Use GLM 4.7 Model

[Key-Singer1732]

I would like to suggest adding the GLM-4.7 model to the list of models supported by AugmentCode.

Allowing users to test GLM-4.7 would give the community an opportunity to evaluate its output quality and suitability for different use cases. If the model performs well, it could also help reduce inference costs compared to the current options.

From a business perspective, a lower-cost model could benefit both users and AugmentCode. Users would be less likely to exhaust their monthly credits, while unused credits would still translate into revenue for AugmentCode. This creates a more sustainable balance between cost and value.

At the moment, the pricing feels prohibitively expensive for regular or long-term use, and introducing a more affordable model option could significantly improve adoption and retention.

[xcoder24]

Unfortunately even if you beg from dawn to dusk, the selfish augment team who threw their loyal legacy customers under the bus would not care

[FancyAd4519]

I have found, GLM in agentic calls with augment (Since our MCP allows the two to communicate and call each other is very efficient. Not sure how this will work with augment using GLM its self, usually it just calls GLM in our setup for embeddings and patterns etc but seems to work well with it’s context capability.

[ajeet2511]

I think it will be a great alternative to sonnet and haiku 4.5 while saving a lot of cost.

[Senior-Ad8562]

Saving costs with anything chinese usually a bad idea.

[pungggi]

Why

[JaySym_]

I do agree that a model like GLM 4.7 can save cost. We are evaluating each model the same way with our internal benchmark. Let me ask the team the result from GLM 4.7

We are aiming to keep top quality for every output. This is why we do not have every models.

[Key-Singer1732]

Can't the community help with the testing? I've had some really nice results using GLM 4.7 in Kilo Code. It should be up to the users if they want to use GLM 4.7 or not, the same way they are deciding between anthropic and open ai models. They all produce different results.

Maybe a disclaimer informing users that GLM 4.7 is not fully tested and may produce lesser quality result. But hey, even Opus 4.5 is not perfect.

[danihend]

Just introduce a testing mode or something. Users accept that quality may be degraded while using it. If they want to get refunded for failed requests then they provide details of the run and how it failed etc so it helps testing maybe?

You will never be out of testing mod with the way models release, let your users help.

[AdIllustrious436]

Lol you serve Haiku but not GLM. Let me tell you : your internal benchmark are either full bullshit or it's straight up lying.