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Model details

GLM-5.3-Flash

GLM-5.3-Flash is the Flash-tier efficiency release from Z.ai's GLM-5 series, built as an open-weight mixture-of-experts model with 320 billion total parameters and 18 billion active per token. That wide ratio is the central architectural choice: the model carries frontier-scale capacity while keeping per-request compute in the Flash class, making it practical for high-throughput coding agents and long-context serving. It is shipped under an MIT license, which positions it for teams that want to self-host or fine-tune without restrictive terms.

For practical fit, GLM-5.3-Flash targets agentic coding workloads, where Z.ai reports it improves over GLM-5.2 on coding and agent benchmarks at roughly a tenth of the prior price. Independent third-party coverage places it ahead of contemporaneous Flash-class peers like Qwen3.8-Flash-Next on the coding and tool-use benchmarks both labs published, and highlights its very large context window as a differentiator for agent loops that need to hold long tool traces. The combination of MoE efficiency, a permissive license, and benchmark-leading coding scores makes it well suited for production agent pipelines that value both cost control and instruction-following reliability.

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Provider
GreenPT
Model key
glm-5.3-flash
Release date
Aug 26, 2026
Last updated
Aug 26, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.127754
Output token cost
$0.511016

Limits

Output tokens
131,072 tokens
Context window
1,000,000 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-Flash

GreenPT

CoverageBenchmark

Z.ai's GLM-5.3-Flash was publicly revealed on August 26, 2026, confirmed by Bloomberg, as the anonymous "Ox Alpha" model that had topped OpenRouter and OpenCode usage charts for roughly a week with a 1M-token context window and text/image/video inputs. The model is a 320B-parameter mixture-of-experts with 18B active pe Weights landed on Hugging Face under an MIT license the same evening the identity was confirmed, and Zhipu's Hong Kong shares closed more than 12% higher the next day at roughly 10x January's IPO price. Stripe CEO Patrick Collison had called the still-anonymous model "very impressive" the day before the reveal, with St

GreenPT

CoverageBenchmark

Z.ai released GLM 5.3 Flash on August 26, 2026, under an MIT license on Hugging Face from day one, as a 320-billion-parameter mixture-of-experts activating 18B parameters per token. It is the first natively multimodal model in the GLM-5 series, built on a newly trained base rather than as a post-train of GLM-5.2, and s GLM 5.3 Flash was publicly confirmed as the identity of the anonymous "Ox Alpha" model that had been serving traffic on OpenRouter and drawing attention for its 1M-token context. Notably, GLM 5.3's own 744B weights remain unreleased — Z.ai's Hugging Face organisation has no GLM 5.3 repository — so Flash is the open-wei

GreenPT

Coverage

Z.ai released GLM-5.3-Flash on August 26, 2026, as the newest member of the GLM-5 family, designed to deliver frontier-level capability without frontier-level inference cost. The model has 320 billion total parameters with about 18 billion active per token, supports multimodal inputs, offers a context window of up to 1 The Medium article frames the release as part of a broader shift in the AI model race where competition is about intelligence per unit of compute rather than raw parameter count. The piece reinforces that GLM-5.3-Flash is an open-weight release available to developers on launch day, with specs identical to those report

GreenPT

CoverageBenchmark

The ampere.sh comparison documents GLM 5.3 vs GLM 5.3 Flash specs explicitly: both developed by Z.ai, both released in August 2026 with a 1M-token context window, but GLM 5.3 is 753B total / 40B active while GLM 5.3 Flash is 320B / 18B active. Flash is natively multimodal and has public weights available, whereas GLM 5 The comparison also surfaces a counterintuitive finding: GLM 5.3 Flash is not actually faster at token generation despite the name, with Artificial Analysis measuring GLM 5.3 at roughly 85 tokens per second and Flash at about 49 tokens per second; Flash's time to first token is marginally faster at 1.46s vs 1.57s. Flas

GreenPT

CoverageAnalysis

Z.ai shipped GLM-5.3-Flash on August 26, 2026, as a 320B-parameter mixture-of-experts activating 18B per token, running natively in FP8 with a 1,048,576-token context window, and as the first natively multimodal model in the GLM-5 series. According to the Z.ai model card, it "starts from a newly trained base model, wit Weights ship under MIT on Hugging Face, the API is $0.15/$0.50 per million tokens, and the model beats GLM-5.2 across six coding and agentic benchmarks at roughly one-tenth of the price while approaching Claude Opus 4.8 on long-horizon agent tasks. For about a week before launch, the model was the anonymous "Ox Alpha"

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