# DeepSeek-V3.1 vs Gemma 3 4B

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 28.1 on the Noometry Index. Gemma 3 4B costs 8.5× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-gemma-3-4b
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Gemma 3 4B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V3.1 leads 43.7 to 11.8.
- The biggest single-benchmark swing is DTBench: 82.7% for DeepSeek-V3.1 and 50.9% for Gemma 3 4B.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- DeepSeek-V3.1 accepts more context: 164K tokens versus 131K.

## Snapshot

| | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 42.8 | 28.1 |
| Rank | 108 | 326 |
| Context | 164K | 131K |
| Input $/M | $0.25 | $0.04 |
| Output $/M | $0.95 | $0.08 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Gemma 3 4B: 35.9 (#215)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| LMArena Coding | 1417 | 1230 |
| WeirdML | 38.4% | — |

## Agentic & Tool Use

- DeepSeek-V3.1: —
- Gemma 3 4B: 20.9 (#142)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 19.6% |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Gemma 3 4B: 13.2 (#335)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | 25.2% |
| LMArena Hard Prompts | 1417 | 1253 |
| DTBench | 82.7% | 50.9% |
| LMCA | 24.3% | 2.8% |
| Epoch Capabilities Index | 139.92 | 116.02 |
| SimpleBench | 40% | — |
| Chess Puzzles | — | 0% |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Gemma 3 4B: 16.8 (#292)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| LMArena Math | 1420 | 1239 |
| OTIS Mock AIME 2024-2025 | — | 7.5% |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Gemma 3 4B: 11.8 (#299)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 6.4% |
| LMArena Expert | 1405 | 1223 |
| GPQA Diamond | — | 23.2% |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Gemma 3 4B: 42.5 (#194)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| LMArena Non-English | 1400 | 1273 |
| LMArena German | 1411 | 1281 |
| LMArena Russian | 1405 | 1294 |
| LMArena Chinese | 1469 | — |
| LMArena French | 1447 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |
| LMArena Spanish | 1431 | — |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Gemma 3 4B: 65.2 (#225)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| LMArena Instruction Following | 1400 | 1239 |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Gemma 3 4B: 38.7 (#194)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| LMArena Longer Query | 1422 | 1273 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Gemma 3 4B: 42.0 (#239)

| Benchmark | DeepSeek-V3.1 | Gemma 3 4B |
|---|---|---|
| LMArena Text | 1420 | 1291 |
| LMArena Creative Writing | 1401 | 1271 |
| EQ-Bench Creative Writing | 1436 | 1068 |
| LMArena Multi-Turn | 1408 | 1255 |

## FAQ

### Is DeepSeek-V3.1 better than Gemma 3 4B?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 28.1 on the Noometry Index. Gemma 3 4B costs 8.5× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.1 or Gemma 3 4B?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; DeepSeek-V3.1 lists at $0.25 and $0.95.

### Is DeepSeek-V3.1 or Gemma 3 4B better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-V3.1 does, with 164K tokens against 131K.

### How many benchmarks do DeepSeek-V3.1 and Gemma 3 4B share?

18 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemma 3 4B has 22.