GMXSOL has launched a perpetual contract for the S&P 500 ETF, enabling decentralized trading of real-world assets on the Solana blockchain. GMXSOL’s perpetual contract is powered by Chainlink, enhancing price
Verb Technology Company Inc. explained it has wrapped up a $558 million private placement to launch what it says will be the first publicly traded firm dedicated to holding toncoin (TON) as a treasury reserve asset. Kingsway-Backed Verb Raises $558M for Toncoin Treasury The deal, which was oversubscribed and carried out in partnership with Kingsway
NEAR Protocol rose 1.93% in the 24 hours to 15:00 UTC on Aug. 8, moving from $2.59 to $2.64. The token traded between $2.54 and $2.71, a 6.84% range that industry executives say highlights ongoing structural weaknesses in crypto markets and the need for clearer regulation. “These volatile trading patterns highlight the need for more robust market infrastructure and clearer regulatory frameworks,” said a senior executive at a major digital asset trading firm. Institutional flows drove much of the activity, with volume surging to 18.9 million units. Analysts pointed to the $2.62 to $2.66 zone as a focus for corporate treasuries and hedge funds. A sharp rejection at $2.67, accompanied by more than 120,000 units sold in four minutes, reflected algorithmic trading patterns that have caught regulators’ attention. Market watchers say the mix of heavy institutional buying and rapid selling shows the sophistication of corporate participation in crypto but also raises stability concerns. Financial Metrics and Investment Analysis NEAR fluctuated within an $0.18 band representing 6.84% volatility between $2.54 support and $2.71 resistance levels. Institutional trading activity peaked at 18.9 million units during Asian market hours, exceeding typical corporate trading patterns. $2.62-$2.66 consolidation attracted corporate investment flows and institutional accumulation strategies. $2.67 level triggered systematic selling protocols with over 120,000 units executed during algorithmic trading sequences. 1.13% decline from session peaks during concentrated selling window indicates institutional risk management protocols remain active. Disclaimer: Parts of this article were generated with the assistance from AI tools and reviewed by our editorial team to ensure accuracy and adherence to our standards . For more information, see CoinDesk's full AI Policy .
The XRP Army believes its recent victory against the SEC confirms they are on the “right side of history,” following the closure of Ripple’s legal battle. The SEC’s lawsuit against
Bitcoin is currently facing significant resistance at the $120,000 level, with market analysts predicting a potential breakthrough if it maintains above $116,900. Bitcoin’s recent rally has brought it close to
Gemini looks smart, but can it actually trade? We put it to the test with sample trades and break down where it helps and where it doesn’t.
Shiba Inu (SHIB) has a 114% imbalance between bulls and bears, indicating a stronger bullish sentiment in the market. 77 bulls compared to 67 bears suggest increased confidence in SHIB’s
BitcoinWorld OpenAI GPT-5: Revolutionary Pricing Unleashes AI Price War The cryptocurrency and broader tech world just witnessed a seismic shift. OpenAI, a dominant force in artificial intelligence, has once again sent shockwaves through the industry. Hot on the heels of releasing two new freely available models under an open-source license, the company unveiled its flagship model, OpenAI GPT-5 , with pricing so aggressive it could ignite an unprecedented AI price war . For developers, startups, and enterprises leveraging AI, this move signals a transformative period for LLM pricing and the entire generative AI landscape. The Shockwave: OpenAI GPT-5 ‘s Unbeatable Value OpenAI CEO Sam Altman proudly declared GPT-5 “the best model in the world.” While initial reports from sources like Bitcoin World’s Maxwell Zeff suggest its performance slightly varies against top competitors like Anthropic, Google DeepMind, and xAI across benchmarks, GPT-5 consistently delivers strong results, particularly in complex tasks like coding. However, the true game-changer isn’t just its intelligence; it’s its accessibility through revolutionary pricing. Altman’s tweet, “Very happy with the pricing we are able to deliver!” encapsulates the sentiment. The top-tier GPT-5 API is priced at an astonishing $1.25 per 1 million input tokens and $10 per 1 million output tokens, with cached input at $0.125 per 1 million tokens. This isn’t just competitive; it’s a strategic maneuver designed to disrupt the market. How Does LLM Pricing Compare? To fully grasp the significance of OpenAI’s move, let’s compare GPT-5’s LLM pricing against its primary rivals. The pricing strategy directly challenges established norms and puts immense pressure on competitors. Google Gemini 2.5 Pro: OpenAI’s GPT-5 pricing closely mirrors Google’s Gemini 2.5 Pro basic subscription, especially popular for coding tasks. However, Google’s model levies higher charges for heavy consumption, specifically beyond 200,000 prompts. This means high-volume users might find GPT-5 significantly more economical. Anthropic Claude Opus 4.1: This is where OpenAI delivers a knockout punch. Anthropic’s Claude Opus 4.1, a favorite among programmers and integrated into tools like Cursor and Claude Code, starts at a much higher $15 per 1 million input tokens and $75 per 1 million output tokens. While Anthropic offers discounts for prompt caching and batch processing, OpenAI’s baseline pricing is dramatically lower. OpenAI GPT-4o: Remarkably, GPT-5 isn’t just undercutting competitors; it’s also more affordable than its