# DeepSeek-R1 vs Gemma 1.1 7b IT

> DeepSeek-R1 is the stronger model overall, scoring 42.3 to 31.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-r1-vs-gemma-1-1-7b-it
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-R1 scores higher in 7 categories and Gemma 1.1 7b IT in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-R1 leads 61.4 to 30.4.
- Gemma 1.1 7b IT has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 42.3 | 31.3 |
| Rank | 115 | 277 |
| Context | 164K | — |
| Input $/M | $0.50 | — |
| Output $/M | $2.15 | — |
| Weights | Proprietary | Open |

## Coding

- DeepSeek-R1: 46.3 (#68)
- Gemma 1.1 7b IT: 31.5 (#284)

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Coding | 1427 | 1084 |
| Aider Polyglot | 71.4% | — |
| SciCode | 35.7% | — |
| WeirdML | 41.6% | — |
| LiveBench Coding | 66.7% | — |
| ALE-Bench | 804.12 | — |
| AlgoTune | 1.7 | — |
| HumanEval+ | — | 35.4% |
| MBPP+ | — | 45% |

## Agentic & Tool Use

- DeepSeek-R1: 30.7 (#75)
- Gemma 1.1 7b IT: —

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| DeepResearch Bench | 35.1% | — |
| BALROG | 34.9% | — |
| METR Time Horizons | 53.8% | — |

## Reasoning

- DeepSeek-R1: 18.6 (#278)
- Gemma 1.1 7b IT: 20.5 (#238)

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Hard Prompts | 1416 | 1071 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 40.8% | — |
| Kagi LLM Benchmark | 69.4% | — |
| ARC-AGI-1 | 21.2% | — |
| CritPt | 1.1% | — |
| LiveBench Reasoning | 83.2% | — |
| LiveBench Data Analysis | 69.8% | — |
| Epoch Capabilities Index | 141.29 | — |
| ForecastBench | 60 | — |
| LiveBench | 71.6% | — |

## Math

- DeepSeek-R1: 43.8 (#79)
- Gemma 1.1 7b IT: 32.0 (#220)

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Math | 1400 | 1107 |
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| Omni-MATH | 42.4% | — |
| LiveBench Math | 80.7% | — |
| MATH Level 5 | 96.6% | — |

## Knowledge

- DeepSeek-R1: 44.5 (#87)
- Gemma 1.1 7b IT: 28.3 (#247)

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Expert | 1394 | 1039 |
| GPQA Diamond | 76.3% | — |
| MMLU-Pro | 79.3% | — |
| Confabulations | 12.7% | — |
| Vectara Hallucination Rate | 11.3% | — |
| GPQA (HELM) | 66.6% | — |

## Multilingual

- DeepSeek-R1: 52.4 (#85)
- Gemma 1.1 7b IT: 28.1 (#273)

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Non-English | 1412 | 1052 |
| LMArena Chinese | 1442 | 1061 |
| LMArena French | 1417 | 1065 |
| LMArena German | 1404 | 1054 |
| LMArena Japanese | 1391 | 971 |
| LMArena Korean | 1360 | 988 |
| LMArena Russian | 1423 | 1046 |
| LMArena Spanish | 1411 | 1049 |

## Instruction Following

- DeepSeek-R1: 72.0 (#143)
- Gemma 1.1 7b IT: 54.0 (#283)

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Instruction Following | 1382 | 1057 |
| LiveBench Instruction Following | 80.5% | — |
| IFEval | 78.4% | — |

## Long Context

- DeepSeek-R1: 45.4 (#36)
- Gemma 1.1 7b IT: 32.1 (#272)

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Longer Query | 1391 | 1056 |
| Fiction.LiveBench | 75% | — |

## Writing & Preference

- DeepSeek-R1: 61.4 (#88)
- Gemma 1.1 7b IT: 30.4 (#288)

| Benchmark | DeepSeek-R1 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Text | 1428 | 1094 |
| LMArena Creative Writing | 1405 | 1060 |
| LMArena Multi-Turn | 1405 | 1040 |
| Short-Story Creative Writing | 83% | — |
| EQ-Bench Creative Writing | 1500 | — |
| WildBench | 82.8% | — |
| LiveBench Language | 48.5% | — |

## FAQ

### Is DeepSeek-R1 better than Gemma 1.1 7b IT?

DeepSeek-R1 is the stronger model overall, scoring 42.3 to 31.3 on the Noometry Index.

### Is DeepSeek-R1 or Gemma 1.1 7b IT better for coding?

DeepSeek-R1 scores higher on coding benchmarks: 46.3 versus 31.5 in the Noometry coding category.

### How many benchmarks do DeepSeek-R1 and Gemma 1.1 7b IT share?

17 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and Gemma 1.1 7b IT has 19.