u/afanasenka

Rollercoaster...

They are crushing it today:)))

I really hope Opencode will manage to get a better deal with DeeepSeek in the end.

I've been using Muse Spark for only half a day, but I can say that it is very pleasant to work with as a regular workhorse model.

IMPORTANT NOTE: if you don't want to share your data with Meta, don't use 'Contributor' variant.

Some quick facts first:

- it has 1M context window

- it has a very generous 226,600 requests per month quota on the Opencode Go plan (for Contributor variant).

- it scores 82.9% vs 82.7% in Terminal-Bench 2.1 (versus DS4 Flash) - basically the same

What are my usage scenarios?

- existing codebase refactoring (Flutter)

- codebase exploration, architecture discussions

- bug hunting

- ... other similar stuff

I DO NOT run long autonomous loops, so I can't say anything about how good Spark handles them. As a coding partner it performs fast and confidently, not being lazy on codebase exploration tasks.

How does it feel compared to Flash? Well, actually, I don't see that much of a difference at all (at least, for now, in my usage scenarios). It creates decent code, spots those tiny non-obvious things that I may miss, can use all Opencode's tools confidently (git, websearch, etc).

The only thing that bothers me is that cache hit rate, for some reason, still sits about ~85% percent, while with Flash it is usually about ~95-98%. Therefore, usage costs feel slightly higher than I expected. But I definitely need more time to observe this without making early conclusions.

I will definitely continue to use it, and I guess more nuances will be revealed. But for now I can't say anything bad.

I am NOT in the US, but I see it in my models list (in TUI). Still not sure if it is a Contributor variant or not? How good/bad is it compared to, say, Flash or MiMo 2.5 in real life usage scenarios (not benchmarks)?

Even slightly increased interest in other models couldn't compensate for the dramatic Flash usage drop :) MiMo 2.5 and GPT Luna appeared to be the most appealing alternatives.

Phase 2 is coming... :)

Per Z.AI, "GLM-5.3 is the most capable open-weights model for coding, with a 50% improvement over GLM-5.2 on our in-house Z.ai Code Bench. It also achieve open-source SOTA on public benchmarks including Terminal Bench 3.0 and Agents' Last Exam."

$1.50 / $7.50 / $0.15

Gemini 3.7 Flash supports a 1M token context window, 64k max output tokens, tunable thinking levels (low, medium, high), and the same suite of built-in tools as 3.6 Flash.

Have you guys tried it yet? Is it stable and safe to upgrade?

Nice!