Model decision surface
Compare AI models
Start with GPT-5.1-Codex-Mini and Laguna S 2.1, 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-5.1-Codex-Mini vs Laguna S 2.1
Live dataset updated 9/3/2026, 3:17:25 AM UTC
Open 1200×630 evidence receipt| Field | GPT-5.1-Codex-Mini OpenAI | Laguna S 2.1 Poolside |
|---|---|---|
| ModelCap position | #69 | #68 |
| Index score | 40.2 | 40.3 |
| Evidence | Measured1 public benchmark observation across 1 board | Estimatedplaced against measured peers on publisher-reported benchmarks, discounted for self-report optimism |
| Input / 1M | $0.25 | $0.09 |
| Output / 1M | $2.00 | $0.18 |
| Pricing status | fresh | fresh |
| Context | 400K | 1M |
| Providers | 1 | 1 |
| Weight access | API only | Restricted license |
Decision facts
- GPT-5.1-Codex-Mini is #69; Laguna S 2.1 is #68 on the same current language board.
- Index scores are 40.2 for GPT-5.1-Codex-Mini and 40.3 for Laguna S 2.1.
- Evidence differs: GPT-5.1-Codex-Mini is Measured; Laguna S 2.1 is Estimated.
- Listed output price per 1M tokens is $2.00 for GPT-5.1-Codex-Mini and $0.18 for Laguna S 2.1.
- Published context is 400,000 tokens for GPT-5.1-Codex-Mini and 1,048,576 for Laguna S 2.1.
- Weight access differs: GPT-5.1-Codex-Mini is none; Laguna S 2.1 is restricted.
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.