# DeepSeek LLM 67B vs Gemma 7B

> Gemma 7B is the stronger model overall, scoring 30.0 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-gemma-7b
- 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 7B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 7B leads 31.2 to 8.7.

## Snapshot

| | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 24.9 | 30.0 |
| Rank | 347 | 299 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Gemma 7B: 30.5 (#294)

| Benchmark | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| LMArena Coding | 1096 | 1048 |
| HumanEval+ | — | 28.7% |
| MBPP+ | — | 43.4% |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Gemma 7B: 19.9 (#249)

| Benchmark | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1042 |
| Epoch Capabilities Index | 110.5 | 111.99 |
| Chess Puzzles | 0% | — |
| Adversarial NLI | — | 48.7% |
| BIG-Bench Hard | — | 55.1% |
| HellaSwag | — | 82.2% |
| PIQA | — | 81.2% |
| WinoGrande | — | 79% |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Gemma 7B: 31.2 (#228)

| Benchmark | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| LMArena Math | 1108 | 1066 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |
| GSM8K | — | 46.4% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Gemma 7B: 27.3 (#252)

| Benchmark | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1001 |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 83.2% |
| MMLU | — | 66.1% |
| OpenBookQA | — | 78.6% |
| TriviaQA | — | 72.3% |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Gemma 7B: 25.1 (#287)

| Benchmark | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| LMArena Non-English | 1073 | 999 |
| LMArena Chinese | 1132 | 1035 |
| LMArena French | — | 1025 |
| LMArena Russian | — | 993 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Gemma 7B: 51.5 (#295)

| Benchmark | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| LMArena Instruction Following | 1079 | 1017 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Gemma 7B: 31.1 (#282)

| Benchmark | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| LMArena Longer Query | 1092 | 1022 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Gemma 7B: 27.1 (#302)

| Benchmark | DeepSeek LLM 67B | Gemma 7B |
|---|---|---|
| LMArena Text | 1105 | 1056 |
| LMArena Creative Writing | 1067 | 1024 |
| LMArena Multi-Turn | 1082 | 963 |

## FAQ

### Is DeepSeek LLM 67B better than Gemma 7B?

Gemma 7B is the stronger model overall, scoring 30.0 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or Gemma 7B better for coding?

DeepSeek LLM 67B scores higher on coding benchmarks: 31.9 versus 30.5 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Gemma 7B share?

11 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemma 7B has 27.