predecessor, GPT-4o. Matt Shumer, co-founder and CEO of OthersideAI, highlighted this, stating, “GPT-5 is cheaper than GPT-4o, which is fantastic. Intelligence per dollar continues to increase.” This internal competition further solidifies OpenAI’s commitment to driving down costs. The table below provides a clearer snapshot of the stark differences in LLM pricing : Model Input Tokens (per 1M) Output Tokens (per 1M) Notes OpenAI GPT-5 $1.25 $10.00 Plus $0.125 for cached input. Aggressive. Google Gemini 2.5 Pro ~$1.25 (basic) ~$10.00 (basic) Higher costs for heavy usage (over 200k prompts). Anthropic Claude Opus 4.1 $15.00 $75.00 Offers discounts for caching/batch processing. The Developer’s Delight: Fueling Generative AI Innovation Developers are already hailing GPT-5’s pricing as a game-changer. Simon Willison, a prominent developer featured in OpenAI’s launch video, emphasized, “The pricing is aggressively competitive with other providers.” This sentiment echoes across the developer community, with many on X (formerly Twitter) calling it a “pricing killer” and similar praise appearing on Hacker News. This cost reduction directly impacts the viability and profitability of startups building on generative AI models. Lower API costs mean developers can experiment more, iterate faster, and deploy applications with significantly reduced operational overhead. This democratization of advanced AI capabilities could unlock a new wave of innovation, making sophisticated AI tools accessible to a broader range of creators and businesses. Is an AI Price War Inevitable? The big question looming over the industry is whether competitors will match OpenAI’s aggressive pricing. Will Anthropic be forced to lower its rates for Claude Opus 4.1? Will Google, which has previously undercut OpenAI on pricing, respond with even more affordable options for Gemini? If so, we are on the cusp of a much-anticipated AI price war , a scenario many in Silicon Valley have long hoped for. Such a price war would be a boon for the entire AI ecosystem. Startups building “vibe-coding” tools, for instance, have struggled with the “shaky economics” caused by the high and unpredictable fees charged by model makers, as reported by Bitcoin World’s Marina Temkin. Countless other startups relying on foundational AI models also face similar challenges. A reduction in inference costs and an improved price-to-performance ratio for LLMs would provide much-needed stability and predictability, fostering sustainable growth. The Paradox: High Investments vs. Lower Costs for AI Models This aggressive pricing comes amidst enormous investments in AI infrastructure. OpenAI itself has a staggering $30 billion-per-year contract with Oracle for cloud capacity, despite its annual recurring revenue only recently hitting $10 billion. Similarly, Meta plans to spend up to $72 billion on AI infrastructure in 2025, and Alphabet has allocated $85 billion for capital expenditures in 2025, largely driven by AI needs. Given these colossal expenses, the typical expectation is for costs to rise, not fall. The tech industry has been pouring hundreds of billions into building data centers and the underlying infrastructure required to support the escalating demand for AI models . This makes OpenAI’s move to lower pricing a bold and somewhat counter-intuitive gamble. It suggests a long-term strategy focused on market dominance and accelerating adoption, even if it means operating at lower margins in the short term. Despite the immense capital outlays, OpenAI’s dual move—releasing open-source models and aggressively pricing GPT-5—signals a clear intent to put pressure on the entire market. The industry eagerly awaits to see if other major players will follow suit, transforming the competitive landscape for AI models . The Future of Generative AI : A Win for Innovation? OpenAI’s strategic pricing of GPT-5 is more than just a marketing tactic; it’s a profound statement about the future of generative AI . By making powerful models more accessible and affordable, OpenAI is accelerating the pace of innovation across various sectors, from coding and content creation to scientific research and enterprise solutions. This could lead to an explosion of new applications and services that were previously economically unfeasible. While the long-term implications for the profitability of major AI players remain to be seen, the immediate beneficiaries are the developers, startups, and businesses that rely on these foundational models. A competitive pricing environment will drive efficiency, encourage adoption, and ultimately push the boundaries of what generative AI can achieve. Conclusion: A New Era for AI OpenAI’s GPT-5 launch, particularly its pricing strategy, marks a pivotal moment in the evolution of artificial intelligence. It challenges the status quo, potentially initiating a much-needed AI price war that could democratize access to advanced capabilities and foster unprecedented innovation. As the industry grapples with massive infrastructure investments, this move signals a shift towards greater affordability and accessibility for LLM pricing , benefiting the entire ecosystem of generative AI and the countless applications built upon these powerful AI models . To learn more about the latest AI market trends, explore our article on key developments shaping AI models’ features and institutional adoption. This post OpenAI GPT-5: Revolutionary Pricing Unleashes AI Price War first appeared on BitcoinWorld and is written by Editorial Team
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The SEC suing Ripple in 2020 prompted the XRP Army to mobilize, and now it's stronger than ever and celebrating its victory.