4 ms·

https://artificialanalysis.ai/models/gemini-3-7-flash https://artificialanalysis.ai/models/gemini-3-7-flash The selling point for gemini continues to be speed

https://artificialanalysis.ai/models/gemini-3-7-flash https://artificialanalysis.ai/models/gemini-3-7-flash The selling point for gemini continues to be speed and particularly end-to-end response time.

vrosas 2mo ago
I've blown away by flash 3.6's speed while Opus chugs along for _hours_ on similar tasks. I've gotten into a opus designed -> gemini implemented -> opus reviewed dev cycle recently.
- deleted 2mo ago
  [deleted]
- gekoxyz 2mo ago
  I am actively using Gemini flash to "translate" what Opus says into human language. I let opus do the design (with my assistance) and implementation, but then the report that Opus writes gets translated by Gemini so that I don't have to waste time to understand it.
  - kridsdale1 2mo ago
    That’s like the army guy in movies from the 90s who shouts “IN ENGLISH, PLEASE!” after the scientist explains the conflict of the plot.
  - kyrra 2mo ago
    Matt Pocock has a great /wait-what skill for this: https://www.aihero.dev/skills-wait-what https://www.aihero.dev/skills-wait-what, which is an extremely short prompt of: > Wait — I don't understand where you've got to here. Re-pitch that: give me a little bit of context, talk in ASD-STE100 Simplified Technical English, and use the ubiquitous language from CONTEXT.md.
- Marha01 2mo ago
  > I've gotten into a opus designed -> gemini implemented -> opus reviewed dev cycle recently. This is what I do too.
  - seunosewa 2mo ago
    Last time I tried it, Flash introduced too many errors due to sloppiness. Is it more reliable at following instructions now?
    - Marha01 2mo ago
      It seems reliable to me now.
bob_theslob646 2mo ago
What's the typical response time for Gemini compared to other models?
- ponyous 2mo ago
  On my benchmark where AIs generate ~20 different 3D models about 1/2 the time of Opus and 1/3 of the time of Kimi K3 and 2/3 of time of sonnet.
markasoftware 2mo ago
Sol high is almost the same speed if you take into account drastically lower token use. Look at the artificial analysis speed vs token use. Gemini is 7x faster but 5x more tokens. And that's with Sol high being a substantially better model. Edit: and Sol medium actually has the same AA intelligence score as Gemini 3.7, and has >7x fewer tokens, actually making it faster
- anthonypasq 2mo ago
  is presumes you are doing longer difficult agentic tasks, if youre doing a simple problem in 1 or 2 shots, not really multi turn then theres no comparison.
modeless 2mo ago
It's funny that they don't mention this at all in the marketing or tech specs when it's obviously the biggest selling point by far. Without this it would be completely irrelevant. Worth noting that OpenAI just announced that they got the full GPT 5.6 Sol model running on Cerebras at 750 tokens per second. No announcement of the pricing though...
- hbn 2mo ago
  > It's funny that they don't mention this at all in the marketing or tech specs when it's obviously the biggest selling point by far. Without this it would be completely irrelevant. Good catch! You're right to point that out. My previous marketing copy missed that specific detail. Thank you for bringing it up!
- Melatonic 2mo ago
  It's like the Intel Optane of AI
- data-ottawa 2mo ago
  I use this in a customer facing application and Gemini’s speed makes the experience feel much better. The application isn’t so complicated that you need opus level reasoning or code writing, we need “good enough” data retrieval and processing with natural language queries and the ability to answer follow up questions. For that Gemini works well for a decent price.
- bearjaws 2mo ago
  Cerebras is crazy to watch on GPT OSS or Gemma, I feel like we need a new VibeOS demo but with Cerebras, the OS would literally build itself in a few seconds. https://youtu.be/7NfyZhV1dKM?t=52 https://youtu.be/7NfyZhV1dKM?t=52
  - cheikhcheikh 2mo ago
    Thw bottleneck become compiling and running the code every iteration so it wont be seconds
jpau 2mo ago
You can also customize Gemini Flash. It's a niche thing benefitting few, but you can tune gemini-3.7-flash in Google Vertex (now named "Agent Platform"?)

