LLM Comparison
GLM-5.3-Flash vs MiniMind
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 75 463 | |
| Family | GLM | MiniMind |
| Status | Current | Current |
| Release Date | Aug 2026 | Sep 2026 |
| Context Window | 1.3M tokens | 1K tokens |
| Input Price | $0.07/M tokens | Free |
| Output Price | $0.25/M tokens | Free |
| Pricing Notes | OpenRouter lists a limited-time discounted price of $0.075/M input and $0.25/M output. Standard first-party style pricing is commonly $0.15/M input and $0.50/M output; cache-read pricing may vary by provider. | Open-source project; API pricing is not applicable unless a downstream host adds serving costs. |
| Capabilities | textvisionvideo-inputcodetool-usereasoninglong-contextopen-weights | texteducationtraining |
| Training Cutoff | Not disclosed | Not specified |
| Max Output | 131K tokens | 1K tokens |
| API Identifier | z-ai/glm-5.3-flash | jingyaogong/minimind |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 57artificial-analysis | — |
| MMLU | 88.1official | — |
| View GLM-5.3-Flash | View MiniMind | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMindCheapest | $0.00 | $0.00 | $0.00 | — |
| GLM-5.3-Flash | $0.08 | $0.13 | $0.20 | +0% |
Z.ai
GLM-5.3-Flash
GLM-5.3-Flash is Z.ai’s open-weight GLM-5 model for efficient coding, long-horizon agent tasks, and long-context multimodal reasoning. It uses a hybrid sparse and linear attention design with 320B total parameters and 18B active parameters.
Jingyao Gong
MiniMind
MiniMind is a small open-source language-model training project that demonstrates how to train a 64M-parameter LLM from scratch. The repository is aimed at builders who want a compact, inspectable model-training path rather than a hosted frontier API.
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