# DeepSeek-V2.5 (Sep 2024) vs Olmo 3 32b Think

> Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-olmo-3-32b-think
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 4 categories and Olmo 3 32b Think in 4 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Olmo 3 32b Think leads 38.0 to 31.3.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 37.0 | 38.1 |
| Rank | 197 | 182 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Olmo 3 32b Think: 38.0 (#169)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1310 | 1318 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Olmo 3 32b Think: 24.9 (#138)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1302 |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Olmo 3 32b Think: 33.8 (#165)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1289 | 1315 |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Olmo 3 32b Think: 34.4 (#189)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1266 | 1272 |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Olmo 3 32b Think: 41.4 (#205)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1273 | 1255 |
| LMArena Chinese | 1317 | 1300 |
| LMArena French | 1288 | 1291 |
| LMArena German | 1258 | 1290 |
| LMArena Russian | 1289 | 1255 |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Olmo 3 32b Think: 67.4 (#193)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1280 | 1275 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Olmo 3 32b Think: 39.4 (#177)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1301 | 1296 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Olmo 3 32b Think: 49.2 (#188)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1294 | 1300 |
| LMArena Creative Writing | 1285 | 1256 |
| LMArena Multi-Turn | 1297 | 1289 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Olmo 3 32b Think?

Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 37.0 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Olmo 3 32b Think better for coding?

Olmo 3 32b Think scores higher on coding benchmarks: 38.0 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Olmo 3 32b Think share?

14 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Olmo 3 32b Think has 14.