# Amazon Nova Experimental Chat 10 20 vs Gemma 3 4B

> Amazon Nova Experimental Chat 10 20 is the stronger model overall, scoring 42.1 to 28.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-10-20-vs-gemma-3-4b
- Last updated: 2026-10-12
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 10 20 scores higher in 8 categories and Gemma 3 4B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Amazon Nova Experimental Chat 10 20 leads 38.5 to 11.8.
- Gemma 3 4B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| Provider | Amazon | Google |
| Noometry Index | 42.1 | 28.1 |
| Rank | 118 | 326 |
| Context | — | 131K |
| Input $/M | — | $0.04 |
| Output $/M | — | $0.08 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 10 20: 41.6 (#123)
- Gemma 3 4B: 35.9 (#215)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| LMArena Coding | 1412 | 1230 |

## Agentic & Tool Use

- Amazon Nova Experimental Chat 10 20: —
- Gemma 3 4B: 20.9 (#142)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 19.6% |

## Reasoning

- Amazon Nova Experimental Chat 10 20: 28.4 (#106)
- Gemma 3 4B: 13.2 (#335)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| LMArena Hard Prompts | 1396 | 1253 |
| Kagi LLM Benchmark | — | 25.2% |
| Chess Puzzles | — | 0% |
| DTBench | — | 50.9% |
| LMCA | — | 2.8% |
| Epoch Capabilities Index | — | 116.02 |

## Math

- Amazon Nova Experimental Chat 10 20: 39.0 (#119)
- Gemma 3 4B: 16.8 (#292)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| LMArena Math | 1425 | 1239 |
| OTIS Mock AIME 2024-2025 | — | 7.5% |

## Knowledge

- Amazon Nova Experimental Chat 10 20: 38.5 (#144)
- Gemma 3 4B: 11.8 (#299)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| LMArena Expert | 1386 | 1223 |
| GPQA Diamond | — | 23.2% |
| Vectara Hallucination Rate | — | 6.4% |

## Multilingual

- Amazon Nova Experimental Chat 10 20: 49.5 (#131)
- Gemma 3 4B: 42.5 (#194)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| LMArena Non-English | 1372 | 1273 |
| LMArena German | 1391 | 1281 |
| LMArena Russian | 1371 | 1294 |
| LMArena Chinese | 1404 | — |
| LMArena French | 1425 | — |
| LMArena Japanese | 1360 | — |
| LMArena Korean | 1324 | — |
| LMArena Spanish | 1382 | — |

## Instruction Following

- Amazon Nova Experimental Chat 10 20: 72.1 (#141)
- Gemma 3 4B: 65.2 (#225)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| LMArena Instruction Following | 1365 | 1239 |

## Long Context

- Amazon Nova Experimental Chat 10 20: 41.7 (#133)
- Gemma 3 4B: 38.7 (#194)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| LMArena Longer Query | 1370 | 1273 |

## Writing & Preference

- Amazon Nova Experimental Chat 10 20: 56.6 (#136)
- Gemma 3 4B: 42.0 (#239)

| Benchmark | Amazon Nova Experimental Chat 10 20 | Gemma 3 4B |
|---|---|---|
| LMArena Text | 1394 | 1291 |
| LMArena Creative Writing | 1318 | 1271 |
| LMArena Multi-Turn | 1364 | 1255 |
| EQ-Bench Creative Writing | — | 1068 |

## FAQ

### Is Amazon Nova Experimental Chat 10 20 better than Gemma 3 4B?

Amazon Nova Experimental Chat 10 20 is the stronger model overall, scoring 42.1 to 28.1 on the Noometry Index.

### Is Amazon Nova Experimental Chat 10 20 or Gemma 3 4B better for coding?

Amazon Nova Experimental Chat 10 20 scores higher on coding benchmarks: 41.6 versus 35.9 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 10 20 and Gemma 3 4B share?

12 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and Gemma 3 4B has 22.
