# GPT-5.2 vs Olmo 3.1 32b Think

> GPT-5.2 is the stronger model overall, scoring 54.1 to 37.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-2-vs-olmo-3-1-32b-think
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. GPT-5.2 scores higher in 8 categories and Olmo 3.1 32b Think in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 leads 59.8 to 33.6.
- Olmo 3.1 32b Think has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 54.1 | 37.3 |
| Rank | 31 | 191 |
| Context | 400K | — |
| Input $/M | $1.75 | — |
| Output $/M | $14 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.2: 52.2 (#32)
- Olmo 3.1 32b Think: 37.1 (#186)

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1447 | 1292 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1415 | — |
| SWE-bench Multilingual | 66.7% | — |
| GSO | 27.4% | — |
| WeirdML | 72.2% | — |
| ALE-Bench | 1,294 | — |
| AlgoTune | 2.05 | — |

## Agentic & Tool Use

- GPT-5.2: 40.0 (#24)
- Olmo 3.1 32b Think: —

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| Terminal-Bench | 64.9% | — |
| Berkeley Function Calling Leaderboard | 55.9% | — |
| GDPval | 49.7% | — |
| Remote Labor Index | 2.5% | — |
| τ²-bench Airline | 83% | — |
| τ²-bench Banking | 32.2% | — |
| τ²-bench Retail | 81.6% | — |
| τ²-bench Telecom | 89.7% | — |
| DeepResearch Bench | 41.1% | — |
| LMArena Search | 1207 | — |
| METR Time Horizons | 75.3% | — |
| Vending-Bench 2 | 3,591 | — |

## Reasoning

- GPT-5.2: 50.1 (#33)
- Olmo 3.1 32b Think: 24.1 (#151)

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1272 |
| ARC-AGI-2 | 52.9% | — |
| SimpleBench | 45.8% | — |
| Kagi LLM Benchmark | 73.3% | — |
| NYT Connections (extended) | 83.6% | — |
| ARC-AGI-1 | 86.2% | — |
| Chess Puzzles | 49% | — |
| EnigmaEval | 10.4% | — |
| EBR-Bench | 23% | — |
| Mystery Game Puzzles | 23% | — |
| DTBench | 90.9% | — |
| LMCA | 43.9% | — |
| Epoch Capabilities Index | 153.45 | — |
| ForecastBench | 60.1 | — |

## Math

- GPT-5.2: 59.8 (#32)
- Olmo 3.1 32b Think: 33.6 (#170)

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1439 | 1305 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 72% | — |
| OTIS Mock AIME 2024-2025 | 96.1% | — |
| ProofBench | 15% | — |
| FrontierMath (Feb 2025 set) | 40.7% | — |
| FrontierMath Tier 4 (v1) | 18.8% | — |

## Knowledge

- GPT-5.2: 59.2 (#29)
- Olmo 3.1 32b Think: 35.0 (#178)

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1445 | 1294 |
| GPQA Diamond | 91.4% | — |
| Humanity's Last Exam | 27.8% | — |
| SimpleQA Verified | 37.1% | — |
| Vectara Hallucination Rate | 8.4% | — |

## Multimodal

- GPT-5.2: 50.9 (#7)
- Olmo 3.1 32b Think: —

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Vision | 1268 | — |
| VPCT | 84% | — |
| Furniture Assembly | 38.3% | — |
| LMArena Document | 1405 | — |

## Multilingual

- GPT-5.2: 53.6 (#63)
- Olmo 3.1 32b Think: 38.3 (#226)

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1425 | 1210 |
| LMArena Chinese | 1460 | 1241 |
| LMArena French | 1456 | 1262 |
| LMArena German | 1448 | 1260 |
| LMArena Russian | 1440 | 1193 |
| LMArena Spanish | 1433 | 1288 |
| LMArena Japanese | 1421 | — |
| LMArena Korean | 1390 | — |

## Instruction Following

- GPT-5.2: 74.9 (#83)
- Olmo 3.1 32b Think: 65.8 (#213)

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1417 | 1246 |

## Long Context

- GPT-5.2: 44.0 (#74)
- Olmo 3.1 32b Think: 38.6 (#190)

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1428 | 1272 |
| CL-bench | 18.2% | — |

## Writing & Preference

- GPT-5.2: 67.0 (#30)
- Olmo 3.1 32b Think: 46.4 (#215)

| Benchmark | GPT-5.2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1439 | 1271 |
| LMArena Creative Writing | 1402 | 1226 |
| LMArena Multi-Turn | 1458 | 1252 |
| EQ-Bench Creative Writing | 1703 | — |

## FAQ

### Is GPT-5.2 better than Olmo 3.1 32b Think?

GPT-5.2 is the stronger model overall, scoring 54.1 to 37.3 on the Noometry Index.

### Is GPT-5.2 or Olmo 3.1 32b Think better for coding?

GPT-5.2 scores higher on coding benchmarks: 52.2 versus 37.1 in the Noometry coding category.

### How many benchmarks do GPT-5.2 and Olmo 3.1 32b Think share?

15 benchmarks have published results for both models. GPT-5.2 has 67 scored results on Noometry and Olmo 3.1 32b Think has 15.