# DeepSeek LLM 67B vs Gemma 2B

> Gemma 2B is the stronger model overall, scoring 29.6 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-gemma-2b
- Last updated: 2026-10-11
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 5 categories and Gemma 2B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 2B leads 30.0 to 8.7.

## Snapshot

| | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 24.9 | 29.6 |
| Rank | 347 | 307 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Gemma 2B: 29.4 (#305)

| Benchmark | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| LMArena Coding | 1096 | 1010 |
| HumanEval+ | — | 20.7% |
| MBPP+ | — | 34.1% |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Gemma 2B: 18.8 (#275)

| Benchmark | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| LMArena Hard Prompts | 1070 | 989 |
| Epoch Capabilities Index | 110.5 | 94.2 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | — | 35.2% |
| HellaSwag | — | 71.4% |
| PIQA | — | 77.3% |
| WinoGrande | — | 65.4% |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Gemma 2B: 30.0 (#239)

| Benchmark | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| LMArena Math | 1108 | 1009 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |
| GSM8K | — | 17.7% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Gemma 2B: —

| Benchmark | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| ARC (AI2) Challenge | — | 42.1% |
| BoolQ | — | 69.4% |
| MMLU | — | 42.3% |
| TriviaQA | — | 53.2% |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Gemma 2B: 23.0 (#294)

| Benchmark | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| LMArena Non-English | 1073 | 958 |
| LMArena Chinese | 1132 | 986 |
| LMArena Russian | — | 937 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Gemma 2B: 48.5 (#302)

| Benchmark | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| LMArena Instruction Following | 1079 | 970 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Gemma 2B: 29.9 (#291)

| Benchmark | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| LMArena Longer Query | 1092 | 981 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Gemma 2B: 24.0 (#308)

| Benchmark | DeepSeek LLM 67B | Gemma 2B |
|---|---|---|
| LMArena Text | 1105 | 1002 |
| LMArena Creative Writing | 1067 | 987 |
| LMArena Multi-Turn | 1082 | 945 |

## FAQ

### Is DeepSeek LLM 67B better than Gemma 2B?

Gemma 2B is the stronger model overall, scoring 29.6 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or Gemma 2B better for coding?

DeepSeek LLM 67B scores higher on coding benchmarks: 31.9 versus 29.4 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Gemma 2B share?

11 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemma 2B has 23.