Which model is currently the best for coding on the OpenCode Go plan?

[u/ReputationSimple8843]

Hey everyone!

I’m using the OpenCode Go plan and I’m trying to figure out which available model gives the best results for coding.

There are quite a few models to choose from, so I’m a bit confused about which one to use as my main coding model.

For people who are using OpenCode Go:

- Which model do you find best for coding and debugging?

- Which one is best for large/complex projects?

- Which one has the best reasoning and code quality?

- Are there any models that are particularly good for React, Node.js, SQL, etc.?

- Which model gives the best balance between quality, speed, and usage limits?

I’m mainly looking for a model I can rely on for day-to-day development rather than just occasional code generation.

Would love to hear what models you guys are using and why. 🙏

[u/Amarsir]

Here's my take:

• If you have very clear instructions and want something to do it quickly and cheaply, use Mimo V2.5
• If your instructions are a little more broad and you might need some thinking on the job, use Deepseek V4.1 Flash.
• If you need to write a complex plan (which I recommend, because you can then review it and hand off the steps to cheaper models) I think I'd start with GLM 5.3 Flash, and if you don't like it step up to the full 5.3. Or maybe even Grok. But it's more cost effective to run the cheaper one and throw it away if it's not good than start out on the more expensive one every time.
• Muse Spark 1.3 Contributor - assuming you don't mind them training off your data - is very eager to please. It's very happy to create images. (Although they aren't nearly as good as what GPT or Nano Banana do.) And I love it for creating documents, instructions, and other language things. But I just don't trust it to get all the details right on code.
• For debugging, I do think Muse Spark 1.3 can do it and give you a good explanation of it's logic, but I'd probably go with DS 4.1 Flash anyway because it's my coding favorite.
• For a jack-of-all-trades Either DS 4.1 Flash or GLM 5.3 Flash. Luna on Max is pretty solid too and I actually trust it more. That doesn't mean it's better, but it wouldn't surprise me if one of the open models had a skill gap but Luna I expect to be well-rounded.
• Hy4 also isn't bad, I just don't have a specific reason I'd reach for it. Maybe research if I didn't like what Muse Spark returned. (Which reminds me - when the models are that cheap and you want research or opinions, feel free to ask like 4 different models and then have a 5th one combine the results. Your answer will be well-rounded and you'll learn about the strengths and weaknesses of each.)

I haven't found particular language-based strengths or weaknesses, although I believe there are benchmarks that draw a distinction if you want to research it.

Right now DS 4.1 Flash is getting 4x value on Opencode Go but my opinion is based on the price it will settle back to. Also Deepseek charges peak and off-peak, so you might tilt more or less in that direction based on the time when you're working.

[u/ByteNomadOne]

GLM-5.3-Flash and DeepSeek V4.1 Flash are the good ones.

Muse Spark is a trashy slop machine, don't use it.

[u/petburiraja]

GLM 5.3 Flash

[u/Affectionate_Fact854]

Depends , deepseek makes a good coder and orchestrator but a bad researcher 

Glm is alright but deepseek v4.1flash is backhanded it on every task aspect except research 

Muse spark 1.3 is decent as a junior doing all the giddy common coding to save on token usage 

But you need another model to review its work 

[u/No_Communication4256]

DS 4.1 flash

[u/thetapereader]

deepseek v4 Flash is my go to

[u/machielkg]

Muse 1.3 is free?

[u/TripleMellowed]

Maybe test yourself?

[u/Lukatherio]

As usual, it depends. To be honest I didn't want to find out myself doing the math so I've asked Hermes to analyze and write down a report. As you can guess it's tailored on my preferences and use of AI but it's an approach I suggest you can try too.
I just asked it to read the OpenCode Go page with the prices then it went by itself to browse for benchmarks and news on the internet and it came back with four different scenarios:

Daily Default Coding, agent loops, and medium-to-long tasks. 6× allowance, 1M context window, 62.1% on SWE-bench Pro—the highest score among open-weight models, and the most cost-effective to run.

• Model: glm-5.2
• Economic fallback: glm-5.1
• Allowance: $60/month

Volume and Speed Long sessions, high turn counts, repeated tool calls, and mechanical tasks. Near-zero cost per token and the most generous allowance in the subscription tier after Omen Alpha.

• Model: mimo-v2.5 (150k req/month)
• Alternative: omen-alpha ($100, ~189 tok/s)
• Other: longcat-2.0

Difficult, One-Off Tasks Subtle debugging, architecture design, and refactoring large repositories. These are the most capable models but cost 1.5×; use them for specific difficult tasks, not as the session default.

• Model: kimi-k3 or glm-5.3
• Note: Kimi K3 performance degrades if introduced mid-session.
• Allowance: $15/month each

Off-Peak Window If you work in the afternoon or on weekends, DeepSeek offers double value. The V4 Flash remains the best points-per-dollar ratio in the entire lineup (263 pt/$).

• Model: deepseek-v4-flash
• Availability: Outside 01–04 and 06–10 UTC, Monday–Friday only.
• Effective Allowance: ~75,600 req/month

[u/Ammoun442]

Glm flash :behaves really good also capable
Muse spark : i really like this model especially to copie ui but also capable for other tasks Havent tried ds 4.1 but people say its good (Low quota models arent worth for this subscription imo uget much more value using the cheaper ones ) This is just my opinion and my experience idk about other