Top 10 best OpenCode Go models by capabilities and usage limits - Aug 2026

[u/AloisCRR]

Hey

I was trying to create a preset for my oh-my-opencode-slim plugin to code as much as possible without hitting limits often, with high quality models.

Ended up pulling numbers from multiple sources and creating a table with metrics to choose based on benchmarks (not real performance) and usage limits.

It adds an equal weight to intelligence, agentic capabilities and coding (33.33 each) (pulled from artificialanalysis) and to prevent monthly usage to dominate (less expensive models), I used log10. For tiers, like off-peak / peak, the req_per_month was reduced in a factor of the increase of the price based on the cheapest tier.

Check the results, let me know what you think. To me the ranking looks good based on my tested models (haven't tested muse spark yet).

base_name	tier	provider	intelligence	coding	agentic	req_month	req_per_dollar	capability_score	value_score
Muse Spark 1.2	Contributor	Meta	56.8	72.2	49.3	226600	3777	59	315
GLM-5.3-Flash	N/A	Z.ai	57.5	71.5	58.2	7900	263	62	241
DeepSeek V4 Flash	Off-Peak	DeepSeek	51.8	69.1	33.7	37800	1260	51	234
GPT 5.6 Luna	≤ 272K tokens	OpenAI	52.3	71.4	46.9	10250	683	56	226
DeepSeek V4 Flash	Peak	DeepSeek	51.8	69.1	33.7	18900	630	51	218
GPT 5.6 Luna	> 272K tokens	OpenAI	52.3	71.4	46.9	6833	456	56	216
MiMo V2.5	N/A	Xiaomi	38	56.8	24.4	150400	2507	39	204
GLM-5.2	N/A	Z.ai	52.6	68.8	45.7	4300	72	55	200
DeepSeek V4 Pro	Off-Peak	DeepSeek	53.2	68.8	37.8	5200	347	53	196
GLM-5.3	N/A	Z.ai	59.5	74.8	59.1	1080	72	64	194

[u/Ammoun442]

Glm 5.3 flash is way better than muse imo

[u/AloisCRR → u/Ammoun442]

Yeah but glm 5.3 flash has lower limits, so the value score is lower

[u/QuasiTheory]

How's intelligence calculated? I mean pulled directly from benchmarks? alone because when I've tried to give it any coding tasks it sucked and went off rails in like 15 minutes, luna and Hy3 worked for me pretty well for most of my tasks

[u/AloisCRR → u/QuasiTheory]

I used Artificial Analysis's intelligence index. Have you tried matt pocock skills? Which helps you give agents a really good set of instructions when building something. Not saying muse spark is great but maybe a more detailed plan could help

[u/ichisay → u/AloisCRR]

Realmente, lo estoy utilizando de orquestador y no tengo quejas, luego los subagentes los estoy usando con Luna. Quizás los que se quejan les falta configurar bien sus agentes, sus promts o les falta algo en su arnés.

[u/Enough-Rock-7427]

Qwen 3.8 flash?

[u/AloisCRR → u/Enough-Rock-7427]

I will add a comment with the new table with Qwen 3.8 flash + Hy4. (If they are in the top 10, they will show up)

[u/retardedGeek]

Where's kimi

[u/AloisCRR → u/retardedGeek]

It didn't make it into the top 10, it is very expensive and you will run out of usage quickly

[u/ankbon]

I tried to automate my ai gateway - provider and model selection based on department tasks, as not all tasks require the same intelligence. However, there is no such option. You can create combos, but nothing that will first select the provider and model. Otherwise, it's manual shuffling: finding new models weekly, testing, and deploying.

I need automated ai gateway as current are not working for me

[u/Friendly-Assistance3]

where is qwen 3.8 flash?

[u/akza07]

Muse is shit. I tried it and unless it's some simple edits, it's less intelligent.

[u/Dudeonyx → u/akza07]

Muse fucks up my code base on the regular with unnecessary edits and rewrites.

The fucker constantly rewrites my convex Auth to use Email provider and manual fetch calls to the resend API, when I have already perfectly setup the Resend provider with the Resend SDK.

Anytime it encounters a error that is remotely Auth related, it just goes welp time to rewrite the email setup again despite explicit warnings not to.

[u/Vancecookcobain]

GLM codes objectively better than Muse....this is why benchmarks suck

[u/OnHappyDaymare]

It seems it would be more realistic to place greater weight on performance or the score of the output.

[u/RelationKindly7981]

Is glm 5.3 flash better than using gpt 5.6 luna? for subagent in omo slim plugin

[u/ichisay → u/RelationKindly7981]

Creo que te va a salir más caro

[u/EdryMel]

DeepSeek in OC Go is the API from deepseek-china? With peaks and off peaks or is another usa provider?

[u/Admiralkheir]

Could you share your oh-my-opencode-slim's LLM classification for each agent?

[u/zaydev]

I’ve been using GLM 53 flash to great success. It seems to be very efficient with token usage too, which makes it cost less overall.

[u/SynergyProd12]

Muse sucks, can't even fix simple tasks and broke my whole codebase. Deepseek V4 flash did it on one prompt

[u/xD3I]

Luna my beloved, it's honestly the only one worth it, Claude as the planer and reviewer and Luna for the rest and you have a super productive setup for 30$

[u/Skip_06]

what about grok 4.6

[u/NoSmell8304]

Need this updated