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$ diff gpt-6-sol glm-5-3-flash

GPT-6 Sol vs GLM-5.3-Flash

Values come from GPT-6 Sol and GLM-5.3-Flash, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Context window
GPT-6 Sol takes 1.1M against 1.0M — modestly more room in a single request.
Input price
GLM-5.3-Flash at $0.15/M against $2/M — 13.3× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
GLM-5.3-Flash at $0.5/M against $10/M — 20.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
GLM-5.3-Flash publishes weights (MIT); GPT-6 Sol is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
GPT-6 Sol shipped 27 days after GLM-5.3-Flash (2026-09-22 vs 2026-08-26).

Full spec

AttributeGPT-6 SolGLM-5.3-Flash
DeveloperOpenAIZ.ai
Released2026-09-222026-08-26
Context window1.05M tokens1,048,576 (1M)
Pricing$2/M input · $10/M output · cached input $0.20/M$0.15/M input · $0.03/M cached input · $0.50/M output
Licenseproprietary (API-only; no weight release)MIT
AvailabilityChatGPT Work and Codex (Plus, Pro, Business, Enterprise, Edu); OpenAI API as `gpt-6-sol`. Not yet in ChatHugging Face (open weights), Z.ai API

How these pages are produced

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