13 AI models forecast Bitcoin $50K-$145K by end 2026

An experiment on May 30, 2026 asked 13 AI models for bitcoin’s Dec. 31, 2026 closing price; predictions ranged from $50,000 to $145,000, with most between $88,000 and $122,000.

On May 30, 2026, an experiment asked 13 leading AI models to provide a definitive closing price for bitcoin on Dec. 31, 2026. The prompt noted bitcoin’s all-time high of $126,272 in October 2025 and its price near $73,900 in late May 2026.

The models’ estimates ranged from $50,000 to $145,000. Deepseek returned the lowest single figure, $50,000. Grok returned the highest single figure, $145,000. Most models produced numbers clustered between $88,000 and $122,000, and one model offered a range rather than a single value.

Several models provided mid-range targets and short rationales. Two models, Microsoft Copilot and Gemini Flash 3.5, projected year-end prices near $92,500 and cited improving liquidity and resumed ETF inflows. KIMI AI projected $92,000, describing a Q3 washout followed by a Q4 rebound tied to shifting rate-cut expectations. Lechat Mistral estimated $95,000. ChatGPT 5.5 in its “Thinking” mode returned $98,750 and framed that as a recovery from the post-peak decline without retesting the October 2025 high. Qwen 3.6 Plus produced a more bullish $106,800, referencing low exchange reserves and reduced miner selling. Claude Opus provided a range of $80,000 to $95,000 rather than a single figure.

Market conditions cited in the experiment provide context for the spread of views. U.S. spot bitcoin ETFs posted more than $2.8 billion in outflows over a nine-day stretch in late May 2026, including a $733 million single-day withdrawal on May 27; one large fund accounted for roughly $528 million of that outflow. Geopolitical tensions, a stronger dollar and hotter-than-expected inflation readings were reported as factors weighing on risk assets and on the timing of Federal Reserve rate cuts. Bitcoin reached intraday lows near $72,400 before buyers stepped in around $72,000–$73,000 and the token made a modest recovery into the weekend. The price settled near $73,500 on the Friday of that week, down about 4% from a Monday opening above $77,000.

Models cited a common set of drivers when explaining their forecasts: constrained post-halving supply, potential institutional ETF demand, on-chain metrics such as exchange reserve levels, miner selling pressure, and macro variables including Fed policy and inflation. Differences in how each model weighted those factors produced the wide range of predictions.

The experiment’s numeric spread—$50,000 to $145,000-and the concentration of many models in the $88,000–$122,000 band reflect the variety of assumptions about ETF flows, future Fed decisions and institutional buying. Market participants are monitoring ETF flows, macroeconomic releases and on-chain indicators to test those assumptions as 2026 progresses.

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