# GPT-4 vs Olmo 3 32b Think

> Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-vs-olmo-3-32b-think
- Last updated: 2026-10-11
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GPT-4 scores higher in 0 categories and Olmo 3 32b Think in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 3 32b Think leads 36.5 to 10.8.
- Olmo 3 32b Think has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 29.1 | 38.7 |
| Rank | 316 | 183 |
| Context | 8K | — |
| Input $/M | $30 | — |
| Output $/M | $60 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4: 31.6 (#283)
- Olmo 3 32b Think: 38.6 (#172)

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1254 | 1319 |
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- Olmo 3 32b Think: —

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| METR Time Horizons | 36.1% | — |

## Reasoning

- GPT-4: 17.8 (#289)
- Olmo 3 32b Think: 25.9 (#140)

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1302 |
| Chess Puzzles | 4% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| Epoch Capabilities Index | 125.89 | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |

## Math

- GPT-4: 10.8 (#309)
- Olmo 3 32b Think: 36.5 (#165)

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1269 | 1316 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |

## Knowledge

- GPT-4: 18.4 (#282)
- Olmo 3 32b Think: 35.0 (#190)

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1211 | 1273 |
| GPQA Diamond | 35.7% | — |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multilingual

- GPT-4: 40.6 (#215)
- Olmo 3 32b Think: 41.2 (#210)

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1246 | 1255 |
| LMArena Chinese | 1242 | 1300 |
| LMArena French | 1283 | 1291 |
| LMArena German | 1251 | 1290 |
| LMArena Russian | 1251 | 1254 |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1184 | — |
| LMArena Spanish | 1261 | — |

## Instruction Following

- GPT-4: 65.3 (#222)
- Olmo 3 32b Think: 67.2 (#198)

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1241 | 1275 |

## Long Context

- GPT-4: 37.7 (#212)
- Olmo 3 32b Think: 39.4 (#182)

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1244 | 1296 |

## Writing & Preference

- GPT-4: 34.9 (#268)
- Olmo 3 32b Think: 49.1 (#193)

| Benchmark | GPT-4 | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1263 | 1300 |
| LMArena Creative Writing | 1244 | 1256 |
| LMArena Multi-Turn | 1257 | 1290 |
| EQ-Bench Creative Writing | 752 | — |

## FAQ

### Is GPT-4 better than Olmo 3 32b Think?

Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 29.1 on the Noometry Index.

### Is GPT-4 or Olmo 3 32b Think better for coding?

Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 31.6 in the Noometry coding category.

### How many benchmarks do GPT-4 and Olmo 3 32b Think share?

14 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Olmo 3 32b Think has 14.