Model decision surface
Compare AI models
Start with Kimi K2.7 Code and GPT-5.3-Codex, 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
Kimi K2.7 Code vs GPT-5.3-Codex
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Kimi K2.7 Code Moonshot AI | GPT-5.3-Codex OpenAI |
|---|---|---|
| ModelCap position | #26 | #20 |
| Index score | 63.2 | 66.4 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.71 | $1.75 |
| Output / 1M | $3.50 | $14.00 |
| Pricing status | fresh | fresh |
| Context | 262K | 400K |
| Providers | 14 | 2 |
| Weight access | Restricted license | API only |
Decision facts
- Kimi K2.7 Code is #26; GPT-5.3-Codex is #20 on the same current language board.
- Index scores are 63.2 for Kimi K2.7 Code and 66.4 for GPT-5.3-Codex.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $3.50 for Kimi K2.7 Code and $14.00 for GPT-5.3-Codex.
- Published context is 262,144 tokens for Kimi K2.7 Code and 400,000 for GPT-5.3-Codex.
- Weight access differs: Kimi K2.7 Code is restricted; GPT-5.3-Codex is none.
- ModelCap currently lists 14 providers for Kimi K2.7 Code and 2 for GPT-5.3-Codex.
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.