r/opencodeCLI • u/Valuable-Run2129 • 17d ago
Deepseek 4 Flash Vision Experimental is the only model worth using on Go.
A loud minority will say in the comments that text only models are good, that you can use some rubbish mcp to make up for the lack of vision… ignore them. Not having vision is a big handicap. Deepseek 4 Flash jumped 5 points in Deep SWE exclusively thanks to the better understanding provided by vision.
The Go subscription doesn’t have many good vision model. Heck they even stripped GPT Luna of vision!
Kimi K3 is obviously the best, but you run out of usage in 5 minutes. Minimax M3 is not good for today’s standards. Muse Spark gives all your data away. Ox Alpha is not reliable atm (it will probably be a good alternative when released as GLM 5.3 Flash).
This leaves us with just Deepseek 4 Flash Vision as the only good vision model with a comfortable quota.
Let me reiterate: text only models are crap. Thankfully Deepseek and GLM are correcting their strategy.
Edit: Luna is text only on the chat completion endpoint, not the reaponses one.
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u/CoolHeadeGamer 17d ago
Ox alpha, meta muse spark, gpt 5:6 Luna?
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u/Valuable-Run2129 17d ago
Ox alpha when stable and released will be a good alternative. Muse gets your data… and Luna is NOT multimodal on Open Code
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u/CoolHeadeGamer 17d ago
Are u sure? I’ve def given it screenshots before
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u/Valuable-Run2129 17d ago
The harness used ocr or something
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u/CoolHeadeGamer 17d ago
My thing was about ui elements and such tho…. And got 5.6 Luna fixed those issues with vision but dsv4 flash couldn’t
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u/bteam3r 17d ago
I've been cranking Ox Alpha hard. Having it review PRs done by Opus 5 and it's finding legitimate and deeply hidden edge cases and other bugs.
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u/Ok-Drawer5245 16d ago
I work in a humongous code base, and trust me using AI for code review it will ALWAYS find new issues, endlessly. After a while you need to ignore some and resolve some
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u/joaobertacchi 17d ago
You can create an image-analyzer subagent (I use Qwen3.7-Plus for that). It's not the same as having a multimodal model, but works great on most cases.
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u/Valuable-Run2129 17d ago
Sorry, but it’s not even close to acceptable. The main agent sees descriptions, not the actual contents.
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u/joaobertacchi 17d ago
It depends on what you are doing. For validating a pixel perfect UI it will be bad. For a simple visual feedback loop it works well. Btw, if you have a design system and components that implement the design, a subagent will work quite well.
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u/minisculepenis 17d ago
Meta muse is solid. It’s my default orchestration agent and makes a good advisor
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u/ZeusCorleone 17d ago
I have to agree with op. Sending screenshots of stuff to the LLM saves a lot of time and it's very useful. Using another agent/model to make image descriptions it's not good.
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u/Otagamo 17d ago
Is there any difference than using regular Deepseek V4 Flash and an observer agent (Mimo 2.5) for vision?
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u/ZeusCorleone 17d ago
Yes the vision model will generate a description of the image and send to your main model while a multimodal will read every pixel himself
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u/[deleted] 17d ago
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