8/18/2026 at 11:20:58 PM
I like to compare models with a similar score on cost per task and output tokens per task since those measure two things I'm interested in: cost efficiency and token efficiency. Here's how GLM-5.3 compares to other models in a similar score and against GLM-5.2 to save a few clicks for others who care about these metrics: Model Score Cost / Task Output Tokens / Task
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GLM-5.3 (max) 59.5 $0.68 41,107
GLM-5.2 (max) 53.0 $0.56 32,200
Claude Opus 5 (high) 61.5 $1.52 21,353
GPT-5.6 Sol (max) 60.9 $1.23 16,879
Grok 4.6 (high) 60.9 $0.84 21,735
Kimi K3 (max) 59.7 $0.84 25,474
GPT-5.6 Sol (xhigh) 59.0 $0.87 11,098
Claude Opus 5 (medium) 58.6 $0.98 12,459
Qwen3.8 Max 58.1 $1.13 38,287
Qwen3.8 2.4T A95B 57.7 $0.95 32,472
Claude Opus 4.8 (max) 57.3 $1.65 33,557
GPT-5.6 Sol (high) 57.3 $0.52 7,545
Muse Spark 1.2 (xhigh) 56.8 $0.40 30,430
GPT-5.6 Terra (max) 56.6 $0.51 20,838
GPT-5.5 (xhigh) 56.3 $0.69 16,893
Gemini 3.7 Flash (high) 56.0 $0.40 36,847
by scotttrinh
8/18/2026 at 11:27:42 PM
Muse Spark has a nice balance. not to mentions the Contribs version is old deepseek flash prices.by sourcecodeplz
8/19/2026 at 12:30:54 AM
Tested muse spark 1.2 because it was rated so high on design arena, and I've missed a model that can do nice UI in the hands of an operator with no UI skills.It produced worse UI mockups than GPT and GPT models are already the bottom of the barrel here. The only model that performed well was Kimi K3 - insanely good, but expensive.
It's hard to trust benchmarks these days.
by glub
8/19/2026 at 3:26:27 AM
If you just want it to generate UI out of nothing, the benchmarks aren't really for that.If you want to generate a UI based on specific user input of some kind, then they are.
I'd suggest using one model for UI and another model for tacking onto that UI. LLMs are great at pattern matching, and benchmarks don't really capture one-shotting desirable UI.
That said, benchmaxxing is a thing and your experience with models is a thing. Benchmarks are fuzzy and should be taken with a grain of salt.
by samtheprogram
8/18/2026 at 11:35:35 PM
I found the sweetspot here: GPT-5.6 Sol (high) 57.3 $0.52 7,545(Edit: TLDR; It gets on with it, makes the same mistakes you would, without overthinking and overengineering, most of the time)
by sscaryterry
8/19/2026 at 12:22:16 AM
It would make reading and comparing a bit easier if the data was sorted by a dimension.by dudeinhawaii
8/19/2026 at 1:23:00 AM
Cost per task: Model Score Cost / Task Output Tokens / Task
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Muse Spark 1.2 (xhigh) 56.8 $0.40 30,430
Gemini 3.7 Flash (high) 56.0 $0.40 36,847
GPT-5.6 Terra (max) 56.6 $0.51 20,838
GPT-5.6 Sol (high) 57.3 $0.52 7,545
GLM-5.2 (max) 53.0 $0.56 32,200
GLM-5.3 (max) 59.5 $0.68 41,107
GPT-5.5 (xhigh) 56.3 $0.69 16,893
Grok 4.6 (high) 60.9 $0.84 21,735
Kimi K3 (max) 59.7 $0.84 25,474
GPT-5.6 Sol (xhigh) 59.0 $0.87 11,098
Qwen3.8 2.4T A95B 57.7 $0.95 32,472
Claude Opus 5 (medium) 58.6 $0.98 12,459
Qwen3.8 Max 58.1 $1.13 38,287
GPT-5.6 Sol (max) 60.9 $1.23 16,879
Claude Opus 5 (high) 61.5 $1.52 21,353
Claude Opus 4.8 (max) 57.3 $1.65 33,557
Model Score Cost / Task Output Tokens / Task
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Claude Opus 5 (high) 61.5 $1.52 21,353
GPT-5.6 Sol (max) 60.9 $1.23 16,879
Grok 4.6 (high) 60.9 $0.84 21,735
Kimi K3 (max) 59.7 $0.84 25,474
GLM-5.3 (max) 59.5 $0.68 41,107
GPT-5.6 Sol (xhigh) 59.0 $0.87 11,098
Claude Opus 5 (medium) 58.6 $0.98 12,459
Qwen3.8 Max 58.1 $1.13 38,287
Qwen3.8 2.4T A95B 57.7 $0.95 32,472
Claude Opus 4.8 (max) 57.3 $1.65 33,557
GPT-5.6 Sol (high) 57.3 $0.52 7,545
Muse Spark 1.2 (xhigh) 56.8 $0.40 30,430
GPT-5.6 Terra (max) 56.6 $0.51 20,838
GPT-5.5 (xhigh) 56.3 $0.69 16,893
Gemini 3.7 Flash (high) 56.0 $0.40 36,847
GLM-5.2 (max) 53.0 $0.56 32,200by ac29
8/19/2026 at 2:50:42 AM
This matches my experience with Sol. Read and thought for a while, and edited files, tested, edited again, then ran out of budget in a relatively short time. But its solution was very good and was done quickly, so all things equal I prefer that over something much more verbose like Deepseek.by salamo
8/19/2026 at 1:05:32 AM
this is not very useful.for over 1 billion real world users living in China, they don't have the option of paying $1.52 per task to use Opus 5, they are banned doing that due to US politics.
by tw1984
8/19/2026 at 1:32:47 AM
What’s the reseller situation?by Barbing
8/18/2026 at 11:40:14 PM
these $/task figures aren't very useful in my experience. it doesn't tell you how well it did the task.generally I choose models by their intelligence and then personal preference from direct experience.
by teravor
8/18/2026 at 11:55:15 PM
they make a ton of sense for tasks that are achievable with no prob by all models - e.g. writing scripts that do a specific thing etc.by kolinko
8/19/2026 at 12:08:22 AM
> writing scripts
by teravor