Noometry

Model comparison

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.

Last verified . 0 shared benchmarks.

GPT-5-Codex OpenAI

37.9

Rank #192 Reported

Laguna M.1 Poolside

32.5

Rank #256 Reported

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.

Side by side

GPT-5-CodexLaguna M.1
ProviderOpenAIPoolside
Noometry Index37.932.5
Released2025-09-152026-04-28
WeightsProprietaryOpen
Context window400K262K
Max output128K33K
Input $ / M tokens$1.25—
Output $ / M tokens$10—
Results tracked33

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Category by category

Coding GPT-5-Codex leads

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

BenchmarkGPT-5-CodexLaguna M.1
LMArena WebDev—1349
WeirdML54.5%—

Agentic & Tool Use Not comparable

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

BenchmarkGPT-5-CodexLaguna M.1
Terminal-Bench44.3%—

Reasoning GPT-5-Codex leads

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

BenchmarkGPT-5-CodexLaguna M.1
Kagi LLM Benchmark70.3%—
Surface Evolver Bench—15.6%

Math Not comparable

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

BenchmarkGPT-5-CodexLaguna M.1
ProofBench—0%

Frequently asked questions

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.

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