# Amazon Nova Experimental Chat 11 10 vs Llama 2-7B

> Amazon Nova Experimental Chat 11 10 is the stronger model overall, scoring 42.4 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-llama-2-7b
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Amazon Nova Experimental Chat 11 10 scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Amazon Nova Experimental Chat 11 10 leads 59.0 to 28.1.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 42.4 | 28.6 |
| Rank | 101 | 315 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 11 10: 41.6 (#109)
- Llama 2-7B: 28.7 (#302)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1433 | 1002 |

## Reasoning

- Amazon Nova Experimental Chat 11 10: 27.9 (#94)
- Llama 2-7B: 15.1 (#309)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1009 |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 98.54 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- Amazon Nova Experimental Chat 11 10: 36.4 (#116)
- Llama 2-7B: 28.2 (#231)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| LMArena Math | 1431 | 1042 |
| GSM8K | — | 16.7% |

## Knowledge

- Amazon Nova Experimental Chat 11 10: 39.3 (#122)
- Llama 2-7B: 27.7 (#243)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1432 | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- Amazon Nova Experimental Chat 11 10: —
- Llama 2-7B: —

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |

## Multilingual

- Amazon Nova Experimental Chat 11 10: 52.1 (#91)
- Llama 2-7B: 23.9 (#288)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1405 | 973 |
| LMArena Chinese | 1463 | 973 |
| LMArena French | 1449 | 969 |
| LMArena German | 1396 | 978 |
| LMArena Russian | 1395 | 995 |
| LMArena Spanish | 1444 | 1007 |
| LMArena Japanese | 1383 | — |
| LMArena Korean | 1387 | — |

## Instruction Following

- Amazon Nova Experimental Chat 11 10: 73.4 (#118)
- Llama 2-7B: 51.0 (#293)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1387 | 1006 |

## Long Context

- Amazon Nova Experimental Chat 11 10: 42.5 (#116)
- Llama 2-7B: 30.4 (#282)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1395 | 999 |

## Writing & Preference

- Amazon Nova Experimental Chat 11 10: 59.0 (#109)
- Llama 2-7B: 28.1 (#293)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-7B |
|---|---|---|
| LMArena Text | 1415 | 1053 |
| LMArena Creative Writing | 1349 | 1033 |
| LMArena Multi-Turn | 1380 | 1029 |

## FAQ

### Is Amazon Nova Experimental Chat 11 10 better than Llama 2-7B?

Amazon Nova Experimental Chat 11 10 is the stronger model overall, scoring 42.4 to 28.6 on the Noometry Index.

### Is Amazon Nova Experimental Chat 11 10 or Llama 2-7B better for coding?

Amazon Nova Experimental Chat 11 10 scores higher on coding benchmarks: 41.6 versus 28.7 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 11 10 and Llama 2-7B share?

15 benchmarks have published results for both models. Amazon Nova Experimental Chat 11 10 has 17 scored results on Noometry and Llama 2-7B has 29.