GLM 5.3

$1.40 per 1M input tokens and $4.40 per 1M output tokens; cached input $0.26 per 1M; cheapest via Wafer at $0.079 / $1.40. A typical benchmark task costs about $2.01 at max effort.

There is no free API; the cheapest paid price is $0.079 per 1M input tokens. The weights are open, so you can run it yourself.

#37 of 334 in Chat & Knowledge, #12 of 132 in Coding, #13 of 133 in Agents & Tool Use, #23 of 195 in Writing & Language, #52 of 133 in Vision & Documents. Strongest at: Coding, Agents & work tasks, Reasoning, Science, Long context, Knowledge.

On DeepSWE 1.1, GLM 5.3 scores 69 vs 43.8 — higher. It is 36% more expensive per task.

Through the API of AkashML, Alibaba, AtlasCloud, Baidu, Cloudflare and 24 more.

1M tokens, with up to 131K output tokens.

Released 2026-08-14. It is the current version in its line.

Yes, the weights are open (glm-5.3 licence).

The weights are open and can be self-hosted; hardware needs are not confirmed yet.

No, it accepts text only.

GLM 5.3 is an open-weights language model from Z.ai, released Aug 2026, the successor to GLM 5.2.

Gemini 3.8 Flash (cheaper), GLM 5.3 Flash (open weights).