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Z.ai releases GLM-5.3-Flash, a 320B-parameter natively multimodal model, claiming it outperforms GLM-5.2 at one-tenth the price
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Z.ai released GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series, with 320B parameters, claiming it outperforms GLM-5.2 at one-tenth the price.
For engineers evaluating LLM options, GLM-5.3-Flash introduces native multimodality to the GLM-5 series at a claimed one-tenth the price of GLM-5.2. If the performance claim holds, it could lower the cost of multimodal inference. However, the claim is unverified and requires independent testing.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Z.ai released GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series.
The model has 320B total parameters.
Z.ai claims it outperforms GLM-5.2 at one-tenth the price.
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