# Amazon Nova Experimental Chat 11 10 vs Gemma 3 4B

> Amazon Nova Experimental Chat 11 10 is the stronger model overall, scoring 42.4 to 27.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-gemma-3-4b
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 11 10 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 11 10 leads 39.3 to 11.8.
- Gemma 3 4B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| Provider | Amazon | Google |
| Noometry Index | 42.4 | 27.9 |
| Rank | 101 | 320 |
| Context | — | 131K |
| Input $/M | — | $0.04 |
| Output $/M | — | $0.08 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 11 10: 41.6 (#109)
- Gemma 3 4B: 35.3 (#214)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| LMArena Coding | 1433 | 1230 |

## Agentic & Tool Use

- Amazon Nova Experimental Chat 11 10: —
- Gemma 3 4B: 20.7 (#134)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 19.6% |

## Reasoning

- Amazon Nova Experimental Chat 11 10: 27.9 (#94)
- Gemma 3 4B: 12.7 (#330)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 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 11 10: 36.4 (#116)
- Gemma 3 4B: 15.8 (#286)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| LMArena Math | 1431 | 1239 |
| OTIS Mock AIME 2024-2025 | — | 7.5% |

## Knowledge

- Amazon Nova Experimental Chat 11 10: 39.3 (#122)
- Gemma 3 4B: 11.8 (#294)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| LMArena Expert | 1432 | 1223 |
| GPQA Diamond | — | 23.2% |
| Vectara Hallucination Rate | — | 6.4% |

## Multilingual

- Amazon Nova Experimental Chat 11 10: 52.1 (#91)
- Gemma 3 4B: 42.7 (#189)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| LMArena Non-English | 1405 | 1273 |
| LMArena German | 1396 | 1281 |
| LMArena Russian | 1395 | 1294 |
| LMArena Chinese | 1463 | — |
| LMArena French | 1449 | — |
| LMArena Japanese | 1383 | — |
| LMArena Korean | 1387 | — |
| LMArena Spanish | 1444 | — |

## Instruction Following

- Amazon Nova Experimental Chat 11 10: 73.4 (#118)
- Gemma 3 4B: 65.4 (#219)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| LMArena Instruction Following | 1387 | 1239 |

## Long Context

- Amazon Nova Experimental Chat 11 10: 42.5 (#116)
- Gemma 3 4B: 38.6 (#189)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| LMArena Longer Query | 1395 | 1274 |

## Writing & Preference

- Amazon Nova Experimental Chat 11 10: 59.0 (#109)
- Gemma 3 4B: 42.2 (#234)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Gemma 3 4B |
|---|---|---|
| LMArena Text | 1415 | 1291 |
| LMArena Creative Writing | 1349 | 1270 |
| LMArena Multi-Turn | 1380 | 1255 |
| EQ-Bench Creative Writing | — | 1068 |

## FAQ

### Is Amazon Nova Experimental Chat 11 10 better than Gemma 3 4B?

Amazon Nova Experimental Chat 11 10 is the stronger model overall, scoring 42.4 to 27.9 on the Noometry Index.

### Is Amazon Nova Experimental Chat 11 10 or Gemma 3 4B better for coding?

Amazon Nova Experimental Chat 11 10 scores higher on coding benchmarks: 41.6 versus 35.3 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 11 10 and Gemma 3 4B share?

12 benchmarks have published results for both models. Amazon Nova Experimental Chat 11 10 has 17 scored results on Noometry and Gemma 3 4B has 22.