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Model details

GLM 5.3 Flash

GLM 5.3 Flash is a large language model from Z.ai that arrived on August 26, 2026, after roughly a week circulating as the anonymous "Ox Alpha" build that quietly topped usage charts on OpenRouter and OpenCode. The GMI Cloud blog covering the reveal describes it as a 320-billion-parameter model aimed at frontier coding work, framing the launch as a deliberate community-first rollout where the model earned attention through benchmark performance before Z.ai publicly identified itself as the creator. The NVIDIA Developer Forums thread dated the same day echoes that release moment by announcing "GLM-5.3-Flash weights released (Ox Alpha)," signalling that the model was positioned for hands-on experimentation by developers rather than only a closed API reveal.

Practically, the model is pitched as a coding-oriented alternative for teams that want strong reasoning and code-generation quality at a price point suited to scale, with the third-party coverage emphasising its leaderboard performance during the stealth period as evidence of competitive capability. Because the supplied sources do not include an official Z.ai model card or technical report, deeper specifics such as architecture (dense versus mixture-of-experts), exact benchmark scores, and training-data composition cannot be quoted here. What can be said is that GLM 5.3 Flash is intended for developers building coding assistants, agents, and other programmatic workflows that benefit from a model with demonstrated real-world traction among practitioners, and that Z.ai chose an unusual release strategy of letting the model prove itself in the open before attaching its brand.

Vercel AI Gatewayzai/glm-5.3-flashglm-flash

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Vercel AI Gateway
Model key
zai/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
131,000 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

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Official sourceAnnouncement

Z.ai officially introduced GLM-5.3-Flash on August 26, 2026, calling it the first natively multimodal model in the GLM-5 series. The model uses a 320B total / 18B active mixture-of-experts design and is built from a newly trained base rather than a post-trained trim of the GLM-5.2 checkpoint. It combines sparse and lin On the Artificial Analysis Intelligence Index v4.1.1, GLM-5.3-Flash scores 57 at roughly $0.045 per task (discounted), pushing the Pareto frontier of intelligence-per-dollar. Across coding and agentic benchmarks it consistently beats GLM-5.2 (DeepSWE v1.1 63.4 vs 46.2; AutomationBench 48.8 vs 26.2) and approaches Claud

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CoverageBenchmark

Yotta Labs' comparison frames GLM 5.3 (August 14, 2026, API-only flagship) against GLM 5.3 Flash (August 26, 2026, MIT-licensed open weights), highlighting that Flash spent a week running in stealth as "Ox Alpha" before Z.ai claimed it. Flash uses a 320B total / 18B active MoE base with native text, image, and video in The piece warns that the two launch tables use different benchmark versions: the flagship reports Terminal-Bench 3.0 (28.3, a six-fold jump over GLM 5.2's 4.6), while Flash reports Terminal-Bench 2.1 (84.3 vs Claude Opus 4.8's 85.0). The one shared test, DeepSWE v1.1, shows Flash at 63.4, GLM 5.2 at 46.2, and the GLM 5

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CoverageBenchmark

DataCamp's overview confirms GLM-5.3-Flash as Z.ai's cost-optimized sibling to the GLM-5.3 flagship, released after running anonymously as "Ox Alpha." It uses a 320B-A18B mixture-of-experts design with a 1M token context window and is natively multimodal. The model scores 84.3 on Terminal-Bench 2.1, within striking dis The piece highlights the price-performance trade-off: blended pricing sits at roughly $0.10 per million tokens, about a tenth of GLM-5.3's $0.90, but output throughput is around 49 tokens/sec and the FP8 checkpoint weighs 306 GiB, ruling out lightweight local hosting. Qwen3.8-Flash-Next launched on the same day, intens

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CoverageAnalysis

Local AI Zone's technical deep dive describes GLM-5.3-Flash as a 320B-parameter MoE activating only 18B per token, running natively in FP8 with a 1,048,576-token context window and shipped under MIT license on Hugging Face. It is the first natively multimodal model in the GLM-5 series and was trained from a new base, n The piece reports that GLM-5.3-Flash beats GLM-5.2 across six coding and agentic benchmarks at roughly one-tenth the price and approaches Claude Opus 4.8 on long-horizon agent tasks. It notes that before launch, "Ox Alpha" ran anonymously on OpenRouter for about a week, topping usage charts with near-unlimited free acc

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