This is not speculation. That’s what I’m actually using nearly every day. It’s not as good as Claude Code with Opus 4.6 but it’s about 90% of the way there (if you use it right). When GLM-5 came out that’s when I cancelled my Claude subscription and just stuck with Ollama Cloud.
I can use gpt-oss:20b on my GPU (4060 Ti 16GB)—and it works well—but for $20/month, the ability to use qwen3.5 and GLM-5 are better options.
I still use my GPU for (serious) image generation though. Using ChatGPT (DALL-E) or Gemini (Nano Banana) are OK for one-offs but they’re slow AF compared to FLUX 2 and qwen’s image models running locally. I can give it a prompt and generate 32 images in no time, pick the best one, then iterate from there (using some sophisticated ComfyUI setups). The end result is a superior image than what you’d get from Big AI.
I literally said I’m using qwen3.5:122b for coding. I also use GLM-5 but it’s slightly slower so I generally stick with qwen.
It’s right there, in ollama’s library: https://ollama.com/library/qwen3.5:122b
The weights and everything else for it are on Huggingface: https://huggingface.co/Qwen/Qwen3.5-122B-A10B
This is not speculation. That’s what I’m actually using nearly every day. It’s not as good as Claude Code with Opus 4.6 but it’s about 90% of the way there (if you use it right). When GLM-5 came out that’s when I cancelled my Claude subscription and just stuck with Ollama Cloud.
I can use gpt-oss:20b on my GPU (4060 Ti 16GB)—and it works well—but for $20/month, the ability to use qwen3.5 and GLM-5 are better options.
I still use my GPU for (serious) image generation though. Using ChatGPT (DALL-E) or Gemini (Nano Banana) are OK for one-offs but they’re slow AF compared to FLUX 2 and qwen’s image models running locally. I can give it a prompt and generate 32 images in no time, pick the best one, then iterate from there (using some sophisticated ComfyUI setups). The end result is a superior image than what you’d get from Big AI.