vrosas 2mo ago

I've blown away by flash 3.6's speed while Opus chugs along for _hours_ on similar tasks. I've gotten into a opus designed -> gemini implemented -> opus reviewed dev cycle recently.

deleted 2mo ago
[deleted]
gekoxyz 2mo ago
I am actively using Gemini flash to "translate" what Opus says into human language. I let opus do the design (with my assistance) and implementation, but then the report that Opus writes gets translated by Gemini so that I don't have to waste time to understand it.
- kridsdale1 2mo ago
  That’s like the army guy in movies from the 90s who shouts “IN ENGLISH, PLEASE!” after the scientist explains the conflict of the plot.
- kyrra 2mo ago
  Matt Pocock has a great /wait-what skill for this: https://www.aihero.dev/skills-wait-what https://www.aihero.dev/skills-wait-what, which is an extremely short prompt of: > Wait — I don't understand where you've got to here. Re-pitch that: give me a little bit of context, talk in ASD-STE100 Simplified Technical English, and use the ubiquitous language from CONTEXT.md.
Marha01 2mo ago
> I've gotten into a opus designed -> gemini implemented -> opus reviewed dev cycle recently. This is what I do too.
- seunosewa 2mo ago
  Last time I tried it, Flash introduced too many errors due to sloppiness. Is it more reliable at following instructions now?
  - Marha01 2mo ago
    It seems reliable to me now.

bob_theslob646 2mo ago

What's the typical response time for Gemini compared to other models?

ponyous 2mo ago
On my benchmark where AIs generate ~20 different 3D models about 1/2 the time of Opus and 1/3 of the time of Kimi K3 and 2/3 of time of sonnet.

markasoftware 2mo ago

Sol high is almost the same speed if you take into account drastically lower token use. Look at the artificial analysis speed vs token use. Gemini is 7x faster but 5x more tokens. And that's with Sol high being a substantially better model. Edit: and Sol medium actually has the same AA intelligence score as Gemini 3.7, and has >7x fewer tokens, actually making it faster

anthonypasq 2mo ago
is presumes you are doing longer difficult agentic tasks, if youre doing a simple problem in 1 or 2 shots, not really multi turn then theres no comparison.

modeless 2mo ago

It's funny that they don't mention this at all in the marketing or tech specs when it's obviously the biggest selling point by far. Without this it would be completely irrelevant. Worth noting that OpenAI just announced that they got the full GPT 5.6 Sol model running on Cerebras at 750 tokens per second. No announcement of the pricing though...

hbn 2mo ago
> It's funny that they don't mention this at all in the marketing or tech specs when it's obviously the biggest selling point by far. Without this it would be completely irrelevant. Good catch! You're right to point that out. My previous marketing copy missed that specific detail. Thank you for bringing it up!
Melatonic 2mo ago
It's like the Intel Optane of AI
data-ottawa 2mo ago
I use this in a customer facing application and Gemini’s speed makes the experience feel much better. The application isn’t so complicated that you need opus level reasoning or code writing, we need “good enough” data retrieval and processing with natural language queries and the ability to answer follow up questions. For that Gemini works well for a decent price.
bearjaws 2mo ago
Cerebras is crazy to watch on GPT OSS or Gemma, I feel like we need a new VibeOS demo but with Cerebras, the OS would literally build itself in a few seconds. https://youtu.be/7NfyZhV1dKM?t=52 https://youtu.be/7NfyZhV1dKM?t=52
- cheikhcheikh 2mo ago
  Thw bottleneck become compiling and running the code every iteration so it wont be seconds

jpau 2mo ago

You can also customize Gemini Flash. It's a niche thing benefitting few, but you can tune gemini-3.7-flash in Google Vertex (now named "Agent Platform"?)