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Model details

GLM-5.3 (Together AI)

GLM-5.3 is a large language model released in mid-August 2026 by the Chinese lab Z.ai, with reporting on the launch tying it to the broader story of how Chinese research groups are keeping pace with frontier AI development outside the US ecosystem. The Axios coverage from August 14, 2026, frames the release as a notable open-source AI event that was partly held back because of hacking-risk concerns, suggesting that security considerations shaped the rollout timeline. The Interconnects AI analysis published on August 23, 2026, picked up the model almost immediately after launch and argued, contrary to some speculation, that the new GLM generation is not simply a distillation of Western frontier systems, framing it as an independent stride rather than a derivative effort.

In practical terms, GLM-5.3 is positioned as a general-purpose text-to-text model aimed at developers who want open weights and flexible integration, with the catalog listing indicating reasoning, tool calling, temperature control, structured output, and open-weight availability as the headline capabilities. A very large context window and high per-output token ceiling make it attractive for long-context workflows such as codebase analysis, multi-document reasoning, and extended agentic sessions, where the model can hold and manipulate large amounts of information at once. For practitioners, the combination of independent Chinese-lab provenance, open-weight access, and strong reasoning-and-tools support points to GLM-5.3 as a credible alternative for teams that want a self-hostable or gateway-routed frontier-class model rather than a closed API dependency.

LLM Gatewaytogether-ai/glm-5.3glm

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Provider
LLM Gateway
Model key
together-ai/glm-5.3
Release date
Aug 14, 2026
Last updated
Aug 14, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.40
Output token cost
$4.40

Limits

Output tokens
943,717 tokens
Context window
1,048,576 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GLM-5.3 (Together AI)

LLM Gateway

Coverage

Chinese AI startup Z.ai said its GLM-5.3 model scored 84.5% on CyberGym, a benchmark measuring whether a model can review code, identify security flaws, and confirm they are real — slightly higher than the 83.8% Z.ai reported for Anthropic's Mythos 5. However, GLM-5.3 lagged on converting discovered flaws into working Z.ai announced it would release GLM-5.3 publicly approximately two weeks after the August 14 launch following security assessments, with its most sensitive cybersecurity functions reserved for verified users through a "trusted access" programme. Initial access was shared with a select group of launch partners before br

LLM Gateway

Coverage

Z.ai announced its GLM-5.3 model, initially available through its coding plan with API access coming soon and open weights on Hugging Face approximately two weeks later. According to the Interconnects analysis, GLM-5.3 shares the same base model as GLM-5.2 — roughly 750 billion parameters, about a third the size of Moo The analysis frames Z.ai's approach as a post-training strength relative to competitors that excel more at pretraining, noting that scaling post-training compute across more environments, tasks, and reinforcement learning drove the bulk of GLM-5.3's improvements. Nathan Lambert argues the results suggest considerable h

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Coverage

Z.ai announced GLM-5.3 on August 14, 2026, built on the same base architecture as GLM-5.2 with capability gains coming entirely from expanded post-training. The model scored 84.5% on CyberGym (up from 77.2% for GLM-5.2) and 54.4% on ExploitBench, more than double GLM-5.2's 24.4%, though these figures come from Z.ai's o Z.ai's public disclosure ledger credits GLM-5.3 with 2,436 vulnerability findings across 269 open-source projects, including 1,097 rated critical or high severity, with several flaws reportedly found in the Linux kernel and widely used VMware and Apache projects. A Z.ai developer advocate noted the model flagged a poss

LLM Gateway

Coverage

Z.ai released GLM-5.3 with substantial gains in long-horizon coding and cybersecurity capabilities, built on the same 743-billion-parameter-scale base model behind GLM-5.2. According to Z.ai's technical announcement, "Scaling post-training is all we did for GLM-5.3" — the improvements came entirely from scaling post-tr A Z.ai developer advocate posted on X that GLM-5.3 found a "potentially serious vulnerability in Cursor," the AI coding tool recently acquired by SpaceX. Z.ai introduced controls around more advanced capabilities including a "trusted access" approach for sensitive functionality, as cybersecurity capabilities reportedly

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