Model decision surface
Compare AI models
Start with GPT-5.3-Codex and Qwen3.8 Max, 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 Qwen3.8 Max
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | GPT-5.3-Codex OpenAI | Qwen3.8 Max Qwen |
|---|---|---|
| ModelCap position | #20 | #5 |
| Index score | 66.4 | 80.5 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $1.75 | $2.00 |
| Output / 1M | $14.00 | $6.00 |
| Pricing status | fresh | fresh |
| Context | 400K | 1M |
| Providers | 2 | 1 |
| Weight access | API only | API only |
Decision facts
- GPT-5.3-Codex is #20; Qwen3.8 Max is #5 on the same current language board.
- Index scores are 66.4 for GPT-5.3-Codex and 80.5 for Qwen3.8 Max.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $14.00 for GPT-5.3-Codex and $6.00 for Qwen3.8 Max.
- Published context is 400,000 tokens for GPT-5.3-Codex and 1,000,000 for Qwen3.8 Max.
- ModelCap currently lists 2 providers for GPT-5.3-Codex and 1 for Qwen3.8 Max.
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.