How does GLM 5.3 rank among AI models?
GLM 5.3 holds ModelCap Index position #11 of 280 ranked language models as of 2 October 2026, with an Index score of 80.0 (interval 74.0–86.0); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does GLM 5.3 cost per 1M tokens?
GLM 5.3 is listed at $1.40 per 1M input tokens and $4.40 per 1M output tokens as of 2 October 2026; the lowest output price among 32 providers is $0.488 on Baidu. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $5.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of GLM 5.3?
GLM 5.3 has a published context window of 1M tokens (1,048,576). The snapshot lists a 131,072 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Is GLM 5.3 open-weight?
Restricted license (glm-5.3). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is zai-org/GLM-5.3 on Hugging Face.
Which API providers serve GLM 5.3?
32 providers serve GLM 5.3 through OpenRouter as of 2 October 2026: Relace, Morph, Baidu, Reka, Sail Research and Wafer and 26 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has GLM 5.3 been evaluated on?
GLM 5.3 has published results on 7 public boards tracked by ModelCap as of 2 October 2026: Arena text 1479 (#26 of 410), Arena coding 1521 (#32 of 405), LMArena Agent 2.6% (#21 of 46), AA Intelligence Index 44.8 (#36 of 195) and AA Terminal-Bench 2.1 83.9% (#34 of 240) and more. Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
How does GLM 5.3 compare with Gemini 3.1 Pro Preview?
GLM 5.3 ranks #11 (Index 80.0) and Gemini 3.1 Pro Preview ranks #12 (Index 79.2) on the ModelCap Index as of 2 October 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.