GLM-5.3 Artificial Analysis Benchmarks

scotttrinh2 hours ago

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:<pre><code> Model Score Cost / Task Output Tokens / Task ------------------------------------------------------------------------- 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 </code></pre> Edited for accuracy and more models.

sourcecodeplz2 hours ago
Muse Spark has a nice balance. not to mentions the Contribs version is old deepseek flash prices.
- glub1 hour ago
 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.
- sscaryterry2 hours ago
 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)
dudeinhawaii1 hour ago
It would make reading and comparing a bit easier if the data was sorted by a dimension.
- ac2937 minutes ago
 Cost per task:<pre><code> Model Score Cost / Task Output Tokens / Task ------------------------------------------------------------------------- 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 </code></pre> Benchmark score:<pre><code> Model Score Cost / Task Output Tokens / Task ------------------------------------------------------------------------- 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 32,200</code></pre>
tw198455 minutes ago
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.
- Barbing28 minutes ago
 What’s the reseller situation?
teravor2 hours ago
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.
- kolinko2 hours ago
 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.
 - teravor1 hour ago
 <pre><code> > writing scripts </code></pre> you can use a Gemini model completely for free doing that. no agent. aistudio.google.com

glub2 hours ago

I've tested GLM 5.3 on the release day and Artificial Analysis is spot on. It's a really good model.But my main takeaway was something else. I've used closed weight models for long enough that I've forgotten how good it feels to see reasoning tokens.With GPT/Claude, you kind of hope that intent was captured well, that agent had all the information, all the tools it needed, because you won't see "hmmm it seems like nix flake isn't available here and I shouldn't install something globally" until it slopped out millions of tokens and wasted hundreds of dollars for 8 hours. With GLM and the likes, you just stop the disease right where it begins.

Havoc2 hours ago
Yes, not necessary often but being able to stop something that is going off the rails is super useful. Especially if the root cause is prompt ambiguity - inject a clarification & it recovers
- glub1 hour ago
 It's also starting to go beyond reasoning and it's becoming much more problematic. Reasoning is one thing, but codex, for example now encrypts agent-to-agent messages as well, and compaction. I've no idea what subagents are instructed to do, or what they reported back in native codex.The only thing that's keeping me is the value $200 subscription provides. If that value disappears, I see no reason why not to switch to something that isn't a black box.
tw198454 minutes ago
With GPT/Claude, hiding those from users to waste their tokens is a feature, not a limitation.

swingboy6 minutes ago

Does Artificial Analysis use OpenRouter for model access to do their benchmarks?

Escapade51606 minutes ago

Sol is an underappreciated model. Dropped Claude today and went to codex. None of that god awful prose Claude used for me any longer.

BinRoo2 hours ago

Beware of the benchmarks listed. SciCode and EnterpriseOps for instance: <a href="https://shukla.io/blog/2026-08/gym.html" rel="nofollow">https://shukla.io/blog/2026-08/gym.html</a>

Onavo2 hours ago
The Chinese models also like to cut corners on stuff like science. Their scores on stuff like biotech and scientific knowledge is far from ChatGPT unfortunately. (Claude is pretty good but it just refuses all prompts).

markasoftware2 hours ago

Very impressive score for the size, though token use is higher than k3 and far higher than proprietary models, and its price to performance isn't all that far ahead of k3 as a result

Havoc2 hours ago
>token use is higher than k3 and far higher than proprietary modelsGLM sets effort to max by default historically.
- markasoftware2 hours ago
 Aa also benchmarked k3 at max

Zaheer2 hours ago

Is it worth using these models if I have a claude code subscription already? The appeal of lower cost is nice but I haven't gotten over the switching cost yet.

robertn7021 hour ago
FYI, you can use your Claude subscription pricing with OpenCode via Meridian[0], which also makes it easier to try out other models when they come out. You can also use your other subscriptions in OpenCode with CLIProxyAPI[1]. The switching cost was relatively high, mostly from claude code plugins but completely worth it. I'm now mostly using GLM-5.3 and Codex models via OpenCode and barely using Claude which seemed unfathomable less than two months ago.[0] <a href="https://github.com/rynfar/meridian" rel="nofollow">https://github.com/rynfar/meridian</a>[1] <a href="https://github.com/router-for-me/CLIProxyAPI" rel="nofollow">https://github.com/router-for-me/CLIProxyAPI</a>edit: reworded for clarity
oceanplexian1 hour ago
I use the $200 plan w/ Anthropic and run out of tokens half way through the week and supposedly they are progressively reducing the limits on all their subs even further.At some point I will switch, $200 buys a lot of tokens on OpenRouter.
- Sabinus1 hour ago
 Is the conventional wisdom that the subscription price/token is better than the API price/token not valid any more? Or is access to model diversity worth the increased per token costs?
- kilroy1231 hour ago
 Same here. I'm switching to the Codex plan. It just doesn't go very far now. Especially if you use fable at all.
culi2 hours ago
Use a unified proxy that lets you switch between models seamlessly. We are far from an equilibrium in this market and you will continue to have FOMO no matter who you pick if you go all in on one company
glub1 hour ago
If anything, it's going to be more expensive. Price/performance ratio isn't there yet for frontier open weight models.But regardless, you definitely should use a harness where switching models on the fly is easy. There's a reason why Anthropic uses their own proprietary formats/conventions anywhere they can - to lock you in when inference eventually commoditizes.
colingauvin2 hours ago
At least by API usage, they aren't yet lower cost than subscriptions. Not sure about GLM's subscription plans though.
- glub1 hour ago
  GLM subscription is better than API, but significantly worse than Codex, even when used outside peak hours.
notatoad2 hours ago
no, at subscription prices claude is a better value than GLM.They're only a better value if you're paying API rates

colingauvin2 hours ago

Tied for #1 by agentic index (with Opus 5).

scosman17 minutes ago

And reminder: it's less than a quarter the size of Kimi K3!

colingauvin3 hours ago

...do I take out a double mortgage to buy a 4 Spark cluster?

jtbaker15 minutes ago
Qwen3.8 27B doing a lot of lifting right now, and people seem to run it pretty well on 1-2x 3090 setups...
nvme0n1p12 hours ago
No, you use openrouter and spend 10% as much as using a proprietary model.
lisplist2 hours ago
$20k is personal loan territory, not a second mortgage lol
- colingauvin2 hours ago
  Not with my credit!

fenestella2 hours ago

[flagged]