Model decision surface
Compare AI models
Start with GPT-5.3-Codex and GLM 5V Turbo, 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
GPT-5.3-Codex vs GLM 5V Turbo
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | GPT-5.3-Codex OpenAI | GLM 5V Turbo Z.ai |
|---|---|---|
| ModelCap position | #20 | #29 |
| Index score | 66.4 | 60.2 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $1.75 | $1.20 |
| Output / 1M | $14.00 | $4.00 |
| Pricing status | fresh | fresh |
| Context | 400K | 203K |
| Providers | 2 | 1 |
| Weight access | API only | API only |
Decision facts
- GPT-5.3-Codex is #20; GLM 5V Turbo is #29 on the same current language board.
- Index scores are 66.4 for GPT-5.3-Codex and 60.2 for GLM 5V Turbo.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $14.00 for GPT-5.3-Codex and $4.00 for GLM 5V Turbo.
- Published context is 400,000 tokens for GPT-5.3-Codex and 202,752 for GLM 5V Turbo.
- ModelCap currently lists 2 providers for GPT-5.3-Codex and 1 for GLM 5V Turbo.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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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.