Gemini 4 Hydrogen Almost Ties Claude Sonnet 5.5 and GPT-6.1 Sol, Costs One‑Third of Sonnet and About 2.5× Sol
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| Source: Techmeme | Original article
Google's Gemini 4 Hydrogen scores just below Claude Sonnet 5.5 and GPT‑6.1 Sol in the Artificial Analysis Intelligence Index, costing about one‑third of Sonnet and roughly 2.5 × Sol.
Google’s latest Gemini 4 Hydrogen model has slipped into the top tier of large‑language‑model performance, according to the Artificial Analysis Intelligence Index released on X. The index shows Gemini 4 Hydrogen “nearly ties” the leading Claude Sonnet 5.5 and GPT‑6.1 Sol on the benchmark’s composite score, while costing roughly one‑third of what Claude Sonnet 5.5 commands and about 2.5 times the price of GPT‑6.1 Sol.
The ranking is the first public comparison of Gemini 4 Hydrogen against the newest offerings from Anthropic and OpenAI. As we reported on 12 November, Google introduced Gemini 4 Hydrogen as a more efficient, multimodal successor to Gemini 1, and on 13 November highlighted its integration into Google Search. The new index data confirms that the efficiency gains translate into competitive quality, positioning Gemini 4 Hydrogen as a cost‑effective alternative for enterprises that need near‑state‑of‑the‑art reasoning without the premium price tag of Claude Sonnet.
Why it matters is twofold. First, the cost‑performance balance could accelerate adoption of Google’s model in sectors where budget constraints have favoured OpenAI’s cheaper Sol or Anthropic’s higher‑priced Sonnet. Second, the near‑parity in intelligence suggests Google’s “Hydrogen” architecture is closing the gap that has traditionally separated Google’s models from the market leaders, potentially reshaping the pricing dynamics of the generative‑AI market.
Looking ahead, analysts will watch for a deeper dive into the methodology behind the Intelligence Index, as well as any price adjustments Google may announce in response to the cost comparison. Follow‑up benchmarks that isolate specific tasks—coding, reasoning, or multimodal understanding—will also reveal whether Gemini 4 Hydrogen can sustain its edge across diverse workloads. The next few weeks should clarify whether the model’s attractive price point will translate into broader enterprise uptake.
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