GLM-5.3-Flash vs GPT-6 Astra
GLM-5.3-Flash is from Zhipu AI, released August 26, 2026. GPT-6 Astra is from OpenAI, released September 3, 2026.
- LMArena Elo1476 vs 1476. Both rated 1476 on LMArena.
- Input per 1M$0.15 vs $10. GLM-5.3-Flash costs 99% less per million input tokens.
- Output per 1M$0.50 vs $50. GLM-5.3-Flash costs 99% less per million output tokens.
- Context window1M vs 1.05M. GPT-6 Astra takes 5.0% more context in one request.
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 | $10 / $50 per million tokens | |
|---|---|---|
| Identity | ||
| Developer | Zhipu AI | OpenAI |
| Released | Aug 2026 | Sep 2026 |
| Status | GA | GA |
| Licence | MIT (weights on Hugging Face, zai-org/GLM-5.3-Flash) | Proprietary |
| Self-hostable | Yes - MIT weights published at launch | No |
| Cost | ||
| Blended $/1M tokensinput × 0.75 + output × 0.25 | $0.237 / 1M tokens | $20.000 / 1M tokens |
| Input price | $0.150 / 1M tokens | $10.000 / 1M tokens |
| Output price | $0.500 / 1M tokens | $50.000 / 1M tokens |
| Cached input | 0.03 | $1 per 1M tokens |
| Batch discount | Not offered; GLM Coding Plan applies a 50% off-peak points reduction | 50% (Batch and Flex) |
| Free tier | Not offered; included in the GLM Coding Plan at 3x the GLM-5.3 quota | — |
| Capacity | ||
| Context window | 1M tokens | 1,050,000 tokens |
| Max output | 128k tokens | 128k tokens |
| Long-context surcharge | Not published | Yes - prompts over 272K input tokens are priced at 2x input and cache rates and 1.5x output for the full request |
| Capability | ||
| Vision in | Yes - text, image, video and file input | Yes |
| Audio in | Not documented | No |
| Function calling | Yes | — |
| Structured output | Yes | — |
| Extended reasoning | Yes - thinking mode | — |
| Web search | Not documented | — |
| Code execution | Not documented | — |
| Access | ||
| API | Yes | Yes |
| Chat app | Yes | Yes |
| Cloud marketplaces | Not documented | — |
| Fine-tuning | Not offered | — |
| Measured quality | ||
| LMArena Elo | 1476 (checked Oct 2026) | 1476 (checked Oct 2026) |
| LMArena rank | Rank 35 | Rank 32 |
| GPQA Diamond | 90 · max effort | 96 |
| Elo per dollarLMArena Elo ÷ blended $/1M tokens | 6215 | 74 |
