LLM Comparison
GLM-5.3-Flash vs GPT-6 Luna
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 72 444 | |
| Family | GLM | GPT-6 |
| Status | Current | Current |
| Release Date | Aug 2026 | Sep 2026 |
| Context Window | 1.3M tokens | 1.1M tokens |
| Input Price | $0.07/M tokens | $0.10/M tokens |
| Output Price | $0.25/M tokens | $0.50/M tokens |
| 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. | OpenAI standard API, USD per million tokens for prompts up to 272K input tokens: $0.10 input, $0.01 cached input, $0.125 cache writes, $0.50 output. Above 272K input tokens, the full request costs 2x input/cache and 1.5x output. Batch/Flex cost 50% of Standard; Fast costs 2x; regional processing adds 10% where available. Reasoning output tokens are charged at output rates. |
| Capabilities | textvisionvideo-inputcodetool-usereasoninglong-contextopen-weights | textvisionreasoningcodingtool-uselong-contextcontext-caching |
| Training Cutoff | Not disclosed | 2026-05-18 |
| Max Output | 131K tokens | 128K tokens |
| API Identifier | z-ai/glm-5.3-flash | gpt-6-luna |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 57artificial-analysis | — |
| MMLU | 88.1official | — |
| Artificial Analysis Intelligence Index v4.3 | 41.9074artificial-analysis | — |
| GPQA Diamond | 91.2121artificial-analysis | — |
| SciCode | 51.6204artificial-analysis | — |
| Terminal-Bench 2.1 | 84.2697artificial-analysis | — |
| Artificial Analysis Intelligence Index v4.3.2 | — | 37.2559686869738artificial-analysis |
| View GLM-5.3-Flash | View GPT-6 Luna | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| GLM-5.3-FlashCheapest | $0.08 | $0.13 | $0.20 | — |
| GPT-6 Luna | $0.10 | $0.25 | $0.35 | +75% |
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.
OpenAI
GPT-6 Luna
GPT-6 Luna is OpenAI's efficient reasoning model for focused, high-volume tasks. It accepts text and images, produces text, supports a 1,050,000-token context window and 128,000 output tokens, and is available through the Responses and Chat Completions APIs under the exact gpt-6-luna identifier.
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