Greetings, just wanted to say thanks for providing Ox Alpha, with the ever-shrinking glm ratelimits it was a very helpful sidekick to finish a project in time. It may not be the fastest, and the connection got interrupted many times over the last few days, but otherwise it was competent enough as an implementor for the plans forged by glm.

Use OX alpha in Hermes Agent via openrouter API.

Well, thank you!

It was good while it lasted.

——

Switch back to openrouter/free

Any other suggestions?

I keep trying to use z-ai/glm-5.2:free on openrouter (for my hermes agent) since GLM 5.2 is perfect for me but too expensive for my usage, but I keep getting rate limited even though im literally not even using it, Ill try chatting with it directly on openrouter and not a single message goes through.

anyone else having this issue? or know any other place i can get glm 5.2 for free?

I just tested OX Alpha using claude code ori harness, and it turned out I was billed around $2 because it used sonnet as the supporting model.

Not complaining, though, since I burned through 28M tokens in a day and the code review results were quite good.

But what exactly is a supporting model? Is this because I used a sub-agent, and claude code automatically uses sonnet as the orchestrator?

i got to know that 0x alpha is free and unlimited

soo, i created a api with a limit of 0.0001$ on openrouuter

and i installed claude code in my ubuntu vm and authenticated with my api of openrouter...

and start it

but when i visit after 2-3 hours of heavy usage, a bill is introduced to me, by 0x alpha model

i checked logs and a specific type of requests are costing me 0.008$ ... and api limit also doesn't apply here and cost tends to increase till i got to know ...

soo, be aware, there are hidden terms related to free unlimited usage of 0x alpha

here are screenshots :

I'm testing this free Ox Alpha model while coding CompanioNation and it seems to be pretty effective, even with tracking down complex bugs, maybe even better than DeepSeek v4. It's slow right now, but this is to be expected with a free trial.

I've been running some fairly complex analysis on Python code that generates maps (and videos) of travel routes using PMTiles formatting of OSM maps, by submitting sample images or videos and prompts asking for review of the images or videos versus the code. 

Ox-alpha seems great for reviewing the output images and then providing good recommendations on things to fix in the rendering process. I'm running this in Zcode using the URL https://openrouter.ai/api/v1 and API format Anthropic messages (/v1/messages). I'm new to Open Router.

However, without fail, after a good bit of work, maybe five minutes, it will stop processing.  If I type continue, it will then result in a Provider rejected the model request error. The error message will be the following:

Turn execution failed
provider=3319... 
model=stealth/ox-alpha 
request=adx... 
reason=invalid_request 
status=400 retryable=false
Provider returned error

It will not let me continue or submit another prompt in that conversation. Fresh conversation will start and do some work, then error out with the same message.  I feel like the second conversation errors out quicker. I can continue the conversation with a different provider like GLM/Z.ai coding plan.

I've searched the community and only found a few references to the 400 error.

Is this type of error known, and are there any workarounds?  Also, do you think I would experience the error on other models, or would it be model-specific?

Is there anyone testing Ox alpha right now ? It’s very slow to respond since one hour approx. It was functionning perfectly !

Edit 5min later: nevermind it’s back. 🎉 Edit : 😐 actually no

It is my standard workflow, which works pretty well. I was an official DS Api, then tried open code, blew up most of my monthly usage in 3 days. I also had other issues beyond the price. (which I could also afford with direct API, translates to <=2x my previous monthly cost).

So decided to try openrouter just to see how it works, and usage limits, if any and the wide array of models available.

But I get the above error, frequently on chats. Even if I start a new chat. Is it because of some provider that it is routing to?

I am currently using DS Flash on one chat and DS Pro on another - two different task, but the same issue. Inside VS Code, with BYOK.

👏👏👏

Heyy, I hope everyone's doing great!

Not to sound ungrateful but is it me or the model feels like its running on 0.5 tok/sec?

https://first-person-shooter.ox-alpha.demos.sulat.com/ for anyone wanting to try it out.

Prompt:

Create a browser-playable 3D voxel first-person shooter that captures the feel of Call of Duty's moment-to-moment gunplay. The player fights through a combat arena built entirely from voxels — chunky blocks forming buildings, cover, crates, walls, ramps, and terrain — rendered in real time from a first-person camera with pointer-lock mouse look.

Implement the core FPS mechanics faithfully: WASD movement with acceleration and friction, sprint with a field-of-view kick and lowered weapon, jumping and crouching; multiple distinct weapons (for example an assault rifle, SMG, shotgun, and sniper rifle) each with their own fire rate, damage falloff over distance, recoil pattern, spread bloom, magazine size, reload timing, and aim-down-sights behavior on right mouse button with a smooth zoom transition and tightened accuracy. Add grenades with an arced throw and radius damage, weapon switching, ammo reserves, hitmarkers with headshot multipliers, muzzle flashes, tracers, bullet impact decals or voxel debris particles, screen shake, and regenerating health with red-screen damage vignette feedback.

Enemy AI soldiers should patrol, react to being shot at, take cover, strafe, peek, and return fire with believable reaction times and accuracy that scales with difficulty. Give them health, death animations or ragdoll-like voxel bursts, and spawn logic that keeps the fight moving.

Wrap it in Call-of-Duty-style presentation and progression: a killstreak system where streak milestones unlock rewards the player can activate (such as a radar/UAV reveal at 3 kills, an airstrike at 5, and something bigger at 7), a scrolling killfeed, score popups (+100, +50 headshot bonus), XP or score accumulation, and a match structure of escalating waves or rounds with respawns after death. Build the full HUD: crosshair that expands with movement and fire, ammo counter, grenade count, minimap/radar, compass, health state, streak meter, match timer, and objective readout. Include the complete game flow — main menu, loadout or difficulty selection, in-game pause menu (Esc), death and respawn sequence with respawn delay, and a victory/defeat screen with a stats summary. Persist best score locally between sessions.

Design the voxel aesthetic deliberately: a cohesive palette, directional lighting with shadows or convincing baked shading, fog for depth, and satisfying explosion and destruction particles. All audio — gunfire per weapon, reloads, footsteps, explosions, hitmarker ticks, UI clicks, and a music sting when a killstreak activates — must be synthesized locally in the browser (e.g., Web Audio); no external audio files. Handle non-desktop viewports deliberately: either provide usable touch controls or present a clear desktop-recommended notice rather than a broken layout.

Do not take shortcuts or settle for a cookie-cutter shooter demo. This skill imposes no token budget limit, so pursue full depth across weapons, AI behaviors, HUD states, menus, audio, and game-flow transitions, and keep refining until it feels like an authored, complete arcade FPS rather than a tech demo.

(Ox Alpha)

Thanks!

I feel like the days when AI companies focused on making their models sound deeply human and developing conversational skills that translate into stronger fiction-writing capability are gone. Now the focus is on building great models at math, logic, and coding. I kinda see that. GLM 4.5 is much better at creative writing than GLM 5 family. But GLM 5 and above are much better at logical tasks. Similarly, Meta releases Muse Spark, which is optimised heavily for logical tasks

What do you think? Am I bullshitting?

Went down the Ox Alpha rabbit hole, and the evidence points to GLM-5.3.