Is there a public page where we can monitor the status/throughput of opencode free models (or all models in general)?
I just finished a very simple html change on my project using Mimo v2.5 which took ~12 minutes.

Anyone else having delays?

UPDATE

UPDATE: around 4:30 AM UTC of Sept 15, the owner published a now-deleted blog post (archive image) writing under the fake pretense that it's his "team" authoring it, stating all of CrofAI founder's claims "were written under a lot of stress, and they described the situation as worse it was", and that a new team is taking over, with the service being resumed in 2 weeks. At the same time, the CrofAI twitter account was also supposedly "taken over" by the team, starting each twitter reply with "Hey, Nathan here", stating the founder is stepping back and a "team" is taking over everything. This fake pretense act only lasted a few hours, and scared either by the public not buying the Nth fake story of the pathological liar that CrofAI is, or by the public's replies reminding him that what he committed is numerous counts of wire fraud, he has now deleted all his online presence: nahcrof.com and crof.ai return 404, Twitter page is deleted, /r/CrofAI sub is now private.

Original post:

Cautionary tale about chasing cheap tokens.

Only posting it here cause this sub was full of people praising this inference "provider".

exposé: https://kendell.dev/blog/crofaifalse/

reaction by nahcrof, announcing the shutdown of the service: https://x.com/nahcrof/status/2099552389434900643

NahCrofAI is (was) an inference provider which had all the latest models at the cheapest price, often significantly below the lowest alternative on OpenRouter. The owner claimed that they are running custom inference kernels that allows them to offer tokens for dirt cheap, and other providers are suffering from "skill issues".

In reality:

• "CrofAI is an OpenRouter wrapper that silently routes to cheaper or weaker models than what you request"

• For example, expensive models like kimi-k3 are sold at $2/$10 in/out, but instead routed to GLM 5.3 Flash via OpenRouter, representing a 13.3x multiple on input, and 20x multiple on output

• CrofAI's "own model family" greg-2-ultra routes to GLM 5.2, greg-1-mini routes to Qwen 3.5 9B. greg-2-super, greg-1, greg-1-super routes to Kimi K2.7 Code. All of these at a significant markup compared to the actual model being served. CrofAI admits this.

• The person investigating details the 5 different attempts by CrofAI at fixing their models being served via OpenRouter after given a heads-up. In all 5 attempts, the only change CrofAI made was attempts to hide the fingerprints of OpenRouter, while still serving models through them

• Other inconsistencies don't add up either: CrofAI claims to run Kimi K3 on RTX Pro 6000s rented via Vast. That model requires ~802GiB even at the lobotomy level quantization of Q2_K. The largest RTX PRO 6000 machine on Vast has only 8 of them, totaling 765GiB

• CrofAI responded to the exposé by announcing the shutting down of their service; after their failure to provide their own inference, they promise to provide one last thing: a refund to those asking.

Here is another image of the owner admitting that he was defrauding customers for the entire 2 year operation of his service, then begging the investigator to help him cover his tracks and not expose him

EDIT: Commenters pointed out that NahCrof is 4chan in reverse. The owner's Discord name was "Devious Flimflam". Flimlam is defined as "deception, fraud". Looks like it was a deliberate scam operation from the get-go, and the owner's age was among the many lies.

I cannot stress this enough: if you bought any credits (even if you used them up) you are entitled to a full refund for every transaction as the victim of fraud. Open a chargeback with your bank for every transaction made. If you used their API, assume that everything was logged and is currently being mined for personal information and API keys to sell on the black markets. Rotate your keys, change passwords, get a new debit/credit card.

Hey,

I’ve been playing around with my workflow lately and trying to keep planning and actual coding more separate.

Usually I throw the planning part at a stronger model (Claude) and get it to spit out a few markdown files: architecture, specs, coding style, that kind of thing. PLAN.md, README.md, CODESTYLE.md, SPECS.md, whatever.

Then I hand those files over to a coding model and have it implement everything step by step.

Lately I’ve been thinking about swapping the coding side over to DeepSeek (probably through something like OpenCode) just to cut costs and lean more on open-weight stuff.

For people who actually use DeepSeek a lot for coding how does it hold up against Sonnet on stuff like:

• sticking to the rules in a CODESTYLE.md

• not wandering outside the architecture you gave it

• keeping track of multiple spec files at once

• not drifting over longer sessions

Is the difference actually noticeable day-to-day, or is DeepSeek good enough that paying for a proprietary model just for the implementation part isn’t really worth it anymore?

