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Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

cerebras.ai

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Re: Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

#11

Post by prodigycorp »

niklassheth wrote: post #8

This is more evidence that Cognition's SWE-1.5 is a GLM-4.6 finetune

Can you provide more context for this? (eg Was SWE-1.5 released recently? Is it considered good? Is it considered fast? Was there speculation about what the underlying model was? How does this prove that it's a GLM finetune?)

Re: Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

#12

Post by mhuffman »

prodigycorp wrote: post #11
niklassheth wrote: post #8

This is more evidence that Cognition's SWE-1.5 is a GLM-4.6 finetune

Can you provide more context for this? (eg Was SWE-1.5 released recently? Is it considered good? Is it considered fast? Was there speculation about what the underlying model was? How does this prove that it's a GLM finetune?)

I suspect they are referencing the 950tok/s claim on Cognition's page.

Re: Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

#13

Post by prodigycorp »

mhuffman wrote: post #12
prodigycorp wrote: post #11

Earlier quoted context omitted.

Can you provide more context for this? (eg Was SWE-1.5 released recently? Is it considered good? Is it considered fast? Was there speculation about what the underlying model was? How does this prove that it's a GLM finetune?)

I suspect they are referencing the 950tok/s claim on Cognition's page.

Ah. Thx. Blogpost for others: https://cognition.ai/blog/swe-1-5

Takeaway is that this is sonnet-ish model at 10x the speed.

Re: Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

#15

Post by nl »

niklassheth wrote: post #8

This is more evidence that Cognition's SWE-1.5 is a GLM-4.6 finetune

Not at all. Any model with somewhat-similar architecture and roughly similar size should run at the same speed on Cerabras.

It's like saying Llama 3.2 3B and Gemma 4B are fine tunes of each other because they run at similar speeds on NVidia hardware.

Re: Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

#16

Post by renewiltord »

Unfortunately for me, the models on Cerebras weren’t as good as Claude Code. Speedy but I needed to iterate more. Codex is trustworthy and slow. Claude is better at iterating. But none of the Cerebras models at the $50 tier were worth anything for me. They would have been something if they’d just come out but we have these alternatives now.

Re: Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

#17

Post by Flux159 »

Was able to sign up for the Max plan & start using it via opencode. It does a way better job than Qwen3 Coder in my opinion. Still extremely fast, but in less than 1 hour I was able to use 7M input tokens, so with a single agent running I would be able easily to pass that 120M daily token limit. The speed difference between Claude Code is significant though - to the point where I'm not waiting for generation most of the time, I'm waiting for my tests to run.

For reference, each new request needs to send all previous messages - tool calls force new requests too. So it's essentially cumulative when you're chatting with an agent - my opencode agent's context window is only 50% used at 72k tokens, but Cerebra's tracking online shows that I've used 1M input tokens and 10k output tokens already.

Re: Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

#18

Post by nine_k »

behnamoh wrote: post #4

If they don't quantize the model, how do they achieve these speeds? Groq also says they don't quantize models (and I want to believe them) but we literally have no way to prove they're right. This is important because their premium $50 (as opposed to $20 on Claude Pro or ChatGPT Plus) should be justified by the speed. GLM 4.6 is fine but I don't think it's still at the GPT-5/Claude Sonnet 4.5 level, so if I'm paying…

> What kind of workflow justifies this?

Think about waiting for compilation to complete: the difference between 5 minutes and 15 seconds is dramatic.

Same applies to AI-based code-wrangling tasks. The preserved concentration may be well worth the $50, especially when paid by your employer.

Re: Cerebras Code now supports GLM 4.6 at 1000 tokens/sec

#20

Post by elzbardico »

50 dollars month cerebras code plan, first with qwen-420, now with glm, is my secret weapon.

Stalin used to say that in war "quantity has a quality all its own". And I think that in terms of coding agents, speed is quality all its own too.

Maybe not for blind vibe coding, but if you are a developer, and is able to understand the code the agent generates and change it, the fast feedback of fast inference is a game changer. I don't care if claude is better than GLM 4.6, fast iteractions are king for me now.

It is like moving from DSL to gigabit fiber FTTH

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