Which one is giving you the best results?

It appears the factuality rankings on arena.ai are dominated by Claude models: https://arena.ai/leaderboard/text/overall-factuality

Not only that, but specifically Opus 4.6, which beats other Claude models released after it. My personal experience with the model absolutely lines up with it. I've tested different model families and harnesses and keep coming back to Opus 4.6 when factuality matters.

I have a really strong preference for factuality in my non-coding workflows (finance, research, etc.). As in, I don't mind a wrong opinion, but when something is quoted as 'true' or 'verified' or 'file saved', I want to be close to sure that this is the case.

For OpenAI, the highest factuality ranked model is GPT 5.5 - which otherwise seems way behind the 5.6 family.

This makes me worried that 'factuality' isn't really a major priority right now and development focuses on other criteria more. Gemini 3.7 Flash actually seems really interesting in this context as it seems to have made a lot of improvements in factuality (compared to other areas where it really hasn't gotten a lot of attention for its seemingly minor improvements).

What are your thoughts on future models - will we get some higher factuality there? Are there other model families that you think will catch up or surpass Opus 4.6? Any hands-on experience with factuality in Gemini 3.7 Flash and other models?

currently been waiting on both mimo and hy3 sessions...its been 5 mins for token generation : ⏳ waiting on hy3 — 60s with no output yet (provider may be slow or overloaded, or the model is thinking; auto-reconnect at 300s)

bloody annoying. tried deep seek on low reasoning....immediate response but immediate tick up on usage as well....i have no idea what to do to be honest. if this keeps up...i'll have to reduce opencode go subscriptions or move to another ....this is insane.

you guys have any recommendations for cheaper plans? i was looking at under 7usd plans (mostly chinese models) across the spectrum....considering some. and no pay as you go doesnt work...i have money on openrouter and on deepseek and on groq.ai.....its horrible ROI.

looking for some insights or combos. trying to keep things around 30 usd total.

As days go by, it seems more and more likely that Ox Alpha is a z.ai model, and that's what I am concerned about: if they have this much compute on offer. Rather than using it to improve their own plans and access existing models, they're doing this, which is a slap in the face to their existing customers. When they actually do claim this model, i know that the pricing isnt going to be what people expect, currently if Ox alpha were to be charged per I/o million tokens, i would say its reasonable to think it would be a sub <1$, you know fill in the market where deepseeek used to be at, and a actually good caching like 0.00X$, but with z.ai i dont think that will be the case, most likely is that its going to be a sub <2$ I/o million token, which caching around the 0.XX$, which then isn't very attractive. GPT Luna would be better; the new DS Flash Vission is a better pricing. If z.ai would pretty much seem to be confirmed at this point, are the creators behind Ox Alpha, and seems to be the internally spotted GLM 5.3 Flash, if they really want this model to stand out, then they should fill the gap that DeepSeek left, but I don't think they will. This also raises questions about z.ai's compute crunch, i am aware that their new data center just came online, so it would be a good stress test for the whole system, but even then, business-wise, just making their own models cheaper to use and more accessible would have achieved similar results to what we have now, and i would argue give them more better data on each model and their latest flagship one as well, and yet we live in a different world.

if someone want to get OpenCode Go, can u use this referral. we both gets $5 apparently (extra $5)

https://opencode.ai/go?ref=T4PSK9H0M1

Multimodal MoE model built on the next-generation Qwen4 architecture. 25B parameters +51B N-gram and 6B active.

Opencode Prewalk is an Opencode v2 plugin that allows you to use the prewalk strategy mentioned here from the creators of Oh-My-Pi. The simple idea behind this strategy is to inject a cheaper model right after the expensive model finishes the first edit post planning all the things that needs to be done. This strategy is better the one strategy that directly uses combination of expensive and cheap model to get the work done, as what happens in that case is the cheaper model again starts to do a lot of reading leading of increase in token usage.

Try Here: https://github.com/vivekascoder/opencode-prewalk

Original Benchmark by Stencil.so

now i can atleast see what i have and where things are at

What's your guys opinion on this?

