ACB
62.2 score
GLM-5.3 ranks #12 on the AskClash LLM leaderboard with an overall score of 63.4. It scores 41.9 on Terminal-Bench. Compare GLM-5.3 vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.
AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.
Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.
62.2 score
8.5 score
62.5 score
91.7 score
41.9 score
69.0 score
1769.0 score
55.8 score
Use these comparison links to evaluate GLM-5.3 against nearby LLMs by benchmark score, price, context window, and provider.
Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

Together AI has released Together Link, a free, MIT-licensed CLI that connects Claude Code, Codex, OpenCode, Pi, and the Claude and ChatGPT desktop apps to open models like Kimi K3 and GLM 5.3. One install command sets it up, and an Auto router picks a model f

According to CrowdStrike, a suspected Chinese-speaking attacker hacked multiple South Korean financial institutions. At Shinhan Bank alone, more than 25,000 customer records were stolen. The attacker used ARTEX, an open-source tool that uses AI models like Dee

Cantina Security, with Yeta Labs, has released apex-flash-1, an open-weights model trained specifically for vulnerability research. It is a reinforcement learning fine-tune of Z.ai’s GLM-5.3-Flash, released on Hugging Face under the MIT license. Is it deployab
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