Chat with Gemini 3.7 Flash online
Google's newest Flash: a million tokens of context, native video, and reasoning tuned for agents — at Flash speed.
1.048576M tokens
Context
65,536 tokens
Max output
Fast
Speed
Straight from Gemini 3.7 Flash
Three prompts, three unedited answers, generated on September 2, 2026 through NinjaChat. Click the prompt to copy it and run it yourself.
Write a Python function that merges overlapping intervals, plus three short tests. Keep the whole answer under 40 lines of code.
def merge_intervals(intervals):
if not intervals:
return []
# Sort intervals based on the start time
intervals.sort(key=lambda x: x[0])
merged = [intervals[0]]
for current in intervals[1:]:
prev = merged[-1]
# Overlap exists if current start <= previous end
if current[0] <= prev[1]:
prev[1] = max(prev[1], current[1])
else:
merged.append(current)
return merged
# Tests
assert merge_intervals([[1, 3], [2, 6], [8, 10], [15, 18]]) == [
[1, 6],
[8, 10],
[15, 18],
]
assert merge_intervals([[1, 4], [2, 3]]) == [[1, 4]]
assert merge_intervals([[1, 2], [3, 4]]) == [[1, 2], [3, 4]]
print("All tests passed!")
Read: We ran the same 3 prompts on 12 AI models — Unedited answers, latency and price for every model, measured through the NinjaChat API in September 2026.
Served by Google as gemini-3.7-flash. Answers vary run to run; these are one take each, not the best of several.
What you’ll use it for
Agentic coding
Fix the bug from the screenshot, the log and the repo in one go.
Video and image understanding
Recordings, diagrams and photos as first-class input.
Long documents
A million tokens: whole archives in one thread.
High-throughput work
Fast enough to run in volume, smart enough to trust.
Prompts to steal
Tuned to this model — click any line to copy.
About Gemini 3.7 Flash
Gemini 3.7 Flash is the newest Flash-class model in Google's Gemini line, the tier that trades a little peak capability for speed and cost, and in 3.7 the trade is small. It carries a million-token context window, reads images and video natively, calls tools, and exposes thinking levels so you can ask it to reason harder on the questions that deserve it. On NinjaChat it is included in every plan, with no Google subscription needed.
Google positions 3.7 Flash at agentic coding, multimodal reasoning and high-throughput long-context work, and that is where it shines in daily use: a screenshot of a failing test plus the repository, a recording you want summarized, a stack of PDFs to reconcile. It is fast enough to iterate with and capable enough that many people keep it as the default and reach for a Pro-class model only when something is genuinely hard.
Compared with Gemini 3.6 Flash, 3.7 is the same shape with better reasoning and coding; compared with GPT-5.6 Luna, it is the closest rival in the fast class, with stronger native video understanding and Google's tool ecosystem. On NinjaChat all of them sit in one picker, which is the fastest way to find out which one thinks the way you do.
How to use Gemini 3.7 Flash
From zero to your first result in under a minute.
01
Create a NinjaChat account and choose a plan
02
Open chat and pick Gemini 3.7 Flash from the model list
03
Drop in screenshots, video or files with your question
04
Ask it to think harder on the difficult ones
05
Compare with GPT-5.6 Luna for the same speed class
Tips for better results
- Give it the video or screenshot, not a description of it
- Raise the thinking level for math and multi-step logic
- Keep a long project in one thread; the context is there for it
- Escalate to Gemini 3.1 Pro when depth matters more than speed
Gemini 3.7 Flash vs the alternatives
Where it wins, and where it doesn't.
Questions, answered.
Beyond chat — images & video
The same subscription covers the image studio and video generation.
Gemini 3.7 Flash, and 50 more.
One subscription covers every model on NinjaChat, Gemini 3.7 Flash included.
