The model exists and the price is correct as stated, but with a time limit the claim does not mention.

Google's own developer documentation states the terms plainly: Gemini 3.7 Flash will be available at an introductory price of $0.75/1M input tokens and $3.75/1M output tokens, and Google is also applying this new rate to 3.6 Flash. Introductory pricing expires on December 31, 2026, after which $1.50/1M input tokens and $7.50/1M output tokens will apply. The Google Cloud pricing page states the same: Gemini 3.7 Flash and Gemini 3.6 Flash are offered with introductory pricing of $0.75 / $3.75 per 1M tokens input / output through December 31, 2026, and starting January 1, 2027, standard pricing of $1.5 / $7.5 per 1M tokens will apply.

On the launch itself, 9to5Google reported that just three weeks after the last release, Google announced Gemini 3.7 Flash, continuing the company's accelerated cadence, a model Google attributes to developer feedback and algorithmic innovations. Google's own docs describe it as the next iteration in the Gemini 3 series of highly-capable, natively multimodal, reasoning models, and Google Cloud documentation calls it the high-efficiency, cost-effective model of the Gemini 3 family, positioned as the primary agentic workhorse.

The three named rivals are all real models, and all three carry higher standard per-token prices. Anthropic's own docs record that the $2/$10 per million input/output token pricing for Claude Sonnet 5, announced at launch as introductory pricing through August 31, 2026, is now the standard price. For OpenAI, one trade source reports that OpenAI cut Terra by 20% to $2.00 in and $12.00 out per 1M tokens on July 30, 2026. For Meta, VentureBeat reported the standard tier is priced at $1.25 per million input tokens and $4.25 per million output tokens, with cached input at $0.15, a figure Artificial Analysis independently lists: Muse Spark 1.2 (xhigh) costs $1.25 per 1M input tokens and $4.25 per 1M output tokens, based on Meta's API.

So at the current promotional rate, the undercutting is real across all three, as secondary coverage summarizes: the price undercuts both GPT-5.6 Terra ($2.00 input / $12.00 output) and Claude Sonnet 5 ($2.00 input / $10.00 output) by a wide margin, and even comes in cheaper than Muse Spark 1.2 ($1.25 input / $4.25 output).

Two pieces of context the claim does not carry. First, Meta ships a second, far cheaper SKU of the same model: the contributor tier is priced at $0.10 per million input tokens and $0.20 per million output tokens, roughly 12x and 21x cheaper than standard, with an explicit data trade-off, since Meta lists Muse Spark 1.2 twice, one SKU at $1.25 per million input tokens that does not train on your data, and the other at $0.10 that does. Second, on the independent composite, Gemini 3.7 Flash does not lead this group: Artificial Analysis found Gemini 3.7 Flash (high) scores 56 on its Intelligence Index, just behind GPT-5.6 Terra (max, 57) and Muse Spark 1.2 (xhigh, 57), and ahead of Claude Sonnet 5 (55) and its own predecessor Gemini 3.6 Flash (52).

The caption's Reuters attribution also checks out. The Reuters exclusive of August 12 reports that by August, Google had delayed the new flagship version of Gemini by two months after internal testing showed its performance continued to lag behind rivals in areas such as coding, according to sources familiar with the matter. The quoted wording in the caption matches.