# Chatgpt 4o Latest 20250326 vs Olmo 2 0325 32b Instruct

> Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/chatgpt-4o-vs-olmo-2-0325-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 8 categories and Olmo 2 0325 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Chatgpt 4o Latest 20250326 leads 62.8 to 42.3.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 43.2 | 32.2 |
| Rank | 84 | 248 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Chatgpt 4o Latest 20250326: 41.0 (#122)
- Olmo 2 0325 32b Instruct: 34.6 (#222)

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1413 | 1210 |

## Reasoning

- Chatgpt 4o Latest 20250326: 32.8 (#64)
- Olmo 2 0325 32b Instruct: 22.6 (#174)

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1208 |
| Kagi LLM Benchmark | 75% | — |

## Math

- Chatgpt 4o Latest 20250326: 35.8 (#134)
- Olmo 2 0325 32b Instruct: 24.8 (#255)

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1407 | 1208 |
| Omni-MATH | — | 16.1% |

## Knowledge

- Chatgpt 4o Latest 20250326: 38.7 (#131)
- Olmo 2 0325 32b Instruct: 19.2 (#274)

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| Confabulations | 16.6% | — |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1400 | — |

## Multimodal

- Chatgpt 4o Latest 20250326: 38.9 (#54)
- Olmo 2 0325 32b Instruct: —

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Vision | 1243 | — |

## Multilingual

- Chatgpt 4o Latest 20250326: 53.1 (#72)
- Olmo 2 0325 32b Instruct: 35.0 (#243)

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1419 | 1160 |
| LMArena Chinese | 1456 | 1192 |
| LMArena Russian | 1429 | 1187 |
| LMArena French | 1447 | — |
| LMArena German | 1424 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1397 | — |
| LMArena Spanish | 1435 | — |

## Instruction Following

- Chatgpt 4o Latest 20250326: 74.2 (#102)
- Olmo 2 0325 32b Instruct: 61.8 (#238)

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1403 | 1186 |
| IFEval | — | 78% |

## Long Context

- Chatgpt 4o Latest 20250326: 43.1 (#104)
- Olmo 2 0325 32b Instruct: 36.2 (#229)

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | 1194 |

## Writing & Preference

- Chatgpt 4o Latest 20250326: 62.8 (#68)
- Olmo 2 0325 32b Instruct: 42.3 (#231)

| Benchmark | Chatgpt 4o Latest 20250326 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1429 | 1218 |
| LMArena Creative Writing | 1406 | 1199 |
| LMArena Multi-Turn | 1454 | 1221 |
| EQ-Bench Creative Writing | 1501 | — |
| WildBench | — | 73.4% |

## FAQ

### Is Chatgpt 4o Latest 20250326 better than Olmo 2 0325 32b Instruct?

Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 32.2 on the Noometry Index.

### Is Chatgpt 4o Latest 20250326 or Olmo 2 0325 32b Instruct better for coding?

Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.0 versus 34.6 in the Noometry coding category.

### How many benchmarks do Chatgpt 4o Latest 20250326 and Olmo 2 0325 32b Instruct share?

11 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.