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GLM-5.3-Flash API pricing on Fireworks AI

Every Fireworks AI GLM-5.3-Flash rate we track, compared against 15 providers serving the same model.

Input from /1M
$0.150
Output /1M
$0.500
Input price rank
#6 of 15
Last updated
October 22, 2026

The cheapest GLM-5.3-Flash input price we currently track is $0.060/1M on Pareto Inference.

The cheapest GLM-5.3-Flash output price is $0.200/1M on Pareto Inference.

Fireworks AI GLM-5.3-Flash rates

Prices per 1M tokens. Batch and cached-input rates are shown where the provider publishes them.

Fireworks AI GLM-5.3-Flash pricing by mode
ModeInputOutput
Standard$0.150/1M$0.500/1M

About GLM-5.3-Flash

Creator
Z.ai
Modalities
text
Open weights
Yes
Full GLM-5.3-Flash details and every provider →Compare API pricing for every GLM model →

GLM-5.3-Flash on other providers

About Fireworks AI

Fireworks AI is an inference and training platform for open-source generative AI models. Founded by the creators of PyTorch, it serves text, vision, audio, image, and embedding models through a pay-per-token API, dedicated GPU deployments, and supervised or reinforcement training paths.

Frequently Asked Questions

How much does GLM-5.3-Flash cost on Fireworks AI?

Fireworks AI serves GLM-5.3-Flash from $0.150 per 1M input tokens, across 1 tracked pricing mode. Prices are collected daily — see the table above for current input, output, and cached-input rates.

Is Fireworks AI the cheapest way to run GLM-5.3-Flash?

Fireworks AI ranks #6 of 15 providers we track serving GLM-5.3-Flash on input price. The cheapest input price right now is on Pareto Inference. The lowest output price is $0.200/1M on Pareto Inference. Rates change often, and throughput, latency and context limits differ between providers — check the comparison above before committing.

Does Fireworks AI offer batch or cached pricing for GLM-5.3-Flash?

We track 1 GLM-5.3-Flash offering from Fireworks AI. Batch and cached-input rates appear in the table above when the provider publishes them; blank cells mean we have no current figure for that mode.