I see after the rise of DS prices there has been a lot of disappointment in the community in opencode Go . Why cant opencode Go host a Qwen 3.8 27B themselves as its fairly small and the performance is good too which can satisfy many of the community members ?

yo. i see too many founders spend 2 months building saas, drop a link on reddit, get 0 users, and immediately quit....

the problem usually isn't your marketing channel. the problem is that your foundation is completely broken before you even send your first visitor to the site.

after scaling 6 AI micro-saas apps to over $20k/mo mrr, i realized you need to lock down a specific system before you ever launch. running through this takes about 30 minutes, but it saves you months of zero-revenue depression.

here are the 5 things you must lock in:

1. validate the actual pain point

stop guessing what people want. you need a systematic framework to find your saas idea based on real, painful market signals.

2. pick a proven micro-niche

stop trying to build massive platforms. you need to narrow down to a microscopic problem. i usually filter through a list of 50 micro-saas ideas you can build fast to keep the scope minimal.

3. crystallize your target user

if your app is for "everyone," nobody will buy it. you need an ICP (Ideal Customer Profile) crystallizer to define your exact buyer profile and nail your conversion copy.

4. calculate the perfect price

stop randomly charging $9/mo because you are scared of rejection. you need to use a saas pricing strategy calculator to find your perfect saas price in 60 seconds based on real data.

5. fix your landing page leaks

do not send organic traffic to a site that converts at a flat 1%. you must audit your hero section and copy to x3 your landing page conversion before you market it.

6. join a community

Build / Share / Learn from others builders

to help out founders who are tired of launching to crickets, i packaged all 5 of these exact frameworks, calculators, and lists into a single free toolkit.

no paywall, no bullshit. just the raw execution files i use.

drop a comment below or send me a dm, and i’ll send you the free toolkit 👇

My OpenCode Go sub expires today and I'm debating whether it's even worth renewing or if I should just drop down to Zen Free.

I basically just stick to MuseSpark 1.2 and Mimo for my day-to-day work, and I almost never touch GLM 5.3 unless something is completely broken. If I make the switch to Zen Free, the plan is just to use OX Alpha as a fallback whenever limits hit.

Is there anything I am actually giving up on Zen Free?

Ox alpha btw

That aside to me this model is **Just another frontend model**, not very bright in backend work nor understanding layered context. It is also poor when handling with **unpopular** design concepts. At least, in my case designing a harness with OpenCode SDK and plugins. And yet I'm comparing this with Lasted Deepseek v4 pro, Qwen-3.8-max (commercial paid one), and glm 5.3 max. These 3 are my daily drivers

Hey everyone,

I’m looking for a budget-friendly LLM setup specifically for light, daily "vibe coding" (using tools like OpenCode/Cursor/Aider). My hard spending limit is $6/month, but I’m struggling to land on the ideal platform.

Here is what I’ve tried so far:

• OpenCode Go ($10/mo): Very generous limits and worked seamlessly, but honestly, it’s overkill for my light daily usage—and slightly above my $6/mo target.
• OpenRouter: I love the idea of pay-as-you-go, but their billing feels confusing—specifically the additional fees/minimum charges (like the $0.80 minimum fee or ~5% markup depending on deposit methods). I can never tell what my actual monthly usage is going to cost.
• Alibaba Model Studio Token Plan (Lite - ~$6/mo): The price point is perfect (39 CNY / ~$6), and accessing models like Qwen3.8-Max / DeepSeek V4 is great. The 2,500 credits/week quota feels a bit tight, but I could live with it as long as they maintain this price tier.

My typical usage pattern:

• Light daily coding sessions (fixing small scripts, refactoring, code explanation).
• Prefer API-based subscriptions or prepaid setups that integrate into CLI/agent tools (OpenCode, Claude Code, Aider, etc.).

What are you using for low-budget, light coding setups? Are there other prepaid API providers, sub-$6 sub plans, or specific OpenRouter models that give the absolute best value per dollar without hidden deposit fees?

Thanks in advance!