODEL may receive more attention. When conditions become defensive, demand can weaken quickly because users may prefer larger or more liquid assets over a small-cap Solana LLM token.
The Solana and Pump.fun ecosystem identity is a coin-specific factor because public market pages associate LLM with those categories. This positioning helps users classify LARGE LANGUAGE MODEL among fast-launching, community-led Solana tokens. Ecosystem visibility can improve discovery, but it also places LLM in a competitive environment where many similar tokens compete for attention and liquidity.
LLM’s near-one-billion token supply profile is another coin-specific factor. Public market data shows a circulating supply close to the total supply, so market capitalization and fully diluted valuation can remain closely aligned. This structure helps users interpret the Solana LLM token price, but it also means demand must be evaluated against a large number of tokens in circulation.
LARGE LANGUAGE MODEL (LLM) is currently trading at $0.00013 USD on KCEX. This reflects a 0.00% change over the past 24 hours.
LARGE LANGUAGE MODEL has a market capitalization of $135.97K USD, ranking #5264 among all cryptocurrencies. Market cap is calculated by multiplying the current price by the circulating supply.
The current circulating supply of LLM is 999.85M out of a maximum supply of 999.88M. This means approximately 99.99% of all LLM that will ever exist is already in circulation.
LARGE LANGUAGE MODEL reached its all-time high of $0.143695 USD on 2025-01-09. The current price is approximately 99.90% below that peak.
LARGE LANGUAGE MODEL hit its all-time low of $0.00009998 USD on 2026-02-24. Since then, LLM has gained over 36.02% from that level.
You can buy LLM on KCEX by creating a free account, completing verification, and depositing funds via crypto transfer. LLM/USDT is available for both spot trading and futures trading on KCEX.
LARGE LANGUAGE MODEL is currently priced at $0.00013 USD with a 24h change of 0.00% and a 7-day change of -2.85%. Investment decisions depend on your own research and risk tolerance - always do your own due diligence before trading.
KCEX offers zero maker fees on LLM/USDT spot trading. Taker fees are among the lowest in the industry, making KCEX a cost-effective platform for trading LARGE LANGUAGE MODEL. For a full breakdown of trading fees, visit the KCEX Fee Schedule.