DeepSeek V4 Flash vs Kimi K2.6

Time to switch to Kimi k2.6 guys if you haven't already.

For $20 a month you can buy the OpenCode Go coding plan (its actually $5 for the first month then $10) which gives you many more tokens on models like Kimi K2.6, and then you can pay for the rest of the usage. So for $20 a month of tokens of Kimi K2.6 you're basically getting the equivalent amount of tokens of the $100 plan.

You can also use Qwen 3.6 35B A3B, which you can run on your local PC (as long as you have a decent graphics card).

After testing it and getting some customer feedback too, its the first model I'd confidently recommend to our customers as an Opus 4.7 replacement.

It's not really better than Opus 4.7 at anything, but, it can do about 85% of the tasks that Opus can at a reasonable quality, and, it has vision and very good browser use.

I've been slowly replacing some of my personal workflows with Kimi K2.6 and it works surprisingly well, especially for long time horizon tasks.

Sure the model is monstrously big, but I think it shows that frontier LLMs like Opus 4.7 are not necessarily bringing anything new to the table. People are complaining about usage limits as well, it looks like local is the way to go.

Benchmarks

WTF, I could just use the expensive ai models of opencode go for planning, writing specs and then use opencode zen deepseek v4 flash max for implementation. I am loving this opencode, loving the freebies