Google ships Gemini 3.7 Flash: top coding scores, cut price
Three weeks after 3.6, Google strikes again: Gemini 3.7 Flash beats Sonnet 5 and GPT-5.6 on coding benchmarks — at a $0.75 introductory price.
Illustration · AI-generated (AI IN LIFE)
At a glance
- FrontierCode 1.1: 43.6% — ahead of Sonnet 5 (42.7%) and GPT-5.6 Terra (41.3%)
- DeepSWE v1.1: 65.3%; Terminal-bench 2.1: 85.8%
- Intro pricing: $0.75 input / $3.75 output per million tokens (until Dec 31, 2026)
- From January 2027: $1.50 / $7.50 — about a third of rival pricing
- Context window: 1 million tokens; multimodal including video and PDF
Google has unveiled Gemini 3.7 Flash, its most capable Flash-tier model yet — arriving just about three weeks after Gemini 3.6 Flash. The focus is squarely on coding and agentic workflows, tasks where the model operates tools on its own and manages multi-step processes.
On the published benchmarks, the model tops its price class: it scores 43.6 percent on FrontierCode 1.1, ahead of Claude Sonnet 5 (42.7 percent) and GPT-5.6 Terra (41.3 percent). On DeepSWE v1.1 it jumps to 65.3 percent, and on Terminal-bench 2.1 to 85.8 percent — though OpenAI's Terra stays narrowly ahead on the latter.
The pricing is the aggressive part: through the end of 2026, an introductory rate of 0.75 dollars per million input tokens and 3.75 dollars per million output tokens applies. From January 2027, rates double to 1.50 and 7.50 dollars — still roughly a third of what comparable rival models cost.
Technically, Gemini 3.7 Flash offers a one-million-token context window and handles text, images, video, audio, and PDFs. The model is available through the Gemini API, Google AI Studio, Android Studio, the Antigravity agent environment, and Gemini Enterprise.
The message to the market is clear: Google is shifting the competition from raw peak scores to price-performance. For companies deploying coding agents at scale, the cost advantage may be the deciding factor.
FAQ
What's new in Gemini 3.7 Flash?
Substantially stronger coding and agent performance: for the first time, the Flash model overtakes larger rivals such as Sonnet 5 and GPT-5.6 Terra on several benchmarks.
What does the model cost?
Until year-end, $0.75 per million input tokens and $3.75 per million output tokens; double that from January 2027.
Where is it available?
Via the Gemini API (gemini-3.7-flash), Google AI Studio, Android Studio, Antigravity, and Gemini Enterprise.