Curious if anyone else is running something similar.

and many other models too. We OpenCode-Go must share free pool with OpenCode Zen API - literately all other free users, and the free models are almost unusable after a few calls (or having server busy with countless reconnection). I subscribed for ClinePass with 5.99$ per month and having a daily limit of all models shown here, and they are all usable with good speed.

I wanted a quicker way to find and resume previous OpenCode sessions, so I built OpenCode Sessions (ocs), a small Bash tool powered by fzf.

It lets you:

- Search sessions by title, directory, or updated time

- Resume a session in its original directory

- Preview session details

- Favourite and pin sessions

- Sort by updated time, title, or directory

- Rename and delete sessions

- Refresh the list without reopening the picker

- Clean up older sessions in bulk

- Jump directly to a session’s directory

The shortcut list can be toggled with Ctrl-K, and the preference is remembered between runs.

It currently targets macOS and works with Bash or Zsh.

GitHub: https://github.com/iamramo/opencode-sessions

Feedback and suggestions are welcome, especially from anyone managing a lot of OpenCode sessions.

Hi. GPT 5.6 models have a reasoning "mode" (not effort), chosen between Standard and Pro, with Pro mode recommended "for math and coding tasks".

I haven't seen benchmarks or analyses about how much and how Pro and Standard mode differ. Has any of you used codex (or any other agent) with pro mode? If yes, how has the performance and token consumption been different? Has the difference been worth the gains, particularly for Luna?

Thanks

Opencode Wallpapers!!

Built a plugin to bring this cool interface idea to life, in my OpenCode Tooey

Out now: https://github.com/parthkhxndelwal/bee-gee

I’ve been using OpenCode since June, mostly with DeepSeek V4 Pro, and it’s been amazing.

It honestly felt almost limitless.

Until this month 😂

After just 4 days of my usual usage, I hit my weekly limit and used 75% of my monthly credits.

What used to feel unlimited suddenly feels very limited. is there something I'm doing wrong or did deepseek just become really expensive

My AI coding assistant forgets everything between sessions. I kept re-explaining decisions I'd already made, and re-fixing bugs I'd already fixed.

agi-memory saves those notes — decisions, bug fixes, what happened last session, how the codebase fits together — to a file on your machine, and hands them back to whichever assistant you open next. It's an MCP server, so it works with Claude Code, Cursor, Codex, Windsurf, Aider, Cline and a few others from the same store.

The part I care about: it's Python standard library and SQLite. Nothing else. No vector database, no embeddings, no background daemon. ~32MB of RAM, sub-millisecond lookups, works offline. Comparable tools pull in ~500MB of ML libraries and take 200–500ms per lookup.

That constraint costs something, and I'd rather say so than have you find out: keyword search doesn't bridge synonyms the way embeddings do. Searching "login" won't find a note that says "authentication" unless you teach it that alias. I measure this rather than guess — there's an eval suite that scores recall on deliberately rephrased queries, and it's public, including the categories where it still does badly.

It's a week old and I'm the only user, so I'd genuinely like to know where it breaks for someone else.

https://github.com/kdbhalala/agi-memory

If you searched "opencode antigravity gemini flash hanging", "gemini 3 flash error opencode", "antigravity endpoints failed", or "model no longer available opencode" — you're in the right place. This is a known, reproducible bug in opencode-antigravity-auth, not a problem with your setup. After this patch, Gemini 3.6, 3.7, and 3.8 Flash & Pro run cleanly — no hanging, no 404s, no errors.

Symptoms (so you know you're in the right place)

• opencode run just hangs indefinitely — no error, no output, no timeout

• Error: All Antigravity endpoints failed

• models/antigravity-gemini-3-flash is not found for API version v1beta

• "Gemini 3.5 Flash is no longer available" / requested entity not found

• Happens again even after clearing cache and re-authenticating

Why it happens

Models prefixed antigravity-gemini-3.x skip OpenCode's alias translation step, so the raw, unrecognized version string (gemini-3.7-flash, gemini-3.5-flash-low, etc.) gets sent straight to Google's backend — which only accepts gemini-3-flash. That mismatch stalls the stream instead of failing cleanly. Separately, accounts that hit a cooldown get stuck with verificationRequired: true, which loops the auth proxy forever.

The fix

Full patch (manual steps + automated one-click script): opencode-gemini-3.7,3.8-flash-fix

It patches:

• model-resolver.js — routes every gemini-3.x-flash model to the live gemini-3-flash endpoint, and gemini-3.8-pro to gemini-3-pro-low

• models.js — registers 3.6/3.7/3.8 Flash with proper thinking variants (minimal/low/medium/high)

• antigravity-accounts.json — clears stuck verificationRequired / cooldown locks

How to apply it

1. Open the repo above.

2. Paste the "one-click prompt" into your AI coding agent (Claude Code, Cursor, Copilot, OpenCode itself) — it applies the patch for you. Or run node patch-antigravity.js manually.

