GLM-5.3-Flash vs GLM-5.3
GLM-5.3-Flash is from Zhipu AI, released August 26, 2026. GLM-5.3 is from Zhipu AI, released August 18, 2026.
- LMArena Elo1477 vs 1481. GLM-5.3 is 0.3% ahead on LMArena Elo.
- Input per 1M$0.15 vs $1.40. GLM-5.3-Flash costs 89% less per million input tokens.
- Output per 1M$0.50 vs $4.40. GLM-5.3-Flash costs 89% less per million output tokens.
- Context window1M vs 1M. Both hold 1M tokens of context.
Prices are the vendors’ published API rates; Elo is LMArena’s text board. Each figure is dated on its model page.
Interactive Comparison
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$0.15 / $0.50 per million tokens | $1.40 / $4.40 per million tokens | |
|---|---|---|
| Identity | ||
| Developer | Zhipu AI | Zhipu AI |
| Released | Aug 2026 | Aug 2026 |
| Status | GA | GA |
| Licence | MIT (weights on Hugging Face, zai-org/GLM-5.3-Flash) | GLM-5.3 License (custom: MIT-style terms plus a security-review clause for MaaS providers above $10B revenue); weights on Hugging Face, zai-org/GLM-5.3 |
| Self-hostable | Yes - MIT weights published at launch | Yes - weights published on Hugging Face |
| Cost | ||
| Blended $/1M tokensinput × 0.75 + output × 0.25 | $0.237 / 1M tokens | $2.150 / 1M tokens |
| Input price | $0.150 / 1M tokens | $1.400 / 1M tokens |
| Output price | $0.500 / 1M tokens | $4.400 / 1M tokens |
| Cached input | 0.03 | $0.26 / 1M tokens |
| Batch discount | Not offered; GLM Coding Plan applies a 50% off-peak points reduction | Not offered; GLM Coding Plan applies a 50% off-peak points reduction |
| Free tier | Not offered; included in the GLM Coding Plan at 3x the GLM-5.3 quota | Not offered |
| Capacity | ||
| Context window | 1M tokens | 1M tokens |
| Max output | 128k tokens | 128k tokens |
| Long-context surcharge | Not published | Not published |
| Capability | ||
| Vision in | Yes - text, image, video and file input | No — text-only input |
| Audio in | Not documented | No |
| Function calling | Yes | Yes |
| Structured output | Yes | Yes |
| Extended reasoning | Yes - thinking mode | Yes — always on, three effort levels (low, high, max) |
| Web search | Not documented | Not documented |
| Code execution | Not documented | Not documented |
| Access | ||
| API | Yes | Yes |
| Chat app | Yes | Yes |
| Cloud marketplaces | Not documented | Not offered |
| Fine-tuning | Not offered | Not offered |
| Measured quality | ||
| LMArena Elo | 1477 (checked Nov 2026) | 1481 (checked Nov 2026) |
| LMArena rank | Rank 33 | Rank 28 |
| GPQA Diamond | 90 · max effort | 91 |
| Elo per dollarLMArena Elo ÷ blended $/1M tokens | 6219 | 689 |
