Grok 4.6 y Gemini 3.7 Flash now available in ADA

Two launches in 48 hours

On August 12, xAI unveiled Grok 4.6, built on Grok 4.5 with a focus on long-running agents and visual work. A day later, on the 13th, Google launched Gemini 3.7 Flash, the fast and efficient variant of its family, barely three weeks after the previous version.

What makes both relevant isn't just the individual upgrade. It's the industry signal: the intelligence gap between the most advanced models is shrinking, while the efficiency they work with takes a leap. Grok 4.6 matches GPT-5.6 Sol's score on Artificial Analysis's Intelligence Index using a fraction of the resources; Gemini 3.7 Flash again doubled the efficiency of its previous version.

In business terms: efficiency stopped being a technical detail. When a marketing analysis involves thousands of tokens of data and several reasoning cycles, how much each model delivers and how fast it responds define how many analyses you can run in the same time.

ADA already runs both models

Here's what matters to a brand: you don't have to choose one or the other. ADA operates as a multimodal system that orchestrates several models, Grok and the Gemini Flash family among them, over each account's already centralized and normalized marketing data.

Instead of relying on a single chatbot, ADA picks the right kind of intelligence for each task: maximum depth when the analysis calls for it, maximum speed when an instant answer is needed. The result is tables, charts, findings, and complete reports, generated automatically.

And there's a benefit you see straight on the bill. ADA runs on a credit system: every million ADA tokens is worth USD 50. Each model consumes those credits at a different multiplier based on its efficiency, and that's where Grok 4.6 and Gemini 3.7 Flash make the difference: they're among the most efficient in the panel (x0.4 and x0.5 consumption), well below the premium models. Choosing models like Grok stretches the same credit budget across many more analyses, and lowers the real cost of analyzing marketing with ADA.

Grok 4.6: efficiency as strategy

Grok 4.6 isn't a bigger new base, but a post-training leap over Grok 4.5, with more reinforcement learning in agentic environments. Its ace in the hole is efficiency.

• Efficiency. Solves analysis tasks in far fewer steps than top-tier models, consuming a fraction of the resources for the same result.
• Context. 500,000 tokens, enough to load months of an account's data in a single query.
• Multimodality. Text and image input; text output. It doesn't process audio or video.
• Reasoning. Low, medium, high levels and a new xhigh mode for complex tasks.
• Intelligence. 61 points on Artificial Analysis's Intelligence Index, tying GPT-5.6 Sol and within a point of the top-tier models.

What matters most in an analysis flow isn't raw power, but trajectory efficiency. According to Artificial Analysis, Grok 4.6 completes knowledge-work tasks in about 53 turns, versus 103 for Claude Opus 5. Fewer turns means fewer total tokens: the model works more efficiently than its spec sheet suggests.

*Artificial Analysis Intelligence Index. Grok 4.6 sits on par with top-tier models in intelligence, but solves tasks in far fewer steps: about 53 turns versus 103 for Claude Opus 5. That's its real efficiency: it performs like the best while using a fraction of the compute.

Gemini 3.7 Flash: speed and multimodality

If Grok 4.6 optimizes the efficiency of deep thinking, Gemini 3.7 Flash optimizes speed and multimodal breadth. It's Google's workhorse model: built for high volume, low latency, and input in almost any format.

• Context. 1,000,000 input tokens and up to 64,000 output.
• Real multimodality. Processes text, image, audio, video, and PDF. Key for reading creatives, dashboard screenshots, and documents.
• Efficiency. Doubles the efficiency of Gemini 3.6 Flash: the same work with half the resources.
• Reasoning. Low, medium, and high thinking levels.
• Intelligence. 56 points on the Intelligence Index, four more than Gemini 3.6 Flash, with big jumps in code and document understanding.

For an analysis engine, the combination of 1M context and multimodality means being able to load months of data, plus creatives and reports, in a single pass, and get the read almost in real time.

Grok 4.6 vs Gemini 3.7 Flash: which for what

They're not rivals that cancel each other out, but complementary pieces. The simplest way to see it:

The read is straightforward: if you need the highest performance in a long, agentic analysis, Grok 4.6. If you need speed, broad multimodality, and maximum token efficiency, Gemini 3.7 Flash.

It's not which model is better. It's which model for which task, and that's solved by the system, not the user.

What changes for marketing analysis

Combining a highly efficient, powerful model with a fast, multimodal one hits the four levers that define a good analysis engine:

1. Efficiency per analysis. Recurring reports and cross-channel attribution consume many tokens. Grok 4.6's trajectory efficiency cuts consumption in deep analyses; Gemini 3.7 Flash optimizes high volume.
2. Speed of insights. Gemini's 340 tokens per second enable near-real-time answers during a meeting or a dashboard review.
3. Reading creatives and dashboards. Gemini's multimodality makes it possible to compare assets by engagement, interpret screenshots, and turn visual reports into findings.
4. Reasoning over metrics. Deep reasoning modes (xhigh in Grok, high in Gemini) make it possible to go from what happened to what it means and what to do.

In ADA, this translates into concrete workflows: omnichannel performance analysis, X trend detection via Grok, creative comparison, monthly HTML reports, and executive summaries for leadership. As Bunker puts it well: the result doesn't depend on the model alone, but on the context. First centralized, normalized data; the AI, on top.