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GLM-5.3-Flash

GLM-5.3-Flash is Z.ai's first natively multimodal release in the GLM-5 line, shipped on 26 August 2026 as a mixture-of-experts model positioned for efficiency rather than as a scaled-down sibling. According to DataCamp's coverage, it carries 320 billion total parameters with 18 billion active per pass, and it is built as a Flash-class cost play aimed at coding agents and long-context serving. It accepts text and image inputs and produces text output, and it supports a one-million-token context window natively rather than relying on YaRN-style extensions, which makes it well suited to workloads that need to reason over very large documents, multi-file codebases, or extended agent traces without context-extension hacks.

In third-party benchmarking reported by DataCamp, GLM-5.3-Flash outperformed the contemporaneous Qwen3.8-Flash-Next on the coding and tool-use evaluations that both labs published, and it is presented as the model to pick when a live hosted API matters more than self-hosting flexibility. Through Synthetic, the model is offered alongside other open-source entries such as Kimi K3, Qwen3.8 27B, and GLM 4.7 Flash, with an OpenAI-compatible endpoint, private datacenter hosting, and a policy of not training on user data or storing prompts. That combination of strong agent-oriented benchmarks, a very large native context window, and a managed inference option makes GLM-5.3-Flash a practical choice for teams building production coding assistants or tool-using agents that need long memory and predictable throughput without operating their own GPU fleet.

Synthetichf:zai-org/GLM-5.3-Flashglm-flash

Quick Info

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Provider
Synthetic
Model key
hf:zai-org/GLM-5.3-Flash
Release date
Aug 26, 2026
Last updated
Aug 26, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.15
Output token cost
$0.50

Limits

Output tokens
65,536 tokens
Context window
524,288 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

Synthetic

CoverageBenchmark

Z.ai released GLM-5.3-Flash on August 26, 2026, shipping MIT-licensed weights to Hugging Face on day one, according to a third-party analysis quoting Z.ai's official announcement. The model is a 320-billion-parameter mixture-of-experts architecture that activates only 18 billion parameters per token, built on a newly t The article reveals that GLM-5.3-Flash is the same model previously previewed anonymously as Ox Alpha on OpenRouter, a listing that drew attention for its 1M context before Z.ai publicly claimed it. Pricing is set at $0.15 per million input tokens and $0.50 per million output tokens, dramatically undercutting GLM-5.3's

Synthetic

CoverageBenchmark

An anonymous listing called Ox Alpha appeared on OpenRouter on August 20, 2026, offering free inference with a 1M-token context and multimodal input. Within six days it became the most-used model on the platform, processing roughly 23 trillion tokens, the biggest launch in OpenRouter's history at about 2.3 times the vo GLM-5.3-Flash is a 320B-parameter MoE with 18B active per token and is the first natively multimodal model in the GLM-5 series. Weights were released on Hugging Face under the MIT license the same evening the identity was revealed, and Zhipu's Hong Kong shares closed more than 12% higher the next day. Stripe announced

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Coverage

An alternatives and migration guide helps developers replace or complement GLM-5.3-Flash with substitutes chosen by specific failure modes: DeepSeek V4 Flash for flexible text workloads with cache-hit pricing and a 2,500-request concurrency limit, Qwen3.8-Flash for image and video input at $0.15/$0.47 per 1M tokens, GL Z.ai's official announcement confirmed the anonymous Ox Alpha preview as GLM-5.3-Flash on August 26, 2026, and the public release added a named checkpoint, published pricing, an MIT-licensed Hugging Face model, and documented API access. Developers using configurations that still reference stealth/ox-alpha need to migr

Synthetic

Coverage

Z.ai released GLM-5.3-Flash on August 26, 2026 as an open-weight model under the MIT license, combining 320 billion total parameters with only 18 billion active parameters per token in a mixture-of-experts architecture. It is the first natively multimodal member of the GLM-5 family, supporting text, image, and video un Before its official reveal, GLM-5.3-Flash was previewed anonymously as Ox Alpha on platforms including OpenRouter and OpenCode, allowing Z.ai to collect real-world feedback ahead of launch. The article frames the release as part of a broader shift in AI competition toward maximizing intelligence per unit of compute rat

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CoverageBenchmark

Z.ai's GLM-5.3-Flash benchmarks have been compiled in a comparative analysis against Gemini 3.7 Flash, DeepSeek-V4-Vision-Exp, Claude Opus 4.8, and GPT-5.6. The model leads the comparison set on Z.ai-reported metrics for Toolathlon Verified (78.4), GDPval-AA v2 (Elo 1773), OfficeQA Pro (62.4), and Chartography with Too The largest generation-over-generation improvements appear in coding and automation. DeepSWE v1.1 rises to 63.4 from 46.2 for GLM-5.2, a 17.2-point jump reflecting software-engineering tasks with repository context rather than isolated code completion. AutomationBench v1.0.6 rises from 26.2 to 48.8, a 22.6-point increa

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CoverageBenchmark

A third-party comparison places GLM-5.3-Flash alongside its flagship sibling GLM-5.3, both developed by Z.ai and released in August 2026. GLM-5.3-Flash is a 320B-total-parameter MoE with 18B active parameters, a 1M-token context window, native image input, and native multimodality, making it the more efficient and chea The comparison highlights GLM-5.3-Flash's strengths in image understanding, visual coding, browser agents, and computer-use agents, while GLM-5.3 retains the lead in complex coding, long-horizon engineering, terminal coding, output speed (85 vs 49 tok/s), and time-to-first-token. GLM-5.3-Flash is currently available wi

Synthetic

Coverage

Z.ai's official GLM-5.3-Flash announcement, mirrored on alphaXiv, introduces the first natively multimodal model in the GLM-5 series: a 320B-total / 18B-active parameter MoE combining linear and sparse attention in a hybrid architecture with Manifold-Constrained Hyper-Connections (mHC), trained on a 30T-token multimoda Standard API pricing is $0.15 per 1M input tokens, $0.50 per 1M output tokens, and $0.03 per 1M cached input tokens, with weights released under the MIT License on Hugging Face and availability across Z.ai's official platforms (chat, code, API, coding plan). The previously anonymous Ox Alpha preview running on OpenRout

Synthetic

Coverage

Felo AI's product page presents GLM-5.3-Flash as Z.ai's open-weights frontier model released August 26, 2026 under the MIT license, listing 320B total parameters with 18B active, a 1,310,720-token context window, and native text, image, and video input. It reports an Artificial Analysis Intelligence Index score of 57 ( The page describes GLM-5.3-Flash's architecture as a hybrid sparse + linear attention design — the first open frontier model to combine both — using an IndexPool that keeps the index cache at a quarter of the size and Manifold-Constrained Hyper-Connections (mHC), yielding roughly 3× less attention compute and a 4.4× sm

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