Model decision surface
Compare AI models
Start with GLM 5.3 and GLM 5.3 Flash, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
GLM 5.3 vs GLM 5.3 Flash
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | GLM 5.3 Z.ai | GLM 5.3 Flash Z.ai |
|---|---|---|
| ModelCap position | #8 | #11 |
| Index score | 82.1 | 78.7 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $1.40 | $0.075 |
| Output / 1M | $4.40 | $0.25 |
| Pricing status | fresh | fresh |
| Context | 1.3M | 1.3M |
| Providers | 27 | 26 |
| Weight access | Restricted license | Open weights |
Decision facts
- GLM 5.3 is #8; GLM 5.3 Flash is #11 on the same current language board.
- Index scores are 82.1 for GLM 5.3 and 78.7 for GLM 5.3 Flash. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $4.40 for GLM 5.3 and $0.25 for GLM 5.3 Flash. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $5.00 for GLM 5.3 versus $0.28 for GLM 5.3 Flash. GLM 5.3 Flash costs 94.5% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,310,720 tokens for GLM 5.3 and 1,310,720 for GLM 5.3 Flash.
- Weight access differs: GLM 5.3 is restricted; GLM 5.3 Flash is open.
- ModelCap currently lists 27 providers for GLM 5.3 and 26 for GLM 5.3 Flash.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
Popular comparisons
- Muse Spark 1.3 vs GPT-6 Astra#2 vs #1 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6 Astra#3 vs #1 on the ModelCap Index
- Claude Fable 5.1 vs Muse Spark 1.3#3 vs #2 on the ModelCap Index
- Claude Opus 5 vs GPT-6 Astra#4 vs #1 on the ModelCap Index
- Claude Opus 5 vs Muse Spark 1.3#4 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Claude Opus 5#3 vs #4 on the ModelCap Index
- GPT-5.6 Sol vs GPT-6 Astra#5 vs #1 on the ModelCap Index
- Muse Spark 1.3 vs GPT-5.6 Sol#2 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs GPT-5.6 Sol#3 vs #5 on the ModelCap Index
- Claude Opus 5 vs GPT-5.6 Sol#4 vs #5 on the ModelCap Index
- Kimi K3 vs GPT-6 Astra#6 vs #1 on the ModelCap Index
- Muse Spark 1.3 vs Kimi K3#2 vs #6 on the ModelCap Index
- Claude Fable 5.1 vs Kimi K3#3 vs #6 on the ModelCap Index
- Claude Opus 5 vs Kimi K3#4 vs #6 on the ModelCap Index
- Kimi K3 vs GPT-5.6 Sol#6 vs #5 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-6 Astra#7 vs #1 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Spark 1.3#7 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 3.8 Flash#3 vs #7 on the ModelCap Index
- Claude Opus 5 vs Gemini 3.8 Flash#4 vs #7 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-5.6 Sol#7 vs #5 on the ModelCap Index
- Gemini 3.8 Flash vs Kimi K3#7 vs #6 on the ModelCap Index
- GPT-6 Astra vs GLM 5.3#1 vs #8 on the ModelCap Index
- Muse Spark 1.3 vs GLM 5.3#2 vs #8 on the ModelCap Index
- Claude Fable 5.1 vs GLM 5.3#3 vs #8 on the ModelCap Index
Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.