LLM Comparison
GLM-5.3-Flash vs Maple-Preview
Side-by-side specs, pricing & capabilities · Updated September 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 75 463 | 50 |
| Family | GLM | Maple |
| Status | Current | Current |
| Release Date | Aug 2026 | Aug 2026 |
| Context Window | 1.3M tokens | 131K 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 model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime. |
| Capabilities | textvisionvideo-inputcodetool-usereasoninglong-contextopen-weights | textreasoningcodeon-device-inference |
| Training Cutoff | Not disclosed | — |
| Max Output | 131K tokens | 131K tokens |
| API Identifier | z-ai/glm-5.3-flash | deepgrove/maple-preview |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 57artificial-analysis | — |
| MMLU | 88.1official | — |
| LiveCodeBench v6 | — | 75.1DeepGrove model card |
| AIME 2026 | — | 87.5DeepGrove model card |
| HMMT 2026 | — | 78.8DeepGrove model card |
| GPQA Diamond | — | 73.5DeepGrove model card |
| View GLM-5.3-Flash | View Maple-Preview | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Maple-PreviewCheapest | $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.
DeepGrove
Maple-Preview
Maple-Preview is DeepGrove’s open-source 20B-A1B ternary-weight reasoning LLM for efficient on-device inference. The model card reports 20.2B total parameters, 1.49B active parameters, a 131,072-token context window, and 5.31 GB checkpoint size.
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