# GPT-5-Codex vs Laguna M.1

> GPT-5-Codex is the stronger model overall, scoring 37.9 to 32.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-laguna-m-1
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 23.1.
- GPT-5-Codex accepts more context: 400K tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | Laguna M.1 |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 37.9 | 32.5 |
| Rank | 192 | 256 |
| Context | 400K | 262K |
| Input $/M | $1.25 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 42.4 (#103)
- Laguna M.1: 36.6 (#204)

| Benchmark | GPT-5-Codex | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1349 |
| WeirdML | 54.5% | — |

## Agentic & Tool Use

- GPT-5-Codex: 31.0 (#72)
- Laguna M.1: —

| Benchmark | GPT-5-Codex | Laguna M.1 |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.9 (#83)
- Laguna M.1: 23.1 (#184)

| Benchmark | GPT-5-Codex | Laguna M.1 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| Surface Evolver Bench | — | 15.6% |

## Math

- GPT-5-Codex: —
- Laguna M.1: 21.1 (#283)

| Benchmark | GPT-5-Codex | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |

## FAQ

### Is GPT-5-Codex better than Laguna M.1?

GPT-5-Codex is the stronger model overall, scoring 37.9 to 32.5 on the Noometry Index.

### Is GPT-5-Codex or Laguna M.1 better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 36.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-5-Codex does, with 400K tokens against 262K.

### How many benchmarks do GPT-5-Codex and Laguna M.1 share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Laguna M.1 has 3.