# Deepseek Coder v2 vs Olmo 3.1 32b Think

> Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-olmo-3-1-32b-think
- Last updated: 2026-10-12
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Deepseek Coder v2 scores higher in 1 category and Olmo 3.1 32b Think in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 3.1 32b Think leads 46.2 to 38.2.

## Snapshot

| | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 35.9 | 37.9 |
| Rank | 220 | 191 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Olmo 3.1 32b Think: 37.7 (#189)

| Benchmark | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1251 | 1291 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Olmo 3.1 32b Think: 25.2 (#150)

| Benchmark | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1272 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Olmo 3.1 32b Think: 36.3 (#168)

| Benchmark | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1241 | 1305 |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Olmo 3.1 32b Think: 35.7 (#181)

| Benchmark | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1181 | 1295 |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Olmo 3.1 32b Think: 38.1 (#231)

| Benchmark | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1182 | 1209 |
| LMArena Chinese | 1201 | 1242 |
| LMArena French | 1185 | 1260 |
| LMArena German | 1164 | 1262 |
| LMArena Russian | 1188 | 1193 |
| LMArena Spanish | 1153 | 1289 |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Olmo 3.1 32b Think: 65.6 (#218)

| Benchmark | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1180 | 1247 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Olmo 3.1 32b Think: 38.6 (#195)

| Benchmark | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1219 | 1272 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Olmo 3.1 32b Think: 46.2 (#220)

| Benchmark | Deepseek Coder v2 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1191 | 1272 |
| LMArena Creative Writing | 1120 | 1226 |
| LMArena Multi-Turn | 1177 | 1252 |

## FAQ

### Is Deepseek Coder v2 better than Olmo 3.1 32b Think?

Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 35.9 on the Noometry Index.

### Is Deepseek Coder v2 or Olmo 3.1 32b Think better for coding?

They score almost the same on coding (38.1 vs 37.7); test both on your own repository before choosing.

### How many benchmarks do Deepseek Coder v2 and Olmo 3.1 32b Think share?

15 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Olmo 3.1 32b Think has 15.