# DeepSeek-V2 (MoE-236B, May 2024) vs Gemma 1.1 7b IT

> Gemma 1.1 7b IT has enough public results to be ranked (#275); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-gemma-1-1-7b-it
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 31.0.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 39.7 | 30.7 |
| Rank | — | 275 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Gemma 1.1 7b IT: 31.0 (#279)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1084 |
| BigCodeBench Complete | 59.4% | — |
| HumanEval+ | — | 35.4% |
| MBPP+ | — | 45% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemma 1.1 7b IT: 19.6 (#235)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Hard Prompts | — | 1071 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.78 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemma 1.1 7b IT: 29.5 (#217)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Math | — | 1107 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemma 1.1 7b IT: 27.8 (#242)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Expert | — | 1039 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemma 1.1 7b IT: 28.3 (#268)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Non-English | — | 1052 |
| LMArena Chinese | — | 1060 |
| LMArena French | — | 1064 |
| LMArena German | — | 1054 |
| LMArena Japanese | — | 971 |
| LMArena Korean | — | 988 |
| LMArena Russian | — | 1046 |
| LMArena Spanish | — | 1049 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemma 1.1 7b IT: 54.3 (#278)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Instruction Following | — | 1057 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemma 1.1 7b IT: 32.0 (#267)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Longer Query | — | 1056 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Gemma 1.1 7b IT: 30.6 (#283)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Text | — | 1094 |
| LMArena Creative Writing | — | 1059 |
| LMArena Multi-Turn | — | 1040 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Gemma 1.1 7b IT?

Gemma 1.1 7b IT has enough public results to be ranked (#275); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Gemma 1.1 7b IT better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 31.0 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Gemma 1.1 7b IT share?

0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Gemma 1.1 7b IT has 19.