GLM 5.3 Max at 81 tok/s 96% cache hit rate in the Deepseek Harness.
One of the strongest models for deep agentic engineering.
Jev + deepseek v4 flash is a great combination. I reconstructed my project
Jev + deepseek v4 flash is a great combination. I reconstructed my project, a bunch of intent recognition things, using Jev. The effect is very good, very fast, and very economical. Coupled with the speed of DeepSeek V4 Flash, it is so fast.
A model that beats GPT on some benchmarks is running on my desk right now.
Nobody is covering it. If you have two Sparks and you are not checking out Qwen3.8-Flash, you are missing out. Tools at 128k context, the lane where most local models die: 89.7 tok/s, zero XML leakage.
DeepSeek released V4.1 Flash on Sept 10, and it is a real step up.
The model can now understand images natively, it holds a million tokens of context, and the weights are MIT licensed. Read the full breakdown:
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