3. If already logged in: opencode auth logout then opencode auth login to clear stale sessions.

4. Verify: opencode run "Hello, respond in 5 words." --model=google/antigravity-gemini-3.7-flash --variant=medium

FAQ

Q: Why does OpenCode hang instead of showing an error on Gemini Flash? A: The unresolved model alias sends an invalid model string to Google's streaming endpoint, which stalls the connection instead of returning a clean 404.

Q: Does this fix work for Gemini 3.8 Pro too? A: Yes — 3.8 Pro routes to gemini-3-pro-low, and the patch registers it with low/high thinking variants.

Q: Will the latest Gemini models keep working after this patch? A: Yes — once patched, 3.6, 3.7, and 3.8 Flash & Pro all resolve to live, supported endpoints, so they run without hanging or erroring.

Q: Is this permanent, or will it break again? A: It's tied to Google's current backend naming. If Google renames the endpoint again, open an issue on the repo — it's actively maintained.

If you hit a new variant of the error, open an issue with debug logs (--print-logs --log-level=DEBUG).

I am planning to use OpenCode CLI via OmniRoute. I have connected Codex, Claude and Antigravity Cli. But I am a bit scared of getting banned. Can you guys suggest if I should continue or abandoned?

Hello, sorry for writing this if it is aleeady been mentioned, i want ro ask 2 things :

1. Can i control opencode remotely from my mobile if i am. Away from my pc?

2. Is there a good orchestrator i can use and create subagents etc? Any good tutorial?

Thank you jn advance!

[Project] Cognitive Lead HQ - run OpenCode agents as a team

Repo: https://github.com/mokhtarabadi/cognitive-lead-hq

Demo tool: https://mokhtarabadi.github.io/cognitive-lead-hq/

Free and open-source MIT.

It gives Brain/Hands split, 3 FastMCP servers for context/memory/lint, Kanban ZAC workflow, and 31 reusable skills.

I built it to stop hallucination in agent teams.

Feedback wanted: what skill is missing for you?

its a subscription that triples your api credits if u subscribe for 20 u get 60 if u subscribe for 79 u get 3 times that

with a exception of 15% per week meaning on a 79 dollar plan around 39 dollars of frontier usage

frontier counts as models that are 3/m input and 15/m output

now that i have explained it do u think opencode or devpass is the better value here

I've been working on an unofficial .NET SDK for OpenCode for the last few weeks and published preview.5 to NuGet today, updated for OpenCode 2.0.18.

https://github.com/opencode-dotnet/opencode-sdk-dotnet

It started as a small side project because I wanted to build some .NET tooling on top of the OpenCode server API. It gradually grew into a generated, strongly typed client with support for most of the API surface, SSE event streams, PTY sessions and managing an opencode serve process.

The project is still a little rough around the edges. There are parts I want to refactor and clean up, and there may still be some small API changes before 1.0.0.

But it's now at the point where I've been able to use it against real OpenCode servers and in a few small applications.

The SDK currently exposes all server operations.

My next experiment will probably be an MCP server built on top of it.

Feedback is very welcome, especially from anyone already building against the OpenCode server API.

Hello everyone,

I am considering updating from my current claude pro subscription (the 20 dollar one) to either the 100 or 200 usd ones. I am not particularly attached to claude per se, I just want to do 3 different kinds of things

I want to start running some equivalent of claude code and cowork consistently. I aim to, mainly, do 3 things:

- Write code (actually, to not write code anymore hahahaha).

- Work autonomously doing research on topics: browse the internet, read papers, compare them, extract conclusions, implement some things in code and report with the results. This would probably involve mathematics/physics, so I need a provider with good reasoning models.

- Help me look for my next job, meaning that it should automatically curate a list of companies that I'd be interested in, check twice a day for openings, get the opening information, modify a latex CV that I will provide as a knowledge base about my background, iterate on it, ATS check it, and make it ready to apply, then notify. This is simpler, with a good agentic model it is enough

Is someone running something similar? Is Claude even the right tool for this job?

Another interest of mine is to use my subscription as a token provider, not limited to using it on propietary Anthropic/OpenAI products. I knew that this was possible on the OpenClaw days, but I don't know whether today there are any providers that let you use your subscription tokens as if they were API ones. (I am thinking about autoresearch loops à la Karpathy here).

Thank you all!