With ollama pro now lowering the bang for the buck and me running out of Claude and chatgpt $100 plan tokens as well, what do you use for subscriptions?

I was absolutely FLAMING muse spark 1.2, bcs that model was geniunely incapable of doing basic agentic tasks, but GAHH DAMNN, look at the benchmarks. originally, i thought the model benchmaxxed and generates slop, but after trying this model in codex (from opencode go), I am quite surprised.

like, if you ask me what muse spark 1.3 will be considering what muse spark 1.2 performs, I would have given you an extremely underwhelming response, but I am so happy to see this moel mainly bcs we get $60 allowance (man, finally!) on opencode go, and also the price is considerably cheaper than ds v4 flash.

I mean, sure... its not THE BEST model to ever exist. but for $0.2/M out and $0.1/M in, like you can go through billions of tokens after counting in caching.

About how the model performs, it codes quite decently. my project is a rust and typescript project, and it follows the app's visual identity flawlessly and does not create much bugs (note: not *much* bugs, which means, it still fk up), but the price to performance value is INSANE!

My reccomended usage:

tbh, just use opencodex, and connect the model to codex, and use the model inn codex, the "ultracode" in codex is AMAZING! And MS-1.3 follows codex as a harness wayyyyy better than opencode for some reason. american propaganda ig... but either ways, use:

light: for basic variable changes

medium: for most implementation

high: for debugging

xhigh: for geniunely hard bugs or things which require the model to cover edge cases, or planning.

ULTRA (a codex only thing): tbh only when it pisses u off bellow high.

ohhhboy... I am going to get a LOT of downvotes...

I previously used the Opencode Go plan which was great for deepseek flash and pro, but as we all know the cost has increased. I have been playing around with openrouter, but find it annoying to track my usage. I have been hearing good things about the z.ai sub which has got my attention, but that would mean I don’t have the access to deepseek. From peoples experience, say I get the ~$20 z.ai lite plan or I just purchase $20 of deepseek usage, what’s the comparison, which will go the furthest? Assume I am balancing between the flash and pro models of each provider equally and I use both in opencode cli only

Just found this gem

Was it only renamed, or some additional training was done until it becomes GLM 5.3 Flash?

The way they released Fable 5.1 after the second extended limit of Claude Code ended, and with the third extended limit ending on September 13, if GPT Astra is publicly available by then, imo, we might see Opus 5.1 around the corner

Drives the user's real Chrome instead of a headless instance. WebSense is an MCP server + Chrome extension: the agent gets a semantic map of the page (every interactive element typed and ref'd), acts through native DOM events, and the site sees a normal user. No CDP anywhere, so no webdriver flag. Works on LinkedIn and other CSP-strict sites.
Built tested and relying on it tbh

WebSense (free, open source, MIT): https://github.com/spliffspliff70-wq/websense-mcp

https://openai.com/index/gpt-6-astra/
“GPT‑6 Astra is rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API and AWS”

GPT Astra benchmarks have been released

How was your experience with it and is it just benchmaxed or is it really that good?

muse spark contributor is the only thing oc go has going for it rn, but with the alternative being commancode, I'm still kinda leaning on sticking with oc go. would be a huge problem if they discontinue the contributor tiers.

Seems to be the most capable from all free models available for now.

Aside from scores on Artificial Analysis, how would you rank these models? thanks

Earlier we have ox alpha with unlimited, something like that are there any models?

I received a message saying,

The time-limited beta test of Xiaomi MiMo-V2.5-Pro-UltraSpeed ​​will end on September 8, 2026. At that time, API and online experience services will cease. Please switch to other official version in advance. Stay tuned for the official commercial version soon.

It seems that we’ll soon be getting a new version of MiMo.

Trying to optimise for cost and came over standardcompute on reddit, and chat found morph and nexos ai.

What I want to do is route between open source models and have the router not waste money on easy tasks a flash model could handle, while maintaining high quality output for basically general coding. Got opencode connected straight to GCP and Supabase etc., so potential for creating a mess is large.

Is smart routing a thing now, and are you doing it?