BNP Paribas Maintains $420 Price Target on Alphabet (GOOGL) Despite 2% Stock Decline
Key Takeaways
- •BNP Paribas analyst Nick Jones maintained his Buy rating and $420 price objective on Alphabet even as the stock declined 2% following the debut of Gemini 4 Argon.
- •In performance testing, Argon beat OpenAI's Astra and Anthropic's Fable 5.1 and Opus 5.5 on 13 of 19 benchmarks covering programming, cybersecurity defense, and multimodal processing.
- •CEO Sundar Pichai said Argon incorporates frontier safeguards and is initially available only to U.S. government entities and cybersecurity professionals in Google's Fairwind Program, with no timeline given for a broader rollout.
- •Google announced commercial pricing of $2 per million input tokens and $10 per million output tokens, with cached input tokens priced 95% below the standard input rate.
- •GOOGL carries a Strong Buy consensus based on 24 Buy and four Hold ratings over the past three months, with a $427.88 consensus price target implying roughly 27% upside.

Shares of Alphabet (GOOGL) slipped 2% in recent sessions, even as BNP Paribas analyst Nick Jones reaffirmed his Buy rating on the stock and left his $420 price objective unchanged. The renewed vote of confidence followed Google's introduction of Gemini 4 Argon, the company's latest frontier AI system, and was highlighted in a report from Seeking Alpha. Price targets represent an analyst's estimate of a stock's fair value over a defined horizon, which is why reaffirmations during pullbacks are often read as a measure of conviction in the underlying investment case.
Jones, who holds the #223 position among the more than 12,500 analysts monitored across the financial industry, said the product launch demonstrates Google's ongoing commitment to staying competitive in cutting-edge artificial intelligence innovation.
Performance testing revealed that Argon outscored both OpenAI's Astra and Anthropic's Fable 5.1 and Opus 5.5 models across 13 of 19 evaluation criteria. The assessments encompassed programming capabilities, cybersecurity defense applications, and multimodal processing tasks. Cross-model benchmark results have become one of the AI industry's primary yardsticks, with enterprises and developers weighing evaluation scores when deciding which frontier systems to build on.
Chief Executive Officer Sundar Pichai announced via X that the system incorporates “frontier safeguards” and will undergo a measured deployment process. Access is currently limited to U.S. government entities and select cybersecurity professionals participating in Google's Fairwind Program, which gives early users a restricted testing environment ahead of a wider release. Staged-access arrangements of this kind allow model developers to gather structured feedback from a controlled user base before opening a system to the broader market. Pichai indicated that additional developments are on the horizon, noting that observers will “see us iterating rapidly” as the Gemini platform evolves.
What's Next for Gemini 4
Beyond the immediate rollout, Jones outlined a broader product path he expects Google to pursue. He forecasts that the company will introduce additional Gemini 4 variants across various pricing tiers, expanding the lineup beyond the initial Argon release, with each version optimized for distinct applications and budget requirements.
The analyst also suggested the possibility of launching a consumer-oriented AI assistant. Such a product could mirror Meta's Muse offering while leveraging Google's extensive ecosystem of applications and platforms.
A consumer-focused solution would capitalize on Google's vast presence. Platforms including Search, Gmail, and Android currently serve billions of users globally.
Commercial pricing for Argon has been announced ahead of its public availability. The model will be offered at $2 per million input tokens and $10 per million output tokens upon general release. Cached input tokens will benefit from a significant cost reduction, priced at 95% below the standard input rate. Per-token pricing is the standard billing model for AI application programming interfaces, letting developer costs scale with actual usage rather than flat fees.
The model is also already deployed beyond testing environments. Google employees are utilizing it for internal coding projects, research activities, and content creation tasks.
An Extended Development Timeline
Argon's arrival followed a longer path than originally planned. Initial projections anticipated a June launch under the designation Gemini 3.5 Pro, but Google postponed the debut to enhance programming capabilities and conduct comprehensive safety evaluations. During this period, the initiative was renamed Gemini 4 Argon.
The postponement carried financial consequences. Alphabet's market capitalization, the combined value of its outstanding shares, has contracted nearly 20% since then, as market participants expressed concern about Google potentially losing ground to rivals OpenAI and Anthropic in the AI race. The stock's recent 2% pullback came against this backdrop.
Notwithstanding the recent challenges, analyst sentiment remains decidedly positive. GOOGL maintains a Strong Buy rating consensus, based on 24 Buy recommendations and four Hold ratings issued over the previous three months. The consensus price target among Wall Street analysts stands at $427.88, a figure representing approximately 27% of potential appreciation from present trading levels. Consensus figures aggregate the most recent broker ratings and targets into a single benchmark of overall Street sentiment.
Koray Kavukcuoglu, Chief AI Architect at Google DeepMind, indicated that the organization continues gathering input from initial testers. Safety mechanisms are undergoing refinement before Argon becomes available to software developers, corporate clients, and general consumers. No specific timeline was provided for the broader rollout.
Source: Blockonomi