GLM 5.3 Flash
A large-scale language model released by Zhipu AI with approximately 320 billion parameters. It features native visual support capabilities and belongs to the flagship tier of the GLM model series.
Core Facts
The Flash version of the GLM series is positioned as a lightweight model with low latency and low cost.
Zhipu AI officially confirmed that the mysterious codename Ox Alpha model is GLM 5.3 Flash.
On the Artificial Analysis Cyber Index, Mistral Large 4 scored 50, tying for first place with GLM 5.3 Flash.
Timeline (last 90 days)
The summarization step itself has additional overhead: one call to GLM 5.3 Flash costs about $0.00002, and it only needs to be paid when the history exceeds the configured limit, not for every message.
In the moral dilemma test, GLM 5.3 Flash refused the instruction to throw disobedient crew members out of the airlock, but after the setting was changed to an all-robot crew it reassessed and accepted.
In the FlappyBit Extreme game generation task, the model thought for about 91000 tokens, inference speed dropped to 15 tok/s, and it finally completed the output at 105000 tokens after about 2 hours.
In the test, model loading took only a few seconds, GPU usage dropped from 23GB to about 17GB, the first test prompt processing took 225ms, generation speed was stable at 33.5 tok/s, with a total output of 1500 tokens.
The llama.cpp framework has not yet implemented the Vision Tower feature, so GLM 5.3 Flash's multimodal capabilities cannot be enabled locally.
This test used the Dynamic quantized version released by Unsloth, with a file size of about 93GB.
GLM 5.3 Flash is a model developed by Zai, previously appeared on OpenRouter under the name Oakies EFLA, and has processed trillions of tokens on domestic chips.
A Bilibili uploader used llama.cpp to load the 1-bit quantized version of GLM 5.3 Flash on 4 RTX 3090s, achieving a generation speed of 33.5 tok/s.
Theo said on a livestream himself that buying Fable-level intelligence at the price of GLM 5.3 Flash 'will absolutely happen'.
GLM 5.3 Flash's input price is only $0.15 per million tokens and output is $0.50, making it approximately one-twentieth to one-thirtieth the price of GPT-5.
40 more timeline events
All Facts (20)
The Flash version of the GLM series is positioned as a lightweight model with low latency and low cost.
75%VerifiedZhipu AI officially confirmed that the mysterious codename Ox Alpha model is GLM 5.3 Flash.
75%VerifiedOn the Artificial Analysis Cyber Index, Mistral Large 4 scored 50, tying for first place with GLM 5.3 Flash.
65%Partially VerifiedGLM 5.3 Flash's input price is only $0.15 per million tokens and output is $0.50, making it approximately one-twentieth to one-thirtieth the price of GPT-5.
65%UnverifiedGPT-6 Astra tends to generate better, more usable versions on the first attempt, with a high first-pass success rate and fast speed; DeepSeek V4.1 Flash improves quality through continuous self-checking and iteration but takes longer
60%UnverifiedRunning GLM 5.3 Flash requires a Mac Studio M5 Ultra with 256 GB of memory, a configuration costing approximately $10,000.
60%UnverifiedThe summarization step itself has additional overhead: one call to GLM 5.3 Flash costs about $0.00002, and it only needs to be paid when the history exceeds the configured limit, not for every message.
50%UnverifiedGLM 5.3 Flash is a model developed by Zai, previously appeared on OpenRouter under the name Oakies EFLA, and has processed trillions of tokens on domestic chips.
50%UnverifiedThis test used the Dynamic quantized version released by Unsloth, with a file size of about 93GB.
50%UnverifiedThe llama.cpp framework has not yet implemented the Vision Tower feature, so GLM 5.3 Flash's multimodal capabilities cannot be enabled locally.
50%UnverifiedThe author considers GLM 5.3 Flash to be a better model than GPT-5 in its own right, with stronger visual processing and better tool calling, particularly crushing GPT-5 in performance during hours-long agentic workflows.
50%UnverifiedThe open-source model GLM 5.3 Flash launched by Zhipu topped the Cyber Index leaderboard on Artificial Analysis.
50%UnverifiedGLM 5.3 Flash surpassed Anthropic's Claude series models on the Cyber Index leaderboard.
50%UnverifiedGLM 5.3 Flash is overall slower, with Q2 quantization generating approximately 12 tokens/s (approximately 10 at 64K).
50%UnverifiedGLM 5.3 Flash has approximately 320 billion parameters with 18 billion activated per token, is denser than DeepSeek, and its speed is more suitable for long-running tasks than interactive use.
50%UnverifiedThe company claims that GLM 5.3 Flash delivers outstanding performance on three categories of benchmarks: agentic coding, document analysis, and tool calling.
50%UnverifiedGLM 5.3 Flash's training capability is open to all users.
50%UnverifiedGLM 5.3 Flash provides training support for both vision and text modalities.
50%UnverifiedWhen calling GLM 5.3 Flash via OpenRouter, FP4 quantization should be avoided, as FP8 offers the best balance of speed and cost.
50%UnverifiedGLM 5.3 Flash topped the leaderboard, primarily because it excels as a conversational partner, though its drawbacks include occasional context leakage and a tendency to break down when usage exceeds 20%.
50%