Model comparison
GPT-5.1-Codex vs Laguna M.1
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 32.5 on the Noometry Index.
Last verified . 2 shared benchmarks.
PoolsideSummary
- They share 2 benchmarks with published results for both. GPT-5.1-Codex scores higher in 2 categories and Laguna M.1 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.1-Codex leads 30.3 to 21.1.
- The biggest single-benchmark swing is ProofBench: 9% for GPT-5.1-Codex and 0% for Laguna M.1.
- GPT-5.1-Codex accepts more context: 400K tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Laguna M.1 | |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 38.6 | 32.5 |
| Released | 2025-11-12 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 33K |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 6 | 3 |
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Category by category
Coding GPT-5.1-Codex leads
GPT-5.1-Codex: 41.9 (#116), Laguna M.1: 36.6 (#204)
| Benchmark | GPT-5.1-Codex | Laguna M.1 |
|---|---|---|
| LMArena WebDev | 1337 | 1349 |
| SWE-bench Verified (bash only) | 66% | — |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 38.0 (#33), Laguna M.1: —
| Benchmark | GPT-5.1-Codex | Laguna M.1 |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Laguna M.1: 23.1 (#184)
| Benchmark | GPT-5.1-Codex | Laguna M.1 |
|---|---|---|
| Surface Evolver Bench | — | 15.6% |
Math GPT-5.1-Codex leads
GPT-5.1-Codex: 30.3 (#235), Laguna M.1: 21.1 (#283)
| Benchmark | GPT-5.1-Codex | Laguna M.1 |
|---|---|---|
| ProofBench | 9% | 0% |
Frequently asked questions
Is GPT-5.1-Codex better than Laguna M.1?
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 32.5 on the Noometry Index.
Is GPT-5.1-Codex or Laguna M.1 better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.9 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5.1-Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5.1-Codex and Laguna M.1 share?
2 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Laguna M.1 has 3.