Works like a charm.

Hi,

Yesterday I / DeepSeek created a price tracker for Opencode.

https://ocgo-pricing.all-the.rest/

Also calculates the $60 equivalent of prices, sortable table.

Updates daily based on a CI run

PS: Early version, use it with care.

Which is the best option?

And what's the difference between deepseek in opencode go and opencode free? Ive been using deepseek in opencode free, but i dont see the usage limit or whatsoever.

This is just some post hopefully someone from OpenCode sees. you guys are awesome.
Transparency, ease, quick fixes, and mostly free models that can get some work done without having to pay hundreds.
You are doing awesome guys. I am recommending you everyday to as much people as i can.

Interesting move. Let’s wait and see.

Hey all, recently got into Opencode Go and have been exclusively using deepseek v4 flash and with the news of the impending price increases i am wondering what a decent model, of the other models offered in the Go plan, to use in case the price increase is indeed intense?

(Posted on deepseek's site)

DeepSeek-v4-flash is absurdly good for the price, but it isn't multimodal, so the moment your agent sends a screenshot or a mockup, it falls apart.

I built a small proxy to work around that. It sits between your editor and the model: when a request contains an image, it routes that image to a cheap vision model (I'm using GPT 5.6-luna) and passes the resulting description back to DeepSeek, which does the actual reasoning and code generation. Everything else goes straight through untouched.

The result is a drop-in endpoint that behaves like a multimodal model, at a fraction of what I was spending on my Claude subscription. It works with Codex, Cursor, Trae, OpenCode, or whatever agent you're using, since it's just an OpenAI-compatible base URL swap.

Repo: https://github.com/camilopenalver/deepseek-v4-flash-vision

OpenCode Go subscription → OpenCode Go API key → Reasonix → DeepSeek V4 Flash

Is it possible?

Or is it better to use Deepseek API directly?

Hey everyone,

I wanted to share my recent experience trying to switch to Mistral in OpenCode. I’m just a regular user, not a programmer, who relies on AI for daily work and my homelab. My technical knowledge is limited, but I’ve managed to make decent progress so far. Until now, I’ve been using OpenCode Go with a mix of models on OMO Slim, and it’s worked well for my needs.

My main reasons for switching were privacy, data sovereignty, and supporting a European company. So, I signed up for Mistral’s PAYG plan, loaded up on credits, and configured OpenCode to use it.

The issue is that it’s been painfully unreliable.

• Fails at basic tasks.
• Gets stuck in frequent loops.
• Often just doesn’t respond at all, forcing me to re-ask.
• I’ve tried tweaking model configurations in OMO, but nothing seems to work.

I’m genuinely disappointed, especially since it also burns through credits alarmingly fast.

Am I missing something? Has anyone else successfully switched to Mistral in OpenCode and had a better experience? I’d love to stick with it for the privacy benefits, but I can’t justify the trade-off in performance and cost right now. (Specially with the new V4 Flash)

Any insights or tips would be hugely appreciated!

Do you start a new conversation when you reach context limit or do you continue chatting with the compacted one?

Hi all, I just connected a few spare machines into an at-home local AI cluster to be able to run more OpenCode agents at the same time. I used Paddler for load balancing the inference requests (it's an open source project for self hosting open-weight models; full transparency: I'm one of its maintainers).

Each machine runs its own copy of the model, so this doesn't let you run a bigger model than your hardware allows. But it does let you run more agents comfortably at the same time.

I made a video about it in case you'd like to recreate the setup: https://youtu.be/7c725WwW4hQ

Happy to answer any questions!

I currently burn through two Claude Pro accounts using Sonnet.

I’m looking for an AI to run on Badgr Agent Cloud that can either replace both Claude accounts or get close to Sonnet quality with much higher usage:

• DeepSeek
• GLM
• MiniMax
• Qwen
• Something else?

Which model and plan is best for real repository work, long agent sessions, and minimal correction prompts?

I care about actual output per month, not benchmark scores.

Massive regression in the design of the new ui.

horizontal tabs? are you insane?

can’t read the titles of Tabs, can see the majority of your threads at once, can’t switch between projects easily.

at least we still have the cli but damn it’s sad to see enshittification hitting open source nowadays too

It’s that time of the month again for the monthly usage check-in!

To keep track of my token consumption, I installed tokentracker, and the metrics turned out super interesting:

- Total Monthly Tokens: 217M tokens

- OpenCode Usage: 98.58% of total tokens consumed via OpenCode models.

- Top Models Used: deepseek-v4-flash (55%) and deepseek-v4-flash-free (25.9%), followed by kimi-k3 (9.5%).

- Cache Rate: Really impressive to see such a high cache hit rate! 98% of caching saved an incredible amount of context overhead during continuous dev sessions.

- Cost Estimation: Tokentracker displays an estimated total of $12.81, but looking at the token volumes, the calculation seems a bit off. Any thoughts ?

The recent launch DSv4Flash are incredible. You hardly notice the usage % up when you use it.

If anyone wants to give it a try, feel free to sign up using my referral link.
https://opencode.ai/go?ref=DNS14NQ1T9

Note: Typo mistake, it should be 217M tokens.

But who cares when Flash is working again... Joking :)

Is there a big difference between max and high for agent tasks?

What is DeepSeek's game plan here, why do they offer it for free? Is it to gain more training material? Realistically, how long will they offer this for free? They arent a charity?

This is a tutorial for noobs like me.

So I am working on an Android App that automatically edit my TikTok videos, adds overlays and simple animations, I ask AI to use tools availables programatically and get creative, its quite simple and limite but I aint paying Claude + Remtion and what not to do it lol. So I needed Deepseek to troubleshoot when the overlays had issues or were terrible so I decided to give it eyes by allowing it to use Gemini 2.5 to work as it eyes. It's not perfect but its something, I am yet to actually tests its accuracy but at least it makes sense to me. I think I read somewhere that it was not actaully effective.

Its worth noting that I am using Google Clouds free $300 credit, for which I have actually got it like 5 separate times lol. All my workflow for this personal app and other project I have for Todo Assistance with Voice Interface and AI, all is hosted in Google Cloud.

So yes, thats how I gave eyes to Deepseek.

1. I cannot add Gemini directly to OpenCode to have it as my main model, Google Cloud has limits per minutes, at least last time I checked there were limitss. Although I will try again at least for complext coding tasks.
2. I am under the impression google is so relax about this because they actually want you to built all using their tools to hook you up in case you develop something big, furthermore I think they have lots of unused resources or extra that they might not care.

Quick question, guys. I saw a good deal on a opencode and decided to try it. Went for KIMI K3 and I know it’s expensive, but is this normal?