OpenCode Updated usage/models (28/8/2026)

The GOATs have arrived. Both very affordable and better than DeepSeek V4 Pro and GLM-5.2 (if benchmarks mean anything at this point). * (New) GLM-5.3-Flash: competitive with GPT-5.6 Sol (high) with bonus vision! even at only $15 of usage, it’s still affordable * (New) Qwen3.8 Flash: competitive with GPT-5.6 Terra (max) and also with vision. $30 usage from the get go (and fast) * (New) Hy4 Preview: Tencent’s first frontier model, needs more work but looks very capable already. $30 usage Model |5HOURS |1WEEK |1MONTH |CREDITS -----------------------------|-------|-------|---------|--------- GLM-5.3-Flash |1580 |3950 |7900 |$15 Qwen3.8 Flash |5400 |13500 |27,000 |$30 Hy4 preview |1350 |3380 |6770 |$30 Remember how happy we were with DeepSeek V4 Flash 0731? this inference and capability acceleration of local-friendly open weights models is a little scary… [https://programming.dev/pictrs/image/c73f9440-5964-4843-bc6b-437f078c7335.png] I’m personally most impressed by Qwen3.8-Flash-Next, this has a new architecture meant to power Qwen4 that allows it to partially utilize SSD storage to offload about 30% of its parameters (n-gram weights). Even though this model is supposed to be for preview/research, it’s already capable enough to beat GPT-5.6 Terra (xhigh). I predict the first Qwen4 Max will at least match Opus 5! Imagine a new 27B or 35B using this same architecture…! only one way to go from here 🏹