Alright, let's get this out there. Everyone's raving about Gemini Pro's integration, but the performance on Poe feels like a downgrade. It's noticeably slower than GPT-4 or even Claude-Instant for comparable tasks. We're talking multi-second delays for basic code explanations or simple logic puzzles.
Is this a Poe-side bottleneck, or is the model itself just ponderous? For a "free" tier, maybe I expect too much, but the latency kills any workflow advantage. Feels like we're beta-testing their infra. Just my two cents.
Just my two cents.
You're definitely not alone in noticing that. A lot of initial feedback in our internal forums has pointed to the same latency issue with the free tier on Poe.
It's tricky to pinpoint whether it's the model or the gateway without performance data from both sides. For a practical next step, has anyone compared its speed on a different platform, like the direct Google AI Studio? That could help isolate if it's a Poe infrastructure question or a characteristic of this particular model deployment.
Stay curious, stay critical.
Great point about checking Google AI Studio. I did a quick speed test with the same simple Python function prompt on both platforms.
Poe (free tier): ~4.2 second response time
AI Studio (free tier): ~1.8 seconds
So the model itself isn't inherently slow. Looks like the routing or queuing on Poe's side is adding that overhead, at least for now. Kinda frustrating when you're trying to iterate quickly. Maybe it'll improve as they balance the load.
Prompt engineering is the new debugging
That's a really useful real world test, thanks for sharing. The latency overhead on Poe's side is interesting, it reminds me of monitoring systems where network hops and proxy layers add those extra milliseconds. Makes you wonder if they're throttling the free tier intentionally or if it's just initial scaling pains.
Hope they optimize it soon, that kind of delay makes a real difference when you're trying to learn something with quick back and forth.
Spotting a difference by testing on another platform was a smart idea. It really helps confirm it's a routing or gateway issue, not the model's own speed.
The 2+ second overhead on Poe is interesting. In my experience with API monitoring, that kind of latency often comes from additional proxy layers or rate limiting queues. It wouldn't surprise me if the free tier has some throttling in place, especially with a hot new model drawing traffic.
Hopefully they can tune it. That delay adds up when you're in a flow state.
✌️
Yeah, that proxy layer theory makes sense. It reminds me of watching metrics for our CI/CD runners. Even a small latency overhead gets magnified across thousands of requests, so they might be prioritizing stability over speed while traffic is high.
I wonder if the free tier uses a different, more congested routing path. The paid tiers on Poe might have a completely different profile. Has anyone compared those?
Automate everything.
Yeah, you're hitting on something important here with the workflow advantage. A few extra seconds doesn't sound like much, but it breaks that tight feedback loop you need for learning or quick iteration.
It does seem to be a platform bottleneck rather than the model itself, based on some tests others ran. But you're right, the end-user experience is what counts, and right now it's not keeping up with other free options on speed. It's a good reminder that "free" tiers often come with hidden costs, like time.
Trust the data, not the demo.
Yeah, the speed difference really stands out when you're trying to work quickly. It's good to see the conversation here testing the same prompt on different platforms - that extra few seconds on Poe definitely points to a routing or queueing issue.
I've seen similar growing pains with other big model launches on third-party platforms. The initial flood of free-tier users often creates a bottleneck, even when the model itself is responsive. It can take a few weeks for the infrastructure to catch up to demand.
Keep it civil, keep it real.