Model comparison
GPT-5.2 Pro vs Laguna M.1
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 21.1.
- GPT-5.2 Pro accepts more context: 400K tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Laguna M.1 | |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 52.3 | 32.5 |
| Released | 2025-12-11 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 33K |
| Input $ / M tokens | $21 | — |
| Output $ / M tokens | $168 | — |
| Results tracked | 8 | 3 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Laguna M.1: 36.6 (#204)
| Benchmark | GPT-5.2 Pro | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1349 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Laguna M.1: 23.1 (#184)
| Benchmark | GPT-5.2 Pro | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 155.4 | — |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Laguna M.1: 21.1 (#283)
| Benchmark | GPT-5.2 Pro | Laguna M.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| ProofBench | — | 0% |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Frequently asked questions
Is GPT-5.2 Pro better than Laguna M.1?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 32.5 on the Noometry Index.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5.2 Pro and Laguna M.1 share?
0 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Laguna M.1 has 3.