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We Asked 8 AI Chatbots to Predict Bitcoin's Price, Here's the Verdict

On September 27, 2026 by voice

8 Leading AI Chatbots Predict Bitcoin’s Year-End Price

Historically, August and September have rarely been kind to bitcoin prices, but these past two months, the leading cryptocurrency has managed to flip the script. According to Coinglass historical return data, bitcoin’s price posted a significant 24.95% gain in August, and as of Sept. 26, $BTC has climbed a respectable 7.03%.

Institutional demand has returned, with exchange-traded fund (ETF) inflows lending further support to bitcoin’s price, while $BTC proponents, prediction market bettors and even Wall Street appear increasingly bullish about its prospects. Against this backdrop, we put a sizable roster of today’s leading AI chatbots to the test, asking where bitcoin might stand by year’s end, specifically around Dec. 31, 2026.

The prompt was deliberately straightforward, offering a handful of relevant details without introducing unnecessary complexity or steering the AI forecasts in any particular direction. The chatbots queried included Google’s Gemini Pro 3.1, Kimi AI’s Kimi K3, Anthropic’s Claude Opus 5.5 (High Intelligence), xAI’s Grok 4.7, Mistral Medium 3.5, Pi AI’s Inflection-2, Deepseek’s Deepthink and OpenAI’s ChatGPT Astra.

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The prompt presented to each chatbot was as follows:

“Bitcoin is trading just below $85,000, having gained 26% over the past six months. Exchange-traded fund (ETF) demand has strengthened, and Strategy resumed its $BTC purchases last week. Meanwhile, the ongoing conflict between the U.S. and Iran continues to unsettle global markets, with no clear end to the war in sight. Bitcoin also stands 64 days away from T-500, a historical cycle milestone marking the 500-day countdown to its fifth halving.

Drawing on your expertise as a seasoned bitcoin analyst, assess the cryptocurrency’s potential trajectory through year-end and provide a concise, well-reasoned explanation for your forecast in no more than two to three sentences. Establish a definitive closing price for $BTC on Dec. 31, 2026, expressed in U.S. dollars. What is your precise year-end price estimate?”

Google’s Gemini Pro 3.1 answer:

While geopolitical tensions and macroeconomic uncertainty create persistent risk-off friction, continuous ETF absorption and corporate treasury accumulation are systematically draining liquid exchange reserves ahead of the pre-halving cycle transition. This persistent supply constraint is expected to outpace macro headwinds, sustaining an upward trajectory toward cycle resistance as institutional liquidity anchors the market floor. Factoring in this structural accumulation against projected volatility, the modeled closing price for $BTC on December 31, 2026, is $96,500.

Kimi AI’s Kimi K3 answer:

Anthropic’s Claude Opus 5.5 high intelligence answer:

xAI’s Grok 4.7 answer:

Mistral Medium 3.5 answer:

Pi AI’s Inflection-2 answer:

Based on current momentum, ETF inflows, and the tightening halving cycle, I see Bitcoin finishing 2026 near $115,000 — a clear climb from here, driven more by institutional positioning than retail. The path won’t be smooth, but the macro setup favors steady upward pressure as we close in on T-500.

Deepseek’s Deepthink answer:

I anticipate $BTC will trade positively, albeit with some volatility, through the end of the year, as ETF inflows and corporate treasury purchases help lift its price toward the low $110,000s, while ongoing U.S.-Iran tensions limit further upside; the T-500 milestone encourages accumulation but is unlikely to trigger a major rally on its own. My exact closing price prediction for Dec. 31, 2026, is $112,000.

OpenAI’s ChatGPT Astra answer:

My precise forecast for bitcoin’s Dec. 31, 2026, closing price is $95,000, a base-case estimate implying roughly 12% upside from $85,000. Given the conditions you describe, stronger ETF demand and renewed Strategy purchases favor further gains, while the U.S.-Iran war could fuel inflation and risk aversion, keeping the advance uneven. I give those demand flows more weight than T-500: the milestone itself does not reduce issuance, with the next actual supply cut expected in 2028.

Jev Weighs Eight AI Bitcoin Forecasts and Picks Kimi’s $96,000 Target

The AI models differed less on bitcoin’s direction than on which market forces would ultimately carry the most weight, with Gemini, Kimi, Claude and ChatGPT occupying the more cautious end, Grok holding the middle ground, and Mistral, Pi and Deepseek staking out the bullish territory. This divergence may reflect differing underlying assumptions rather than access to fundamentally different information. After consulting the conventional AI models, we turned to the large language model Jev.

Typesafe AI’s Jev is a formal verification toolkit for AI-generated code that employs type theory and proof assistants to mathematically establish whether LLM outputs satisfy predefined specifications before they are trusted, rather than relying exclusively on probabilistic testing. Its distinguishing feature is the pursuit of demonstrable correctness rather than statistical confidence alone.

Jev’s plausibility ratings of each model’s prediction.

Bitcoin.com News gave Jev two assignments, asking it to identify the forecast most consistent with the information provided and evaluate each bitcoin price prediction using the same four-point scale, ranging from poor fit to strong fit. Jev selected Kimi’s $96,000 forecast. Its assessments generally favored the more conservative price targets.

According to Jev’s output, Kimi, ChatGPT, Claude and Gemini received reasonable-fit assessments, while Elon Musk’s xAI model Grok earned a weaker rating, followed by even less favorable assessments for the higher targets proposed by Deepseek, Pi and Mistral. These scores reflect how closely Jev considered each projection aligned with the supplied information and timeframe. They do not establish what bitcoin will ultimately be worth, nor did Jev provide a written explanation for its selections.

Hero/Feature image source: screenshot via Pi AI’s output.

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